Patent Publication Number: US-11645324-B2

Title: Location-based timeline media content system

Description:
CLAIM OF PRIORITY 
     This application claims the benefit of priority to U.S. Provisional Application Ser. No. 63/168,397 filed on Mar. 31, 2021, which is incorporated herein by reference in its entirety. 
    
    
     BACKGROUND 
     As the popularity of mobile based social networking systems continues to grow, users are increasingly sharing media content items, such as images, pictures, and video with each other. These media content items encourage electronic visual communication on a global scale and promote ease of use in interactive socialization. Social media sharing platforms allow users to share millions of messages between mobile devices within a social network environment. 
     Users of the social network can share media content, such as audio, photos, images, and videos between their perspective user devices (e.g., mobile devices, personal computers). The social media sharing platforms may further allow users to capture and share images and pictures with other users by exchanging text messages. Most social network systems include features that enable the user to compile and view photos and videos on their perspective mobile device. 
    
    
     
       BRIEF DESCRIPTION OF THE SEVERAL VIEWS OF THE DRAWINGS 
       In the drawings, which are not necessarily drawn to scale, like numerals may describe similar components in different views. To easily identify the discussion of any particular element or act, the most significant digit or digits in a reference number refer to the figure number in which that element is first introduced. Some nonlimiting examples are illustrated in the figures of the accompanying drawings in which: 
         FIG.  1    is a diagrammatic representation of a networked environment in which the present disclosure may be deployed, in accordance with some examples. 
         FIG.  2    is a diagrammatic representation of a messaging system, in accordance with some examples, that has both client-side and server-side functionality. 
         FIG.  3    is a diagrammatic representation of a data structure as maintained in a database, in accordance with some examples. 
         FIG.  4    is a diagrammatic representation of a message, in accordance with some examples. 
         FIG.  5    is a flowchart for an access-limiting process, in accordance with some examples. 
         FIG.  6    illustrates a flowchart of a process for generating a location-based media content collection in accordance with some examples. 
         FIG.  7    is a user interface diagram illustrating an example user interface of a location-based timeline content collection in accordance with one embodiment. 
         FIG.  8    is a user interface diagram illustrating an example user interface of an extended portion of the location-based timeline content collection in accordance with one embodiment. 
         FIG.  9    is a diagrammatic representation of a machine in the form of a computer system within which a set of instructions may be executed for causing the machine to perform any one or more of the methodologies discussed herein, in accordance with some examples. 
         FIG.  10    is a block diagram showing a software architecture within which examples may be implemented. 
         FIG.  11    is a diagrammatic representation of a processing environment, in accordance with some examples. 
     
    
    
     DETAILED DESCRIPTION 
     When users in social networking systems capture and generate media content items, such as photos and videos, the media content items are stored based on the date, time, and location. A media content item typically includes metadata reflecting the date, time, and location in which it was captured by a computing device (e.g., smartphone). Users typically capture and store photos and videos while in their current or prior home location or in a temporary location (vacationing, visiting friends/family). As the media content items accumulate in the user computing device&#39;s storage, it becomes increasingly difficult to view and display specific photos and videos that were captured during a certain time or location. 
     For instance, the user enables the system to generate a graphical compilation of media content items (e.g., content collection) that were captured and stored while the user was on vacation, visiting family and friends, or while the user was located in a location that was not his or her home location. However, due to data privacy and other data security concerns, the prior or prior home location of the user of the mobile device is not stored. The system only has access to a user&#39;s current home location. In order to accurately identify media content items that were captured and stored away from the current home location during a “trip” and generate the content collection for graphical display on a mobile device, the system must know all prior home locations in order to differentiate between the media content items that were captured while away from the home locations. 
     Using an example where a user lived in New York from 2015 until 2017, in 2015 the system would recognize the user&#39;s current home location as New York. Further, while located at the current home location, the user captured hundreds of photos and videos using the social networking system. Also, while the user was living in New York, in 2016 the user went on vacation to Paris and captured multiple photos and videos during the Paris trip. In 2017, the user moved to Los Angeles. The user&#39;s prior home location in New York was no longer recognized by the system. After the move to Los Angeles, the system would recognize the user&#39;s current home location as Los Angeles. 
     Due to data privacy and security technical features, the system would not store the user&#39;s prior home location (e.g., New York) and instead would recognize all locations associated with media content, other than Los Angeles e.g., New York and Paris) as temporary/vacationing locations. The system is enabled to generate media content collections containing photos and videos of vacationing destinations or trips. Thus, the system will generate a content collection made up of the hundreds of photos and videos captured while at the user&#39;s prior home location in New York, in addition to a content collection of the photos and videos captured and stored during the Paris trip. 
     By retrieving and generating the content collection from irrelevant media content items (e.g., a user&#39;s prior home location), the system components of the computing device are subject to increased. data usage, increased power consumption and excessive demand on processing power. Further, the system generates inaccurate graphical media item content collections. Accordingly, there is a need for an improved system that determines the prior home location of a user that is not stored in the computing mobile device based on analyzing the location and time of each stored media content item over a period of separate days, months, or years, and use the prior home location to determine certain photos and videos from a content collection related to a vacation destination or trip. 
     In at least one example of the present disclosure, a system is provided that generates a timeline media content item collection made up of a series of media content items, such as, photos and videos, that were captured and stored at a location and time different from prior and present home location of the user of the mobile computing device. The system analyzes the captured location and date of each media content item captured and stored by a mobile computing device and determines the media content items that were taken while at the user&#39;s current and present home location by analyzing how many media content items were captured and stored at each location across separate time periods (e.g., days, months, or years). 
     For instance, if a precision level threshold associated with the captured location and time of the stored media content items are met, the system determines that the media content items are associated with a prior home location or a present home location of the user of the computing device. The system determines the media content items that are associated with a prior home location or a present home location when generating the timeline media content item collection. The precision level threshold can be a date range in days, weeks, months, or years in which the media content items were captured and stored on the user&#39;s computing device. 
     Networked Computing Environment 
       FIG.  1    is a block diagram showing an example messaging system  100  for exchanging data (e.g., messages and associated content) over a network. The messaging system  100  includes multiple instances of a client device  102 , each of which hosts a number of applications, including a messaging client  104  and other applications  106 . Each messaging client  104  is communicatively coupled to other instances of the messaging client  104  (e.g., hosted on respective other client devices  102 ), a messaging server system  108  and third-party servers  110  via a network  112  (e.g., the Internet). A messaging client  104  can also communicate with locally-hosted applications  106  using Applications Program Interfaces (APIs). 
     A messaging client  104  is able to communicate and exchange data with other messaging clients  104  and with the messaging server system  108  via the network  112 . The data exchanged between messaging clients  104 , and between a messaging client  104  and the messaging server system  108 , includes functions (e.g., commands to invoke functions) as well as payload data (e.g., text, audio, video or other multimedia data). 
     The messaging server system  108  provides server-side functionality via the network  112  to a particular messaging client  104 . While certain functions of the messaging system  100  are described herein as being performed by either a messaging client  104  or by the messaging server system  108 , the location of certain functionality either within the messaging client  104  or the messaging server system  108  may be a design choice. For example, it may be technically preferable to initially deploy certain technology and functionality within the messaging server system  108  but to later migrate this technology and functionality to the messaging client  104  where a client device  102  has sufficient processing capacity. 
     The messaging server system  108  supports various services and operations that are provided to the messaging client  104 . Such operations include transmitting data to, receiving data from, and processing data generated by the messaging client  104 . This data may include message content, client device information, geolocation information, media augmentation and overlays, message content persistence conditions, social network information, and live event information, as examples. Data exchanges within the messaging system  100  are invoked and controlled through functions available via user interfaces (UIs) of the messaging client  104 . 
     Turning now specifically to the messaging server system  108 , an Application Program Interface (API) server  116  is coupled to, and provides a programmatic interface to, application servers  114 . The application servers  114  are communicatively coupled to a database server  120 , which facilitates access to a database  126  that stores data associated with messages processed by the application servers  114 . Similarly, a web server  128  is coupled to the application servers  114 , and provides web-based interfaces to the application servers  114 . To this end, the web server  128  processes incoming network requests over the Hypertext Transfer Protocol (HTTP) and several other related protocols. 
     The Application Program Interface (API) server  116  receives and transmits message data (e.g., commands and message payloads) between the client device  102  and the application servers  114 . Specifically, the Application Program Interface (API) server  116  provides a set of interfaces (e.g., routines and protocols) that can be called or queried by the messaging client  104  in order to invoke functionality of the application servers  114 . The Application Program Interface (API) server  116  exposes various functions supported by the application servers  114 , including account registration, login functionality, the sending of messages, via the application servers  114 , from a particular messaging client  104  to another messaging client  104 , the sending of media files (e.g., images or video) from a messaging client  104  to a messaging server  118 , and for possible access by another messaging client  104 , the settings of a collection of media data (e.g., story), the retrieval of a list of friends of a user of a client device  102 , the retrieval of such collections, the retrieval of messages and content, the addition and deletion of entities (e.g., friends) to an entity graph (e.g., a social graph), the location of friends within a social graph, and opening an application event (e.g., relating to the messaging client  104 ). 
     The application servers  114  host a number of server applications and subsystems, including for example a messaging server  118 , an image processing server  122 , and a social network server  124 . The messaging server  118  implements a number of message processing technologies and functions, particularly related to the aggregation and other processing of content (e.g., textual and multimedia content) included in messages received from multiple instances of the messaging client  104 . As will be described in further detail, the text and media content from multiple sources may be aggregated into collections of content (e.g., called stories or galleries). These collections are then made available to the messaging client  104 . Other processor and memory intensive processing of data may also be performed server-side by the messaging server  118 , in view of the hardware requirements for such processing. 
     The application servers  114  also include an image processing server  122  that is dedicated to performing various image processing operations, typically with respect to images or video within the payload of a message sent from or received at the messaging server  118 . 
     The social network server  124  supports various social networking functions and services and makes these functions and services available to the messaging server  118 . To this end, the social network server  124  maintains and accesses an entity graph  308  (as shown in  FIG.  3   ) within the database  126 . Examples of functions and services supported by the social network server  124  include the identification of other users of the messaging system  100  with which a particular user has relationships or is “following,” and also the identification of other entities and interests of a particular user. 
     Returning to the messaging client  104 , features and functions of an external resource (e.g., an application  106  or applet) are made available to a user via an interface of the messaging client  104 . In this context, “external” refers to the fact that the application  106  or applet is external to the messaging client  104 . The external resource is often provided by a third party but may also be provided by the creator or provider of the messaging client  104 . The messaging client  104  receives a user selection of an option to launch or access features of such an external resource. The external resource may be the application  106  installed on the client device  102  (e.g., a “native app”), or a small-scale version of the application (e.g., an “applet”) that is hosted on the client device  102  or remote of the client device  102  (e.g., on third-party servers  110 ). The small-scale version of the application includes a subset of features and functions of the application (e.g., the full-scale, native version of the application) and is implemented using a markup-language document. In one example, the small-scale version of the application (e.g., an “applet”) is a web-based, markup-language version of the application and is embedded in the messaging client  104 . In addition to using markup-language documents (e.g., a .*ml file), an apples may incorporate a scripting language (e.g., a .*js file or a .json file) and a style sheet (e.g., a .*ss file). 
     In response to receiving a user selection of the option to launch or access features of the external resource, the messaging client  104  determines whether the selected external resource is a web-based external resource or a locally-installed application  106 . In some cases, applications  106  that are locally installed on the client device  102  can be launched independently of and separately from the messaging client  104 , such as by selecting an icon, corresponding to the application  106 , on a home screen of the client device  102 . Small-scale versions of such applications can be launched or accessed via the messaging client  104  and, in some examples, no or limited portions of the small-scale application can be accessed outside of the messaging client  104 . The small-scale application can be launched by the messaging client  104  receiving, from a third-party server  110  for example, a markup-language document associated with the small-scale application and processing such a document. 
     In response to determining that the external resource is a locally-installed application  106 , the messaging client  104  instructs the client device  102  to launch the external resource by executing locally-stored code corresponding to the external resource. In response to determining that the external resource is a web-based resource, the messaging client  104  communicates with the third-party servers  110  (for example) to obtain a markup-language document corresponding to the selected external resource. The messaging client  104  then processes the obtained markup-language document to present the web-based external resource within a user interface of the messaging client  104 . 
     The messaging client  104  can notify a user of the client device  102 , or other users related to such a user (e.g., “friends”), of activity taking place in one or more external resources. For example, the messaging client  104  can provide participants in a conversation (e.g., a chat session) in the messaging client  104  with notifications relating to the current or recent use of an external resource by one or more members of a group of users. One or more users can be invited to join in an active external resource or to launch a recently-used but currently inactive (in the group of friends) external resource. The external resource can provide participants in a conversation, each using respective messaging clients  104 , with the ability to share an item, status, state, or location in an external resource with one or more members of a group of users into a chat session. The shared item may be an interactive chat card with which members of the chat can interact, for example, to launch the corresponding external resource, view specific information within the external resource, or take the member of the chat to a specific location or state within the external resource. Within a given external resource, response messages can be sent to users on the messaging client  104 . The external resource can selectively include different media items in the responses, based on a current context of the external resource. 
     The messaging client  104  can present a list of the available external resources (e.g., applications  106  or applets) to a user to launch or access a given external resource. This list can be presented in a context-sensitive menu. For example, the icons representing different ones of the application  106  (or applets) can vary based on how the menu is launched by the user (e.g., from a conversation interface or from a non-conversation interface). 
     System Architecture 
       FIG.  2    is a block diagram illustrating further details regarding the messaging system  100 , according to some examples. Specifically, the messaging system  100  is shown to comprise the messaging client  104  and the application servers  114 . The messaging system  100  embodies a number of subsystems, which are supported on the client-side by the messaging client  104  and on the sever-side by the application servers  114 . These subsystems include, for example, an ephemeral timer system  202 , a collection management system  204 , an augmentation system  208 , a map system  210 , a game system  212 , an external resource system  214 , and location-based media content collection system  216 . 
     The ephemeral timer system  202  is responsible for enforcing the temporary or time-limited access to content by the messaging client  104  and the messaging server  118 . The ephemeral timer system  202  incorporates a number of timers that, based on duration and display parameters associated with a message, or collection of messages (e.g., a story), selectively enable access (e.g., for presentation and display) to messages and associated content via the messaging client  104 . Further details regarding the operation of the ephemeral tinier system  202  are provided below. 
     The collection management system  204  is responsible for managing sets or collections of media (e.g., collections of text, image video, and audio data). A collection of content (e.g., messages, including images, video, text, and audio) may be organized into an “event gallery” or an “event story.” Such a collection may be made available for a specified time period, such as the duration of an event to which the content relates. For example, content relating to a music concert may be made available as a “story” for the duration of that music concert. The collection management system  204  may also be responsible for publishing an icon that provides notification of the existence of a particular collection to the user interface of the messaging client  104 . 
     The collection management system  204  furthermore includes a curation interface  206  that allows a collection manager to manage and curate a particular collection of content. For example, the curation interface  206  enables an event organizer to curate a collection of content relating to a specific event (e.g., delete inappropriate content or redundant messages). Additionally, the collection management system  204  employs machine vision (or image recognition technology) and content rules to automatically curate a content collection. In certain examples, compensation may be paid to a user for the inclusion of user-generated content into a collection. In such cases, the collection management system  204  operates to automatically make payments to such users for the use of their content. 
     The augmentation system  208  provides various functions that enable a user to augment (e.g., annotate or otherwise modify or edit) media content associated with a message. For example, the augmentation system  208  provides functions related to the generation and publishing of media overlays for messages processed by the messaging system  100 . The augmentation system  208  operatively supplies a media overlay or augmentation (e.g., an image filter) to the messaging client  104  based on a geolocation of the client device  102 . In another example, the augmentation system  208  operatively supplies a media overlay to the messaging client  104  based on other information, such as social network information of the user of the client device  102 . A media overlay may include audio and visual content and visual effects. Examples of audio and visual content include pictures, texts, logos, animations, and sound effects. An example of a visual effect includes color overlaying. The audio and visual content or the visual effects can be applied to a media content item (e.g., a photo) at the client device  102 . For example, the media overlay may include text or image that can be overlaid on top of a photograph taken by the client device  102 . In another example, the media overlay includes an identification of a location overlay (e.g., Venice beach), a name of a live event, or a name of a merchant overlay (e.g., Beach Coffee House). In another example, the augmentation system  208  uses the geolocation of the client device  102  to identify a media overlay that includes the name of a merchant at the geolocation of the client device  102 . The media overlay may include other indicia associated with the merchant. The media overlays may be stored in the database  126  and accessed through the database server  120 . 
     In some examples, the augmentation system  208  provides a user-based publication platform that enables users to select a geolocation on a map and upload content associated with the selected geolocation. The user may also specify circumstances under which a particular media overlay should be offered to other users. The augmentation system  208  generates a media overlay that includes the uploaded content and associates the uploaded content with the selected geolocation. 
     In other examples, the augmentation system  208  provides a merchant-based publication platform that enables merchants to select a particular media overlay associated with a geolocation via a bidding process. For example, the augmentation system  208  associates the media overlay of the highest bidding merchant with a corresponding geolocation for a predefined amount of time. 
     The map system  210  provides various geographic location functions, and supports the presentation of map-based media content and messages by the messaging client  104 . For example, the map system  210  enables the display of user icons or avatars (e.g., stored in profile data  316 ) on a map to indicate a current or past location of “friends” of a user, as well as media content (e.g., collections of messages including photographs and videos) generated by such friends, within the context of a map. For example, a message posted by a user to the messaging system  100  from a specific geographic location may be displayed within the context of a map at that particular location to “friends” of a specific user on a map interface of the messaging client  104 . A user can furthermore share his or her location and status information (e.g., using an appropriate status avatar) with other users of the messaging system  100  via the messaging client  104 , with this location and status information being similarly displayed within the context of a map interface of the messaging client  104  to selected users. 
     The game system  212  provides various gaming functions within the context of the messaging client  104 . The messaging client  104  provides a game interface providing a list of available games that can be launched by a user within the context of the messaging client  104 , and played with other users of the messaging system  100 . The messaging system  100  further enables a particular user to invite other users to participate in the play of a specific game, by issuing invitations to such other users from the messaging client  104 . The messaging client  104  also supports both the voice and text messaging (e.g., chats) within the context of gameplay, provides a leaderboard for the games, and also supports the provision of in-game rewards (e.g., coins and items). 
     The external resource system  214  provides an interface for the messaging client  104  to communicate with remote servers (e.g. third-party servers  110 ) to launch or access external resources, i.e. applications or applets. Each third-party server  110  hosts, for example, a markup language (e.g., HTML5) based application or small-scale version of an application (e.g., game, utility, payment, or ride-sharing application). The messaging client  104  may launches a web-based resource (e.g., application) by accessing the HTML5 file from the third-party servers  110  associated with the web-based resource. In certain examples, applications hosted by third-party servers  110  are programmed in JavaScript leveraging a Software Development Kit (SDK) provided by the messaging server  118 . The SDK includes Application Programming Interfaces (APIs) with functions that can be called or invoked by the web-based application. In certain examples, the messaging server  118  includes a JavaScript library that provides a given external resource access to certain user data of the messaging client  104 . HTML5 is used as an example technology for programming games, but applications and resources programmed based on other technologies can be used. 
     In order to integrate the functions of the SDK into the web-based resource, the SDK is downloaded by a third-party server  110  from the messaging server  118  or is otherwise received by the third-party server  110 . Once downloaded or received, the SDK is included as part of the application code of a web-based external resource. The code of the web-based resource can then call or invoke certain functions of the SDK to integrate features of the messaging client  104  into the web-based resource. 
     The SDK stored on the messaging server  118  effectively provides the bridge between an external resource (e.g., applications  106  or applets and the messaging client  104 . This provides the user with a seamless experience of communicating with other users on the messaging client  104 , while also preserving the look and feel of the messaging client  104 . To bridge communications between an external resource and a messaging client  104 , in certain examples, the SDK facilitates communication between third-party servers  110  and the messaging client  104 . In certain examples, a WebViewJavaScriptBridge running on a client device  102  establishes two one-way communication channels between an external resource and the messaging client  104 . Messages are sent between the external resource and the messaging client  104  via these communication channels asynchronously. Each SDK function invocation is sent as a message and callback. Each SDK function is implemented by constructing a unique callback identifier and sending a message with that callback identifier. 
     By using the SDK, not all information from the messaging client  104  is shared with third-party servers  110 . The SDK limits which information is shared based on the needs of the external resource. In certain examples, each third-party server  110  provides an HTML5 file corresponding to the web-based external resource to the messaging server  118 . The messaging server  118  can add a visual representation (such as a box art or other graphic) of the web-based external resource in the messaging client  104 . Once the user selects the visual representation or instructs the messaging client  104  through a GUI of the messaging client  104  to access features of the web-based external resource, the messaging client  104  obtains the HTML5 file and instantiates the resources necessary to access the features of the web-based external resource. 
     The messaging client  104  presents a graphical user interface (e.g., a landing page or title screen) for an external resource. During, before, or after presenting the landing page or title screen, the messaging client  104  determines whether the launched external resource has been previously authorized to access user data of the messaging client  104 . In response to determining that the launched external resource has been previously authorized to access user data of the messaging client  104 , the messaging client  104  presents another graphical user interface of the external resource that includes functions and features of the external resource. In response to determining that the launched external resource has not been previously authorized to access user data of the messaging client  104 , after a threshold period of time (e.g., 3 seconds) of displaying the landing page or title screen of the external resource, the messaging client  104  slides up (e.g., animates a menu as surfacing from a bottom of the screen to a middle of or other portion of the screen) a menu for authorizing the external resource to access the user data. The menu identities the type of user data that the external resource will be authorized to use. In response to receiving a user selection of an accept option, the messaging client  104  adds the external resource to a list of authorized external resources and allows the external resource to access user data from the messaging client  104 . In some examples, the external resource is authorized by the messaging client  104  to access the user data in accordance with an OAuth 2 framework. 
     The messaging client  104  controls the type of user data that is shared with external resources based on the type of external resource being authorized. For example, external resources that include full-scale applications (e.g., an application  106 ) are provided with access to a first type of user data (e.g., only two-dimensional avatars of users with or without different avatar characteristics). As another example, external resources that include small-scale versions of applications (e.g., web-based versions of applications) are provided with access to a second type of user data (e.g., payment information, two-dimensional avatars of users, three-dimensional avatars of users, and avatars with various avatar characteristics). Avatar characteristics include different ways to customize a look and feel of an avatar, such as different poses, facial features, clothing, and so forth. 
     The location-based media content collection system  216  provides various operations, routines, and functions within the context of the messaging client  104  and the application servers  114 . The operations of the location-based media content collection system  216  are executed at the messaging client  104 , application servers  114 , or a third party server. In one example, the location-based media content collection system  216  retrieves a set of media content items, such as photos and videos from a database (e.g., database  126  as explained below). Each media content item includes a geohash. In communication with the map system  210 , the geohash represents longitude and latitude location information in which the media content item was captured by a computing device, such as client device  102 , during a predetermined time period. The geohash includes the time (e.g., day, month, year, hour, minutes, and seconds) in which the media content item was captured. 
     The location-based media content collection system  216  analyzes the geohash associated with each retrieved media content item and determines and identifies, utilizing machine learning algorithms, routines, and operations, which media content item&#39;s geohash includes captured time and captured location information that exceeds a predetermined precision level threshold over a predetermined period of time. The location-based media content collection system  216  also determines and identifies which media content item&#39;s geohash includes captured time and captured location information that falls below a predetermined precision level threshold over a predetermined period of time. 
     In one example, the precision level threshold represents a value defining a predetermined time in which the media content item was captured or stored in a proximity or region associated with a user profile of the messaging client  104 . In another example, the precision level threshold is a value defining a predetermined geolocation in which the media content item was captured or stored within a proximity, radius, or region of the domicile geolocation of the user profile associated with the messaging client  104  or a value defining a predetermined distance in which the media content item was captured or stored within a proximity, radius, or region of the domicile geolocation of the user profile associated with the messaging client  104 . In other examples, the precision level threshold is a value defining a predetermined frequency in which the media content item was captured or stored within a proximity, radius, or region of the domicile geolocation of the user profile associated with the messaging client  104 . 
     In one example, when the location-based media content collection system  216  determines each media content item containing a geohash that exceeds the precision level threshold, the location-based media content collection system  216  identifies and groups each media content item into a subset of media content items and associates the subset of media content items with a domicile geolocation on a map interface from the map system  210 . The domicile geolocation represents a present or prior home location of the user associated with the messaging client  104  that defines a radius, proximity, or region of interest of the prior or present home location. In another example, when the location-based media content collection system  216  determines each media content item containing a geohash that falls below the precision level threshold, the location-based media content collection system  216  identifies and groups each media content item into second subset of media content items. 
     The location-based media content collection system  216 , in another example, generates a location based timeline media content item collection or a timeline media content item collection that is made up of the second subset of media content items which each include a geohash that represents a captured time and captured location outside of the radius, proximity, or region of interest of the domicile geolocation (e.g., present or prior home location associated with the user). The location-based media content collection system  216  causes the display of a media content collection interface that renders and presents the location-based timeline media content item collection. 
     Data Architecture 
       FIG.  3    is a schematic diagram illustrating data structures  300 , which may be stored in the database  126  of the messaging server system  108 , according to certain examples. While the content of the database  126  is shown to comprise a number of tables, it will be appreciated that the data could be stored in other types of data structures (e.g., as an object-oriented database). 
     The database  126  includes message data stored within a message table  302 . This message data includes, for any particular one message, at least message sender data, message recipient (or receiver) data, and a payload. Further details regarding information that may be included in a message, and included within the message data stored in the message table  302  is described below with reference to  FIG.  4   . 
     An entity table  306  stores entity data, and is linked (e.g., referentially) to an entity graph  308  and profile data  316 . Entities for which records are maintained within the entity table  306  may include individuals, corporate entities, organizations, objects, places, events, and so forth. Regardless of entity type, any entity regarding which the messaging server system  108  stores data may be a recognized entity. Each entity is provided with a unique identifier, as well as an entity type identifier (not shown). 
     The entity graph  308  stores information regarding relationships and associations between entities. Such relationships may be social, professional (e.g., work at a common corporation or organization) interested-based or activity-based, merely for example. 
     The profile data  316  stores multiple types of profile data about a particular entity. The profile data  316  may be selectively used and presented to other users of the messaging system  100 , based on privacy settings specified by a particular entity. Where the entity is an individual, the profile data  316  includes, for example, a user name, telephone number, address, settings (e.g., notification and privacy settings), as well as a user-selected avatar representation (or collection of such avatar representations). A particular user may then selectively include one or more of these avatar representations within the content of messages communicated via the messaging system  100 , and on map interfaces displayed by messaging clients  104  to other users. The collection of avatar representations may include “status avatars,” which present a graphical representation of a status or activity that the user may select to communicate at a particular time. 
     Where the entity is a group, the profile data  316  for the group may similarly include one or more avatar representations associated with the group, in addition to the group name, members, and various settings (e.g., notifications) for the relevant group. 
     The database  126  also stores augmentation data, such as overlays or filters, in an augmentation table  310 . The augmentation data is associated with and applied to videos (for which data is stored in a video table  304 ) and images (for which data is stored in an image table  312 ). 
     Filters, in one example, are overlays that are displayed as overlaid on an image or video during presentation to a recipient user. Filters may be of various types, including user-selected filters from a set of filters presented to a sending user by the messaging client  104  when the sending user is composing a message. Other types of filters include geolocation filters (also known as geo-filters), which may be presented to a sending user based on geographic location. For example, geolocation filters specific to a neighborhood or special location may be presented within a user interface by the messaging client  104 , based on geolocation information determined by a Global Positioning System (GPS) unit of the client device  102 . 
     Another type of filter is a data filter, which may be selectively presented to a sending user by the messaging client  104 , based on other inputs or information gathered by the client device  102  during the message creation process. Examples of data filters include current temperature at a specific location, a current speed at which a sending user is traveling, battery life for a client device  102 , or the current time. 
     Other augmentation data that may be stored within the image table  312  includes augmented reality content items (e.g., corresponding to applying Lenses or augmented reality experiences). An augmented reality content item may be a real-time special effect and sound that may be added to an image or a video. 
     As described above, augmentation data includes augmented reality content items, overlays, image transformations, AR images, and similar terms refer to modifications that may be applied to image data (e.g., videos or images). This includes real-time modifications, which modify an image as it is captured using device sensors (e.g., one or multiple cameras) of a client device  102  and then displayed on a screen of the client device  102  with the modifications. This also includes modifications to stored content, such as video clips in a gallery that may be modified. For example, in a client device  102  with access to multiple augmented reality content items, a user can use a single video clip with multiple augmented reality content items to see how the different augmented reality content items will modify the stored clip. For example, multiple augmented reality content items that apply different pseudorandom movement models can be applied to the same content by selecting different augmented reality content items for the content. Similarly, real-time video capture may be used with an illustrated modification to show how video images currently being captured by sensors of a client device  102  would modify the captured data. Such data may simply be displayed on the screen and not stored in memory, or the content captured by the device sensors may be recorded and stored in memory with or without the modifications or both). In some systems, a preview feature can show how different augmented reality content items will look within different windows in a display at the same time. This can, for example, enable multiple windows with different pseudorandom animations to be viewed on a display at the same time. 
     Data and various systems using augmented reality content items or other such transform systems to modify content using this data can thus involve detection of objects (e.g., faces, hands, bodies, cats, dogs, surfaces, objects, etc.), tracking of such objects as they leave, enter, and move around the field of view in video frames, and the modification or transformation of such objects as they are tracked. In various examples, different methods for achieving such transformations may be used. Some examples may involve generating a three-dimensional mesh model of the object or objects, and using transformations and animated textures of the model within the video to achieve the transformation. In other examples, tracking of points on an object may be used to place an image or texture (which may be two dimensional or three dimensional) at the tracked position. In still further examples, neural network analysis of video frames may be used to place images, models, or textures in content (e.g., images or frames of video). Augmented reality content items thus refer both to the images, models, and textures used to create transformations in content, as well as to additional modeling and analysis information needed to achieve such transformations with object detection, tracking, and placement. 
     Real-time video processing can be performed with any kind of video data (e.g., video streams, video files, etc.) saved in a memory of a computerized system of any kind. For example, a user can load video files and save them in a memory of a device, or can generate a video stream using sensors of the device. Additionally, any objects can be processed using a computer animation model, such as a human&#39;s face and parts of a human body, animals, or non-living things such as chairs, cars, or other objects. 
     In some examples, when a particular modification is selected along with content to be transformed, elements to be transformed are identified by the computing device, and then detected and tracked if they are present in the frames of the video. The elements of the object are modified according to the request for modification, thus transforming the frames of the video stream. Transformation of frames of a video stream can be performed by different methods for different kinds of transformation. For example, for transformations of frames mostly referring to changing forms of object&#39;s elements characteristic points for each element of an object are calculated (e.g., using an Active Shape Model (ASM) or other known methods). Then, a mesh based on the characteristic points is generated for each of the at least one element of the object. This mesh used in the following stage of tracking the elements of the object in the video stream. In the process of tracking, the mentioned mesh for each element is aligned with a position of each element. Then, additional points are generated on the mesh. A first set of first points is generated for each element based on a request for modification, and a set of second points is generated for each element based on the set of first points and the request for modification. Then, the frames of the video stream can be transformed by modifying the elements of the object on the basis of the sets of first and second points and the mesh. In such method, a background of the modified object can be changed or distorted as well by tracking and modifying the background. 
     In some examples, transformations changing some areas of an object using its elements can be performed by calculating characteristic points for each element of an object and generating a mesh based on the calculated characteristic points. Points are generated on the mesh, and then various areas based on the points are generated. The elements of the object are then tracked by aligning the area for each element with a position for each of the at least one element, and properties of the areas can be modified based on the request for modification, thus transforming the frames of the video stream. Depending on the specific request for modification properties of the mentioned areas can be transformed in different ways. Such modifications may involve changing color of areas; removing at least some part of areas from the frames of the video stream; including one or more new objects into areas which are based on a request for modification; and modifying or distorting the elements of an area or object. In various examples, any combination of such modifications or other similar modifications may be used. For certain models to be animated, some characteristic points can be selected as control points to be used in determining the entire state-space of options for the model animation. 
     In some examples of a computer animation model to transform image data using face detection, the face is detected on an image with use of a specific face detection algorithm (e.g., Viola-Jones). Then, an Active Shape Model (ASM) algorithm is applied to the face region of an image to detect facial feature reference points. 
     Other methods and algorithms suitable for face detection can be used. For example, in some examples, features are located using a landmark, which represents a distinguishable point present in most of the images under consideration. For facial landmarks, for example, the location of the left eye pupil may be used. If an initial landmark is not identifiable (e.g., if a person has an eyepatch), secondary landmarks may be used. Such landmark identification procedures may be used for any such objects. In some examples, a set of landmarks forms a shape. Shapes can be represented as vectors using the coordinates of the points in the shape. One shape is aligned to another with a similarity transform (allowing translation, scaling, and rotation) that minimizes the average Euclidean distance between shape points. The mean shape is the mean of the aligned training shapes. 
     In some examples, a search for landmarks from the mean shape aligned to the position and size of the face determined by a global face detector is started. Such a search then repeats the steps of suggesting a tentative shape by adjusting the locations of shape points by template matching of the image texture around each point and then conforming the tentative shape to a global shape model until convergence occurs. In some systems, individual template matches are unreliable, and the shape model pools the results of the weak template matches to form a stronger overall classifier. The entire search is repeated at each level in an image pyramid, from coarse to fine resolution. 
     A transformation system can capture an image or video stream on a client device (e.g., the client device  102 ) and perform complex image manipulations locally on the client device  102  while maintaining a suitable user experience, computation time, and power consumption. The complex image manipulations may include size and shape changes, emotion transfers (e.g., changing a face from a frown to a smile), state transfers (e.g., aging a subject, reducing apparent age, changing gender), style transfers, graphical element application, and any other suitable image or video manipulation implemented by a convolutional neural network that has been configured to execute efficiently on the client device  102 . 
     In some examples, a computer animation model to transform image data can be used by a system where a user may capture an image or video stream of the user (e.g., a selfie) using a client device  102  having a neural network operating as part of a messaging client  104  operating on the client device  102 . The transformation system operating within the messaging client  104  determines the presence of a face within the image or video stream and provides modification icons associated with a computer animation model to transform image data, or the computer animation model can be present as associated with an interface described herein. The modification icons include changes that may be the basis for modifying the user&#39;s face within the image or video stream as part of the modification operation. Once a modification icon is selected, the transform system initiates a process to convert the image of the user to reflect the selected modification icon (e.g., generate a smiling face on the user). A modified image or video stream may be presented in a graphical user interface displayed on the client device  102  as soon as the image or video stream is captured, and a specified modification is selected. The transformation system may implement a complex convolutional neural network on a portion of the image or video stream to generate and apply the selected modification. That is, the user may capture the image or video stream and be presented with a modified result in real-time or near real-time once a modification icon has been selected. Further, the modification may be persistent while the video stream is being captured, and the selected modification icon remains toggled. Machine taught neural networks may be used to enable such modifications. 
     The graphical user interface, presenting the modification performed by the transform system, may supply the user with additional interaction options. Such options may be based on the interface used to initiate the content capture and selection of a particular computer animation model (e.g., initiation from a content creator user interface). In various examples, a modification may be persistent after an initial selection of a modification icon. The user may toggle the modification on or off by tapping or otherwise selecting the face being modified by the transformation system and store it for later viewing or browse to other areas of the imaging application. Where multiple faces are modified by the transformation system, the user may toggle the modification on or off globally by tapping or selecting a single face modified and displayed within a graphical user interface. In some examples, individual faces, among a group of multiple faces, may be individually modified, or such modifications may be individually toggled by tapping or selecting the individual face or a series of individual faces displayed within the graphical user interface. 
     A story table  314  stores data regarding collections of messages and associated image, video, or audio data, which are compiled into a media content item collection (e.g., a story or a gallery). The creation of a particular collection may be initiated by a particular user (e.g., each user for which a record is maintained in the entity table  306 ). A user may create a “personal story” in the form of a collection of content that has been created and sent/broadcast by that user. To this end, the user interface of the messaging client  104  may include an icon that is user-selectable to enable a sending user to add specific content to his or her personal story. 
     A media content item collection may also constitute a “live story,” which is a collection or compilation of media content items from multiple users that is created manually, automatically, or using a combination of manual and automatic techniques. For example, a “live story” may constitute a created stream of user-submitted content from varies locations and events. Users whose client devices have location services enabled and are at a common location event at a particular time may, for example, be presented with an option, via a user interface of the messaging client  104 , to contribute content to a particular live story. The live story may be identified to the user by the messaging client  104 , based on his or her location. The end result is a “live story” told from a community perspective. 
     A further type of media content item collection is known as a “location story,” which enables a user whose client device  102  is located within a specific geographic location (e.g., on a college or university campus) to contribute to a particular collection. In some examples, a contribution to a location story may require a second degree of authentication to verify that the end user belongs to a specific organization or other entity (e.g., is a student on the university campus). 
     As mentioned above, the video table  304  stores video data that, in one example, is associated with messages for which records are maintained within the message table  302 . Similarly, the image table  312  stores image data associated with messages for which message data is stored in the entity table  306 . The entity table  306  may associate various augmentations from the augmentation table  310  with various images and videos stored in the image table  312  and the video table  304 . 
     Data Communications Architecture 
       FIG.  4    is a schematic diagram illustrating a structure of a message  400 , according to some examples, generated by a messaging client  104  for communication to a further messaging client  104  or the messaging server  118 . The content of a particular message  400  is used to populate the message table  302  stored within the database  126 , accessible by the messaging server  118 . Similarly, the content of a message  400  is stored in memory as “in-transit” or “in-flight” data of the client device  102  or the application servers  114 . A message  400  is shown to include the following example components:
         message identifier  402 : a unique identifier that identifies the message  400 .   message text payload  404 : text, to be generated by a user via a user interface of the client device  102 , and that is included in the message  400 .   message image payload  406 : image data, captured by a camera component of a client device  102  or retrieved from a memory component of a client device  102 , and that is included in the message  400 . Image data for a sent or received message  400  may be stored in the image table  312 .   message video payload  408 : video data, captured by a camera component or retrieved from a memory component of the client device  102 , and that is included in the message  400 . Video data for a sent or received message  400  may be stored in the video table  304 .   message audio payload  410 : audio data, captured by a microphone or retrieved from a memory component of the client device  102 , and that is included in the message  400 .   message augmentation data  412 : augmentation data (e.g., filters, stickers, or other annotations or enhancements) that represents augmentations to be applied to message image payload  406 , message video payload  408 , or message audio payload  410  of the message  400 . Augmentation data for a sent or received message  400  may be stored in the augmentation table  310 .   message duration parameter  414 : parameter value indicating, in seconds, the amount of time for which content of the message (e.g., the message image payload  406 , message video payload  408 , message audio payload  410 ) is to be presented or made accessible to a user via the messaging client  104 .   message geolocation parameter  416 : geolocation data (e.g., latitudinal and longitudinal coordinates) associated with the content payload of the message. Multiple message geolocation parameter  416  values may be included in the payload, each of these parameter values being associated with respect to content items included in the content (e.g., a specific image into within the message image payload  406 , or a specific video in the message video payload  408 ).   message story identifier  418 : identifier values identifying one or more content collections (e.g., “stories” identified in the story table  314 ) with which a particular content item in the message image payload  406  of the message  400  is associated. For example, multiple images within the message image payload  406  may each be associated with multiple content collections using identifier values.   message tag  420 : each message  400  may be tagged with multiple tags, each of which is indicative of the subject matter of content included in the message payload. For example, where a particular image included in the message image payload  406  depicts an animal (e.g., a lion), a tag value may be included within the message tag  420  that is indicative of the relevant animal. Tag values may be generated manually, based on user input, or may be automatically generated using, for example, image recognition.   message sender identifier  422 : an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of the Client device  102  on which the message  400  was generated and from which the message  400  was sent.   message receiver identifier  424 : an identifier (e.g., a messaging system identifier, email address, or device identifier) indicative of a user of the client device  102  to which the message  400  is addressed.       

     The contents (e.g., values) of the various components of message  400  may be pointers to locations in tables within which content data values are stored. For example, an image value in the message image payload  406  may be a pointer to (or address of) a location within an image table  312 . Similarly, values within the message video payload  408  may point to data stored within a video table  304 , values stored within the message augmentations  412  may point to data stored in an augmentation table  310 , values stored within the message story identifier  418  may point to data stored in a story table  314 , and values stored within the message sender identifier  422  and the message receiver identifier  424  may point to user records stored within an entity table  306 . 
     Time-Based Access Limitation Architecture 
       FIG.  5    is a schematic diagram illustrating an access-limiting process  500 , in terms of which access to content (e.g., an ephemeral message  502 , and associated multimedia payload of data) or a content collection (e.g., an ephemeral message group  504 ) may be time-limited (e.g., made ephemeral). 
     An ephemeral message  502  is shown to be associated with a message duration parameter  506 , the value of which determines an amount of time that the ephemeral message  502  will be displayed to a receiving user of the ephemeral message  502  by the messaging client  104 . In one example, an ephemeral message  502  is viewable by a receiving user for up to a maximum of 10 seconds, depending on the amount of time that the sending user specifies using the message duration parameter  506 . 
     The message duration parameter  506  and the message receiver identifier  424  are shown to be inputs to a message timer  510 , which is responsible for determining the amount of time that the ephemeral message  502  is shown to a particular receiving user identified by the message receiver identifier  424 . In particular, the ephemeral message  502  will only be shown to the relevant receiving user for a time period determined by the value of the message duration parameter  506 . The message timer  510  is shown to provide output to a more generalized ephemeral timer system  202 , which is responsible for the overall timing of display of content (e.g., an ephemeral message  502 ) to a receiving user. 
     The ephemeral message  502  is shown in  FIG.  5    to be included within an ephemeral message group  504  (e.g., a collection of messages in a personal story, or an event story). The ephemeral message group  504  has an associated group duration parameter  508 , a value of which determines a time duration for which the ephemeral message group  504  is presented and accessible to users of the messaging system  100 . The group duration parameter  508 , for example, may be the duration of a music concert, where the ephemeral message group  504  is a collection of content pertaining to that concert. Alternatively, a user (either the owning user or a curator user) may specify the value for the group duration parameter  508  when performing the setup and creation of the ephemeral message group  504 . 
     Additionally, each ephemeral message  502  within the ephemeral message group  504  has an associated group participation parameter  512 , a value of which determines the duration of time for which the ephemeral message  502  will be accessible within the context of the ephemeral message group  504 . Accordingly, a particular ephemeral message group  504  may “expire” and become inaccessible within the context of the ephemeral message group  504 , prior to the ephemeral message group  504  itself expiring in terms of the group duration parameter  508 . The group duration parameter  508 , group participation parameter  512 , and message receiver identifier  424  each provide input to a group timer  514 , which operationally determines, firstly, whether a particular ephemeral message  502  of the ephemeral message group  504  will be displayed to a particular receiving user and, if so, for how long. Note that the ephemeral message group  504  is also aware of the identity of the particular receiving user as a result of the message receiver identifier  424 . 
     Accordingly, the group timer  514  operationally controls the overall lifespan of an associated ephemeral message group  504 , as well as an individual ephemeral message  502  included in the ephemeral message group  504 . In one example, each and every ephemeral message  502  within the ephemeral message group  504  remains viewable and accessible for a time period specified by the group duration parameter  508 . In a further example, a certain ephemeral message  502  may expire, within the context of ephemeral message group  504 , based on a group participation parameter  512 . Note that a message duration parameter  506  may still determine the duration of time for which a particular ephemeral message  502  is displayed to a receiving user, even within the context of the ephemeral message group  504 . Accordingly, the message duration parameter  506  determines the duration of time that a particular ephemeral message  502  is displayed to a receiving user, regardless of whether the receiving user is viewing that ephemeral message  502  inside or outside the context of an ephemeral message group  504 . 
     The ephemeral timer system  202  may furthermore operationally remove a particular ephemeral message  502  from the ephemeral message group  504  based on a determination that it has exceeded an associated group participation parameter  512 . For example, when a sending user has established a group participation parameter  512  of 24 hours from posting, the ephemeral timer system  202  will remove the relevant ephemeral message  502  from the ephemeral message group  504  after the specified 24 hours. The ephemeral timer system  202  also operates to remove an ephemeral message group  504  when either the group participation parameter  512  for each and every ephemeral message  502  within the ephemeral message group  504  has expired, or when the ephemeral message group  504  itself has expired in terms of the group duration parameter  508 . 
     In certain use cases, a creator of a particular ephemeral message group  504  may specify an indefinite group duration parameter  508 . In this case, the expiration of the group participation parameter  512  for the last remaining ephemeral message  502  within the ephemeral message group  504  will determine when the ephemeral message group  504  itself expires. In this case, a new ephemeral message  502 , added to the ephemeral message group  504 , with a new group participation parameter  512 , effectively extends the life of an ephemeral message group  504  to equal the value of the group participation parameter  512 . 
     Responsive to the ephemeral timer system  202  determining that an ephemeral message group  504  has expired (e.g., is no longer accessible), the ephemeral timer system  202  communicates with the messaging system  100  (and, for example, specifically the messaging client  104 ) to cause an indicium (e.g., an icon) associated with the relevant ephemeral message group  504  to no longer be displayed within a user interface of the messaging client  104 . Similarly, when the ephemeral timer system  202  determines that the message duration parameter  506  for a particular ephemeral message  502  has expired, the ephemeral timer system  202  causes the messaging client  104  to no longer display an indicium (e.g., an icon or textual identification) associated with the ephemeral message  502 . 
     Location-Based Media Content Collection System 
       FIG.  6    illustrates a flowchart of a process for generating a location-based media content collection in accordance with some examples. While certain operations of the method  600  are described as being performed by certain devices, in different examples, different devices or a combination of devices may perform these operations. For example, operations described below as being performed by the client device  102  may also be performed by or in combination with server-side computing device (e.g., the messaging server system  108 ), or third-party server computing device. 
     The method commences with operation  602 , during which the client device  102  receives a set of media content items that include a media content item having a geohash. In one example, the media content items are captured by the client device  102  and retrieved from memory of the client device  102 . The media content item includes an ephemeral (e.g., as a limited accessibility time window) or non-ephemeral video, photo, audio file, image, augmented reality (AR) image transformation, augmented reality content item, AR media content item, or three-dimensional object. The geohash represents longitude and latitude coordinates of a geographic location on a map (e.g., map interface) associated with a captured time and captured location data of the media content item. The captured time represents a time at which the media content was captured and stored by a computing device, such as, client device  102 . In one example, the time corresponds to the date, year, month, hour, minute, or second in which the media content item was captured or stored by the computing device. 
     In operation  604 , client device  102  identifies a first subset of media content items from the plurality of media content items that each include a geohash that exceed or equal a precision level threshold. In one example, a geohash associated with a In another example, in order to identify the first subset of media content items that each include a geohash that falls within a precision level threshold (e.g., a date range in days, weeks, months, or years in which the media content items were captured and stored on the user&#39;s computing device.), the client device  102  analyzes and compares the captured time and captured location associated with each geohash against the precision level threshold and determines the media content items that contain the a captured time and captured location that fall within a predetermined time. If there is a match (e.g., geohashes fall within the precision level threshold) the media content items are grouped or associated with each other and determined to correspond to a domicile geolocation. 
     In operation  606 , client device  102  identifies a second subset of media content items from the plurality of media content items that includes a geohash that is below the precision level threshold. For example, in order to identify the second subset of media content items that include a geohash that is below the precision threshold, the client device  102  analyzes and compares the captured time and captured location associated with each geohash against the precision level threshold and determines whether the captured time and captured location associated with a geohash exceeds or falls below the precision level threshold. If the captured time and captured location for a media content item exceeds precision level threshold or the captured time and location of a media content item falls below the precision level threshold, the client device  102  groups each media content item into a second subset of media content items and associates the second subset of media content items with a trip geolocation displayed on a map interface from the map system  210 . The second subset of media content items can be associated with a trip geolocation displayed on the map interface based on the geohash being less than the precision level threshold. The trip geolocation represents a radius of another geolocation that is different than the first radius of an area on the map interface. For instance, the trip geolocation represents a temporary geolocation or destination associated with the client device  102 , such as a vacationing location versus a home location associated with the first radius of an area. 
     For example, the precision level threshold represents the captured time and captured location of media content items that were captured and stored across a predetermined amount of separate days, such as May 10, 2003 through Aug. 10, 2003 in Columbia, S.C. The client device  102  analyzes and compares each media content item&#39;s geohash against the precision level threshold “May 10, 2003 through Aug. 10, 2003 in Columbia, S.C.” to determine which media content items were captured after the capture time period of the precision level threshold (e.g., exceed) during the capture time of the precision level threshold (e.g., match/equaling), or before the capture time of the precision level threshold (e.g., falls below) and have a capture location in Columbia, S.C. The media content items that are determined to contain a geohash that equal the captured time and captured location of the precision level threshold) are grouped as a first subset of media content items. The media content items that are determined to contain a geohash that either exceeds or falls below the captured time and captured location of May 10, 2003-Aug. 10, 2003 of the precision level threshold are grouped as a second subset of media content items. In one example, the media content items that are determined to contain a geohash associated with the prior home location of the user is compared against all captured media content associated with the user. If a distance (e.g., longitude and latitude) between each captured geohash associated with the prior home location is greater than the precision level threshold, the associated media content identified is considered to be a vacation destination or a “trip”. 
     In one example, the precision level threshold includes a range, a value, or set of values that define longitude and latitude coordinates for a geolocation where media content items were captured and stored based on a predetermined time period and a predetermined geolocation associated with the user of the client device  102 . The predetermined time period can include a day or multiple-day range, a week range, a month range, or a year range. The predetermined geolocation represents a waypoint, region of interest, point of interest, distance, radius, or proximity displayed on a map interface associated with the client device  102 , third party computing device, or third-party server system, In another example, the captured time data includes month information, date information, year information, or time information representing when the media content item was captured and stored by a computing device, and the captured location includes any type of geolocation information that is rendered on a map interface representing where the media content item was captured by a computing device or client device  102 . 
     In operation  608 , client device  102  determines that the first subset of media content items is associated with a domicile geolocation displayed on the map interface based on the geohash exceeding (in some examples, equaling) the precision level threshold. The domicile geolocation defines a first radius of a first area on the map interface. In one example, the domicile geolocation represents a prior or present home location associated with the user of the client device  102 . In one example, the home location is a geolocation that the user considers or previously considered his or her permanent residence during a predetermined time period. The domicile geolocation is displayed and rendered on a map interface, such as the map interface determined by the map system  210 . The first radius represents an area, region, space, or geolocation on the map interface in which the domicile geolocation is, or has been, established. 
     In operation  610 , client device  102  generates a timeline media content item collection comprising the second subset of media content items including a geohash that is outside, beside, adjacent to or within a distance function of the domicile geolocation. For example, the distance function represents distance ratio variables, such as mile-by-mile, meter-by-meter, or the like immediately besides, adjacent to, or within the geohash. The client device  102  determines those media content items of the second subset of media content items that have a captured location in the geohash that is outside of the domicile geolocation. For instance, when the geohash includes longitude and latitude geolocation information that is outside of a designated radius of the domicile geolocation. 
     In operation  612 , the client device  102  causes display of a media content collection interface. The media content collection interface includes the media content items of the timeline media content item collection. In one example, the timeline media content item collection is presented in a gallery style format and be arranged in a polygonal array, circular array, or interactive media content item arrangement. 
       FIG.  7    illustrates an example user interface  700  of a location-based timeline content collection in accordance with one embodiment. The user interface  700 , is displayed on a mobile computing device, such as client device  102 , and depicts a display timeline media content item collection interface  702  comprising a timeline media content item collection as described above in operation  612 . The timeline media content item collection interface  702  is generated at the mobile computing device and includes a map interface  704 , an avatar depicting a trip geolocation  708 , an avatar depicting a domicile geolocation  710 , and a timeline media content item collection, such as comprising second subset of media content items  706 , as described above. The map interface  704  represents geolocation and geographic location functions, and supports the presentation of map-based media content items and messages by the messaging client  104 . 
     In one example, the map interface  704  displays an avatar or media overlay representing user associated with the user profile of client device  102 . For example, the map system  210  enables the display of user icons or avatars (e.g., stored in profile data  316 ) on a map to indicate a present or prior home geolocation, domicile geolocation, or trip geolocation  708  in which media content items were captured and stored by client device  102 . In another example, the map interface  704  displays past location of “friends” of a user, as well as media content items (e.g., collections of messages including photographs and videos) generated by such friends, within the context of a map. A user can furthermore share his or her location and status information (e.g., using an appropriate status avatar) with other users of the messaging system  100  via the messaging client  104 , with this location and status information being similarly displayed within the context of a map interface of the messaging client  104  to selected users. 
     In another example, the second subset of media content items  706  represent photos, videos, and images that were captured and stored while the user of the client device  102  was located within the trip geolocation  708 . As shown in  FIG.  7   , the domicile geolocation  710  is known and utilized in order to determine media content items that exceed or fall below the precision level threshold, as explained above. In one example, the domicile geolocation  710  is the present home location of the user associated with the user profile of the client device  102 . In the example in  FIG.  7   , the precision level threshold  712  comprises a period of time representing Apr. 26-May 2, 2020 and a location representing the trip to Barcelona. 
       FIG.  8    illustrates an example user interface  700  including an extended portion of the location-based timeline content collection shown in  FIG.  7   , in accordance with one embodiment. The user interface  800 , is displayed on a mobile computing device, such as client device  102 , and depicts the timeline media content item collection interface  702 . The timeline media content item collection interface  702  includes a thumbnail  804  representing the second media content items  706  displayed in  FIG.  7   . The timeline media content item collection interface  702  in  FIG.  8    also illustrates the precision level threshold  712  which represents the period of time representing Apr. 26-May 2, 2020 in Barcelona. 
     In another example, the first subset of media content items  802  represent photos, videos, and images that were captured and stored while the user of the client device  102  was located within a domicile geolocation  710  as shown in  FIG.  7   . The domicile geolocation  710  is known and utilized in order to determine media content items that exceed or fall below the precision level threshold. In one example, the domicile geolocation (e.g., present home location)  710  is the present home location of the user associated with the user profile of the client device  102 . 
     Machine Architecture 
       FIG.  9    is a diagrammatic representation of the machine  900  within which instructions  910  (e.g., software, a program, an application, an applet, an app, or other executable code) for causing the machine  900  to perform any one or more of the methodologies discussed herein may be executed. For example, the instructions  910  may cause the machine  900  to execute any one or more of the methods described herein. The instructions  910  transform the general, non-programmed machine  900  into a particular machine  900  programmed to carry out the described and illustrated functions in the manner described. The machine  900  may operate as a standalone device or may be coupled (e.g., networked) to other machines. In a networked deployment, the machine  900  may operate in the capacity of a server machine or a client machine in a server-client network environment, or as a peer machine in a peer-to-peer (or distributed) network environment. The machine  900  may comprise, but not be limited to, a server computer, a client computer, a personal computer (PC), a tablet computer, a laptop computer, a netbook, a set-top box (STB), a personal digital assistant (PDA), an entertainment media system, a cellular telephone, a smartphone, a mobile device, a wearable device (e.g., a smartwatch), a smart home device (e.g., a smart appliance), other smart devices, a web appliance, a network router, a network switch, a network bridge, or any machine capable of executing the instructions  910 , sequentially or otherwise, that specify actions to be taken by the machine  900 . Further, while only a single machine  900  is illustrated, the term “machine” shall also be taken to include a collection of machines that individually or jointly execute the instructions  910  to perform any one or more of the methodologies discussed herein. The machine  900 , for example, may comprise the client device  102  or any one of a number of server devices forming part of the messaging server system  108 . In some examples, the machine  900  may also comprise both client and server systems, with certain operations of a particular method or algorithm being performed on the server-side and with certain operations of the particular method or algorithm being performed on the client-side. 
     The machine  900  may include processors  904 , memory  906 , and input/output I/O components  902 , which may be configured to communicate with each other via a bus  940 . In an example, the processors  904  (e.g., a Central Processing Unit (CPU), a Reduced Instruction Set Computing (RISC) Processor, a Complex Instruction Set Computing (CISC) Processor, a Graphics Processing Unit (GPU), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), a Radio-Frequency Integrated Circuit (RFIC), another processor, or any suitable combination thereof) may include, for example, a processor  908  and a processor  912  that execute the instructions  910 . The term “processor” is intended to include multi-core processors that may comprise two or more independent processors (sometimes referred to as “cores”) that may execute instructions contemporaneously. Although  FIG.  9    shows multiple processors  904 , the machine  900  may include a single processor with a single-core, a single processor with multiple cores (e.g., a multi-core processor), multiple processors with a single core, multiple processors with multiples cores, or any combination thereof. 
     The memory  906  includes a main memory  914 , a static memory  916 , and a storage unit  918 , both accessible to the processors  904  via the bus  940 . The main memory  906 , the static memory  916 , and storage unit  918  store the instructions  910  embodying any one or more of the methodologies or functions described herein. The instructions  910  may also reside, completely or partially, within the main memory  914 , within the static memory  916 , within machine-readable medium  920  within the storage unit  918 , within at least one of the processors  904  (e.g., within the Processor&#39;s cache memory), or any suitable combination thereof, during execution thereof by the machine  900 . 
     The I/O components  902  may include a wide variety of components to receive input, provide output, produce output, transmit information, exchange information, capture measurements, and so on. The specific I/O components  902  that are included in a particular machine will depend on the type of machine. For example, portable machines such as mobile phones may include a touch input device or other such input mechanisms, while a headless server machine will likely not include such a touch input device. It will be appreciated that I/O components  902  may include many other components that are not shown in  FIG.  9   . In various examples, the I/O components  902  may include user output components  926  and user input components  928 . The user output components  926  may include visual components (e.g., a display such as a plasma display panel (PDP), a light-emitting diode (LED) display, a liquid crystal display (LCD), a projector, or a cathode ray tube (CRT)), acoustic components (e.g., speakers), haptic components (e.g., a vibratory motor, resistance mechanisms), other signal generators, and so forth. The user input components  928  may include alphanumeric input components (e.g., a keyboard, a touch screen configured to receive alphanumeric input, a photo-optical keyboard, or other alphanumeric input components), point-based input components (e.g., a mouse, a touchpad, a trackball, a joystick, a motion sensor, or another pointing instrument), tactile input components (e.g., a physical button, a touch screen that provides location and force of touches or touch gestures, or other tactile input components), audio input components (e.g., a microphone), and the like. 
     In further examples, the I/O components  902  may include biometric components  930 , motion components  932 , environmental components  934 , or position components  936 , among a wide array of other components. For example, the biometric components  930  include components to detect expressions (e.g., hand expressions, facial expressions, vocal expressions, body gestures, or eye-tracking), measure biosignals (e.g., blood pressure, heart rate, body temperature, perspiration, or brain waves), identify a person (e.g., voice identification, retinal identification, facial identification, fingerprint identification, or electroencephalogram-based identification), and the like. The motion components  932  include acceleration sensor components (e.g., accelerometer), gravitation sensor components, rotation sensor components (e.g., gyroscope). 
     The environmental components  934  include, for example, one or cameras (with still image/photograph and video capabilities), illumination sensor components (e.g., photometer), temperature sensor components (e.g., one or more thermometers that detect ambient temperature), humidity sensor components, pressure sensor components (e.g., barometer), acoustic sensor components (e.g., one or more microphones that detect background noise), proximity sensor components (e.g., infrared sensors that detect nearby objects), gas sensors (e.g., gas detection sensors to detection concentrations of hazardous gases for safety or to measure pollutants in the atmosphere), or other components that may provide indications, measurements, or signals corresponding to a surrounding physical environment. 
     With respect to cameras, the client device  102  may have a camera system comprising, for example, front cameras on a front surface of the client device  102  and rear cameras on a rear surface of the client device  102 . The front cameras may, for example, be used to capture still images and video of a user of the client device  102  (e.g., “selfies”), which may then be augmented with augmentation data (e.g., filters) described above. The rear cameras may, for example, be used to capture still images and videos in a more traditional camera mode, with these images similarly being augmented with augmentation data. In addition to front and rear cameras, the client device  102  may also include a 360° camera for capturing 360° photographs and videos. 
     Further, the camera system of a client device  102  may include dual rear cameras (e.g., a primary camera as well as a depth-sensing camera), or even triple, quad or penta rear camera configurations on the front and rear sides of the client device  102 . These multiple cameras systems may include a wide camera, an ultra-wide camera, a telephoto camera, a macro camera and a depth sensor, for example. 
     The position components  936  include location sensor components a GPS receiver component), altitude sensor components (e.g., altimeters or barometers that detect air pressure from which altitude may be derived), orientation sensor components (e.g., magnetometers), and the like. 
     Communication may be implemented using a wide variety of technologies. The I/O components  902  further include communication components  938  operable to couple the machine  900  to a network  922  or devices  924  via respective coupling or connections. For example, the communication components  938  may include a network interface Component or another suitable device to interface with the network  922 . In further examples, the communication components  938  may include wired communication components, wireless communication components, cellular communication components, Near Field Communication (NFC) components, Bluetooth® components (e.g., Bluetooth® Low Energy), Wi-Fi® components, and other communication components to provide communication via other modalities. The devices  924  may be another machine or any of a wide variety of peripheral devices (e.g., a peripheral device coupled via a USB). 
     Moreover, the communication components  938  may detect identifiers or include components operable to detect identifiers. For example, the communication components  938  may include Radio Frequency Identification (RFID) tag reader components, NFC smart tag detection components, optical reader components (e.g., an optical sensor to detect one-dimensional bar codes such as Universal Product Code (UPC) bar code, multi-dimensional bar codes such as Quick Response (QR) code, Aztec code, Data Matrix, Dataglyph, MaxiCode, PDF417, Ultra Code, UCC RSS-2D bar code, and other optical codes), or acoustic detection components (e.g., microphones to identify tagged audio signals). In addition, a variety of information may be derived via the communication components  938 , such as location via Internet Protocol (IP) geolocation, location via Wi-Fi® signal triangulation, location via detecting an NFC beacon signal that may indicate a particular location, and so forth. 
     The various memories (e.g., main memory  914 , static memory  916 , and memory of the processors  904 ) and storage unit  918  may store one or more sets of instructions and data structures (e.g., software) embodying or used by any one or more of the methodologies or functions described herein. These instructions (e.g., the instructions  910 ), when executed by processors  904 , cause various operations to implement the disclosed examples. 
     The instructions  910  may be transmitted or received over the network  922 , using a transmission medium, via a network interface device (e.g., a network interface component included in the communication components  938 ) and using any one of several well-known transfer protocols (e.g., hypertext transfer protocol (HTTP)). Similarly, the instructions  910  may be transmitted or received using a transmission medium via a coupling (e.g., a peer-to-peer coupling) to the devices  924 . 
     Software Architecture 
       FIG.  10    is a block diagram  1000  illustrating a software architecture  1004 , which can be installed on any one or more of the devices described herein. The software architecture  1004  is supported by hardware such as a machine  1002  that includes processors  1020 , memory  1026 , and I/O components  1038 . In this example, the software architecture  1004  can be conceptualized as a stack of layers, where each layer provides a particular functionality. The software architecture  1004  includes layers such as an operating system  1012 , libraries  1010 , frameworks  1008 , and applications  1006 . Operationally, the applications  1006  invoke API calls  1050  through the software stack and receive messages  1052  in response to the API calls  1050 . 
     The operating system  1012  manages hardware resources and provides common services. The operating system  1012  includes, for example, a kernel  1014 , services  1016 , and drivers  1022 . The kernel  1014  acts as an abstraction layer between the hardware and the other software layers. For example, the kernel  1014  provides memory management, processor management (e.g., scheduling), component management, networking, and security settings, among other functionality. The services  1016  can provide other common services for the other software layers. The drivers  1022  are responsible for controlling or interfacing with the underlying hardware. For instance, the drivers  1022  can include display drivers, camera drivers, BLUETOOTH® or BLUETOOTH® Low Energy drivers, flash memory drivers, serial communication drivers (e.g., USB drivers), WI-FI® drivers, audio drivers, power management drivers, and so forth. 
     The libraries  1010  provide a common low-level infrastructure used by the applications  1006 . The libraries  1010  can include system libraries  1018  (e.g., C standard library) that provide functions such as memory allocation functions, string manipulation functions, mathematic functions, and the like. In addition, the libraries  1010  can include API libraries  1024  such as media libraries (e.g., libraries to support presentation and manipulation of various media formats such as Moving Picture Experts Group-4 (MPEG4), Advanced Video Coding (H.264 or AVC), Moving Picture Experts Group Layer-3 (MP3), Advanced Audio Coding (AAC), Adaptive Multi-Rate (AMR) audio codec, Joint Photographic Experts Group (JPEG or JPG), or Portable Network Graphics (PNG)), graphics libraries (e.g., an OpenGL framework used to render in two dimensions (2D) and three dimensions (3D) in a graphic content on a display), database libraries (e.g., SQLite to provide various relational database functions), web libraries (e.g., WebKit to provide web browsing functionality), and the like. The libraries  1010  can also include a wide variety of other libraries  1028  to provide many other APIs to the applications  1006 . 
     The frameworks  1008  provide a common high-level infrastructure that is used by the applications  1006 . For example, the frameworks  1008  provide various graphical user interface (GUI) functions, high-level resource management, and high-level location services. The frameworks  1008  can provide a broad spectrum of other APIs that can be used by the applications  1006 , some of which may be specific to a particular operating system or platform. 
     In an example, the applications  1006  may include a home application  1036 , a contacts application  1030 , a browser application  1032 , a book reader application  1034 , a location application  1042 , a media application  1044 , a messaging application  1046 , a game application  1048 , and a broad assortment of other applications such as a third-party application  1040 . The applications  1006  are programs that execute functions defined in the programs. Various programming languages can be employed to create one or more of the applications  1006 , structured in a variety of manners, such as object-oriented programming languages (e.g., Objective-C, Java, or C++) or procedural programming languages (e.g., C or assembly language). In a specific example, the third-party application  1040  (e.g., an application developed using the ANDROID™ or IOS™ software development kit (SDK) by an entity other than the vendor of the particular platform) may be mobile software running on a mobile operating system such as IOS™, ANDROID™, WINDOWS® Phone, or another mobile operating system. In this example, the third-party application  1040  can invoke the API calls  1050  provided by the operating system  1012  to facilitate functionality described herein. 
     Processing Components 
     Turning now to  FIG.  11   , there is shown a diagrammatic representation of a processing environment  1100 , which includes a processor  1102 , a processor  1106 , and a processor  1108  (e.g., a GPI), CPU or combination thereof). 
     The processor  1102  is shown to be coupled to a power source  1104 , and to include (either permanently configured or temporarily instantiated) modules, namely a location-based timeline  1110 . The location-based timeline  1110  operationally receives a plurality of media content items that include a media content item having a geohash, the geohash defining a longitude and latitude geographic location on a map interface associated with a captured time and a captured location of the media content item; identifies a first subset of media content items from the plurality of media content items comprising a geohash that equals a precision level threshold; identifies a second subset of media content items from the plurality of media content items that comprises a geohash that exceeds the precisions level threshold, identifies that the first subset of media content items is associated with a domicile geolocation on the map interface based on the geohash equaling the precision level threshold, the domicile geolocation defining a first radius of a first area on the map interface, generates a timeline media content item collection comprising the second subset of media content items comprising the geohash that exceeds the precisions level threshold; and causes display of a media content collection interface, the media content collection interface comprising the timeline media content item collection. As illustrated, the processor  1102  is communicatively coupled to both the processor  1106  and the processor  1108 . 
     Glossary 
     “Carrier signal” refers to any intangible medium that is capable of storing, encoding, or carrying instructions for execution by the machine, and includes digital or analog communications signals or other intangible media to facilitate communication of such instructions. Instructions may be transmitted or received over a network using a transmission medium via a network interface device. 
     “Client device” refers to any machine that interfaces to a communications network to obtain resources from one or more server systems or other client devices. A client device may be, but is not limited to, a mobile phone, desktop computer, laptop, portable digital assistants (PDAs), smartphones, tablets, ultrabooks, netbooks, laptops, multi-processor systems, microprocessor-based or programmable consumer electronics, game consoles, set-top boxes, or any other communication device that a user may use to access a network. 
     “Communication network” refers to one or more portions of a network that may be an ad hoc network, an intranet, an extranet, a virtual private network (VPN), a local area network (LAN), a wireless LAN (WLAN), a wide area network (WAN), a wireless WAN (WWAN), a metropolitan area network (MAN), the Internet, a portion of the Internet, a portion of the Public Switched Telephone Network (PSTN), a plain old telephone service (POTS) network, a cellular telephone network, a wireless network, a Wi-Fi® network, another type of network, or a combination of two or more such networks. For example, a network or a portion of a network may include a wireless or cellular network and the coupling may be a Code Division Multiple Access (CDMA) connection, a Global System for Mobile communications (GSM) connection, or other types of cellular or wireless coupling. In this example, the coupling may implement any of a variety of types of data transfer technology, such as Single Carrier Radio Transmission Technology (1×RTT), Evolution-Data Optimized (EVDO) technology, General Packet Radio Service (CPRS) technology, Enhanced Data rates for GSM Evolution (EDGE) technology, third Generation Partnership Project (3GPP) including 3G, fourth generation wireless (4G) networks, Universal Mobile Telecommunications System (UMTS), High Speed Packet Access (HSPA), Worldwide Interoperability for Microwave Access (WiMAX), Long Term Evolution (LTE) standard, others defined by various standard-setting organizations, other long-range protocols, or other data transfer technology. 
     “Component” refers to a device, physical entity, or logic having boundaries defined by function or subroutine calls, branch points, APIs, or other technologies that provide for the partitioning or modularization of particular processing or control functions. Components may be combined via their interfaces with other components to carry out a machine process. A component may be a packaged functional hardware unit designed for use with other components and a part of a program that usually performs a particular function of related functions. Components may constitute either software components (e.g., code embodied on a machine-readable medium) or hardware components. A “hardware component” is a tangible unit capable of performing certain operations and may be configured or arranged in a certain physical manner. In various examples, one or more computer systems (e.g., a standalone computer system, a client computer system, or a server computer system) or one or more hardware components of a computer system (e.g., a processor or a group of processors) may be configured by software (e.g., an application or application portion) as a hardware component that operates to perform certain operations as described herein. A hardware component may also be implemented mechanically, electronically, or any suitable combination thereof. For example, a hardware component may include dedicated circuitry or logic that is permanently configured to perform certain operations. A hardware component may be a special-purpose processor, such as a field-programmable gate array (FPGA) or an application specific integrated circuit (ASIC). A hardware component may also include programmable logic or circuitry that is temporarily configured by software to perform certain operations. For example, a hardware component may include software executed by a general-purpose processor or other programmable processor. Once configured by such software, hardware components become specific machines (or specific components of a machine) uniquely tailored to perform the configured functions and are no longer general-purpose processors. It will be appreciated that the decision to implement a hardware component mechanically, in dedicated and permanently configured circuitry, or in temporarily configured circuitry (e.g., configured by software), may be driven by cost and time considerations. Accordingly, the phrase “hardware component” (or “hardware-implemented component”) should be understood to encompass a tangible entity, be that an entity that is physically constructed, permanently configured (e.g., hardwired), or temporarily configured (e.g., programmed) to operate in a certain manner or to perform certain operations described herein. Considering examples in which hardware components are temporarily configured (e.g., programmed), each of the hardware components need not be configured or instantiated at any one instance in time. For example, where a hardware component comprises a general-purpose processor configured by software to become a special-purpose processor, the general-purpose processor may be configured as respectively different special-purpose processors (e.g., comprising different hardware components) at different times. Software accordingly configures a particular processor or processors, for example, to constitute a particular hardware component at one instance of time and to constitute a different hardware component at a different instance of time. Hardware components can provide information to, and receive information from, other hardware components. Accordingly, the described hardware components may be regarded as being communicatively coupled. Where multiple hardware components exist contemporaneously, communications may be achieved through signal transmission (e.g., over appropriate circuits and buses) between or among two or more of the hardware components. In examples in which multiple hardware components are configured or instantiated at different times, communications between such hardware components may be achieved, for example, through the storage and retrieval of information in memory structures to which the multiple hardware components have access. For example, one hardware component may perform an operation and store the output of that operation in a memory device to which it is communicatively coupled. A further hardware component may then, at a later time, access the memory device to retrieve and process the stored output. Hardware components may also initiate communications with input or output devices, and can operate on a resource (e.g., a collection of information). The various operations of example methods described herein may be performed, at least partially, by one or more processors that are temporarily configured (e.g., by software) or permanently configured to perform the relevant operations. Whether temporarily or permanently configured, such processors may constitute processor-implemented components that operate to perform one or more operations or functions described herein. As used herein, “processor-implemented component” refers to a hardware component implemented using one or more processors. Similarly, the methods described herein may be at least partially processor-implemented, with a particular processor or processors being an example of hardware. For example, at least some of the operations of a method may be performed by one or more processors  1004  or processor-implemented components. Moreover, the one or more processors may also operate to support performance of the relevant operations in a “cloud computing” environment or as a “software as a service” (SaaS). For example, at least some of the operations may be performed by a group of computers (as examples of machines including processors), with these operations being accessible via a network (e.g., the Internet) and via one or more appropriate interfaces (e.g., an API). The performance of certain of the operations may be distributed among the processors, not only residing within a single machine, but deployed across a number of machines. In some examples, the processors or processor-implemented components may be located in a single geographic location (e.g., within a home environment, an office environment, or a server farm). In other examples, the processors or processor-implemented components may be distributed across a number of geographic locations. 
     “Computer-readable storage medium” refers to both machine-storage media and transmission media. Thus, the terms include both storage devices/media and carrier waves/modulated data signals. The terms “machine-readable medium,” “computer-readable medium” and “device-readable medium” mean the same thing and may be used interchangeably in this disclosure. 
     “Ephemeral message” refers to a message that is accessible for a time-limited duration. An ephemeral message may be a text, an image, a video and the like. The access time for the ephemeral message may be set by the message sender. Alternatively, the access time may be a default setting or a setting specified by the recipient. Regardless of the setting technique, the message is transitory. 
     “Machine storage medium” refers to a single or multiple storage devices and media (e.g., a centralized or distributed database, and associated caches and servers) that store executable instructions, routines and data. The term shall accordingly be taken to include, but not be limited to, solid-state memories, and optical and magnetic media, including memory internal or external to processors. Specific examples of machine-storage media, computer-storage media and device-storage media include non-volatile memory, including by way of example semiconductor memory devices, e.g., erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), FPGA, and flash memory devices; magnetic disks such as internal hard disks and removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks The terms “machine-storage medium,” “device-storage medium,” “computer-storage medium” mean the same thing and may be used interchangeably in this disclosure. The terms “machine-storage media,” “computer-storage media,” and “device-storage media” specifically exclude carrier waves, modulated data signals, and other such media, at least some of which are covered under the term “signal medium.” 
     “Non-transitory computer-readable storage medium” refers to a tangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine. 
     “Signal medium” refers to any intangible medium that is capable of storing, encoding, or carrying the instructions for execution by a machine and includes digital or analog communications signals or other intangible media to facilitate communication of software or data. The term “signal medium” shall be taken to include any form of a modulated data signal, carrier wave, and so forth. The term “modulated data signal” means a signal that has one or more of its characteristics set or changed in such a matter as to encode information in the signal. The terms “transmission medium” and “signal medium” mean the same thing and may be used interchangeably in this disclosure.