Patent Publication Number: US-11640169-B2

Title: Systems and methods for determining preferences for control settings of unmanned aerial vehicles

Description:
CROSS-REFERENCE TO RELATED APPLICATION(S) 
     This application is a continuation of U.S. patent application Ser. No. 15/830,849, filed Dec. 4, 2017, which is a continuation of U.S. patent application Ser. No. 15/600,158, filed on May 19, 2017, now U.S. Pat. No. 9,836,054, which is a continuation of U.S. patent application Ser. No. 15/045,171, filed on Feb. 16, 2016, now U.S. Pat. No. 9,665,098, the entire disclosures of which are hereby incorporated by reference. 
    
    
     TECHNICAL FIELD 
     The disclosure relates to systems and methods for determining preferences for flight control settings of an unmanned aerial vehicle based upon content consumed by a user. 
     BACKGROUND 
     Unmanned aerial vehicles, or UAVs, may be equipped with automated flight control, remote flight control, programmable flight control, other types of flight control, and/or combinations thereof. Some UAVs may include sensors, including but not limited to, image sensors configured to capture image information. UAVs may be used to capture special moments, sporting events, concerts, etc. UAVs may be preconfigured with particular flight control settings. The preconfigured flight control settings may not be individualized for each user of the UAV. Configuration may take place through manual manipulation by the user. Adjustment of flight control settings may impact various aspects of images and/or videos captured by the image sensors of the UAV. 
     SUMMARY 
     The disclosure relates to determining preferences for flight control settings of an unmanned aerial vehicle based upon user consumption of previously captured content, in accordance with one or more implementations. Consumption information associated with a user consuming a first video segment and a second video segment may be obtained. The consumption information may define user engagement during a video segment and/or user response to the video segment. A first set of flight control settings associated with capture of the first video segment and a second set of flight control settings associated with capture of the second video segment may be obtained. Based upon a determination relative to user interest of the first video segment and the second video segment (e.g., the user may view the first video segment more frequently than the second video segment, the user may share portions of the first video segment more than portions of the second video segment, etc.), preferences for the flight control settings of the unmanned aerial vehicle may be determined based upon the first set of flight control settings and/or the second set of flight control settings. Instructions may be transmitted to the unmanned aerial vehicle including the determined preferences for the flight control settings. The instructions may be configured to cause the unmanned aerial vehicle to adjust the flight control settings to the determined preferences. 
     In some implementations, a system configured to determine preferences for flight control settings of an unmanned aerial vehicle based upon user consumption of previously captured content may include one or more servers. The server(s) may be configured to communicate with one or more client computing platforms according to a client/server architecture. The users of the system may access the system via client computing platform(s). The server(s) may be configured to execute one or more computer program components. The computer program components may include one or more of an authentication component, a consumption component, a flight control settings component, a preferences component, a transmission component, and/or other components. 
     The authentication component may be configured to authenticate a user associated with one or more client computing platforms accessing one or more images and/or video segments via the system. The authentication component may manage accounts associated with users and/or consumers of the system. The user accounts may include user information associated with users and/or consumers of the user accounts. User information may include information stored by the server(s), one or more client computing platforms, and/or other storage locations. 
     The consumption component may be configured to obtain consumption information associated with a user consuming a first video segment and a second video segment. The first video segment and the second video segment may be available for consumption within the repository of video segments available via the system and/or available on a third party platform, which may be accessible and/or available via the system. The consumption information may define user engagement during a video segment and/or user response to the video segment. User engagement during the video segment may include at least one of an amount of time the user consumed the video segment and a number of times the user consumes at least one portion of the video segment. The consumption component may track user engagement and/or viewing habits during the video segment and/or during at least one portion of the video segment. User response to the video segment may include one or more of commenting on the video segment, rating the video segment, up-voting (e.g., “liking”) the video segment, and/or sharing the video segment. Consumption information may be stored by the server(s), the client computing platforms, and/or other storage locations. The consumption component may be configured to determine a consumption score associated with the consumption information associated with the user consuming the video segment. The consumption score may quantify a degree of interest of the user consuming the video segment and/or the at least one portion of the video segment. 
     The flight control settings component may be configured to obtain a first set of flight control settings associated with capture of the first video segment consumed by the user and a second set of flight control settings associated with capture of the second video segment consumed by the user. Flight control settings of the unmanned aerial vehicle may define aspects of a flight control subsystem and/or a sensor control subsystem for the unmanned aerial vehicle. Flight control settings may include one or more of an altitude, a longitude, a latitude, a geographical location, a heading, a speed, and/or other flight control settings of the unmanned aerial vehicle. Flight control settings of the unmanned aerial vehicle may be based upon a position of the unmanned aerial vehicle. The position of the unmanned aerial vehicle may impact capture of an image and/or video segment. For example, an altitude in which the unmanned aerial vehicle is flying and/or hovering may impact the visual information captured by an image sensor (e.g., the visual information may be captured at different angles based upon the altitude of the unmanned aerial vehicle). A speed and/or direction in which the unmanned aerial vehicle is traveling may capture different visual information. 
     The sensor control subsystem may be configured to control one or more sensors through adjustments of an aperture timing, an exposure, a focal length, an angle of view, a depth of field, a focus, a light metering, a white balance, a resolution, a frame rate, an object of focus, a capture angle, a zoom parameter, a video format, a sound parameter, a compression parameter, and/or other sensor controls. The one or more sensors may include an image sensor and may be configured to generate an output signal conveying visual information (e.g., an image and/or video segment) within a field of view. The visual information may include video information, audio information, geolocation information, orientation and/or motion information, depth information, and/or other information. 
     The preferences component may be configured to determine the preferences for the flight control settings of the unmanned aerial vehicle based upon the first set of flight control settings and the second set of flight control settings. The preferences for the flight control settings may be associated with the user who consumed the first video segment and the second video segment. The preferences for the flight control settings may be determined based upon the consumption score associated with the first video segment and/or the consumption score associated with the second video segment. For example, the preferences for the flight control settings for the unmanned aerial vehicle may be determined based upon the obtained first set of flight control settings associated with the first video segment, such that the preferences for the flight control settings may be determined to be the same as the first set of flight control settings. The preferences for the flight control settings for the unmanned aerial vehicle may be determined based upon the obtained second set of flight control settings associated with the second video segment, such that the preferences for the flight control settings may be determined to be the same as the second set of flight control settings. The preferences for the flight control settings for the unmanned aerial vehicle may be a combination of the first set of flight control settings and the second set of flight control settings. The combination may be based upon commonalities between the first set of flight control settings and the second set of flight control settings, such that the preferences for the flight control settings for the unmanned aerial vehicle may be determined to be the common flight control settings between the first set of flight control settings and the second set of flight control settings. 
     The transmission component may be configured to effectuate transmission of instructions to the unmanned aerial vehicle. The instructions may include the determined preferences for the flight control settings. The instructions may be configured to cause the unmanned aerial vehicle to adjust the flight control settings of the unmanned aerial vehicle to the determined preferences. The instructions may be configured to cause the unmanned aerial vehicle to automatically adjust the flight control settings of the unmanned aerial vehicle to the determined preferences the next time the unmanned aerial vehicle is activated (e.g., turned on, in use, and/or capturing an image and/or video segment) or each time the unmanned aerial vehicle is activated. The unmanned aerial vehicle may adjust the flight control settings prior to and/or while capturing an image and/or video segment. The instructions may be configured to cause the unmanned aerial vehicle to automatically adjust the flight control settings of the unmanned aerial vehicle to the determined preferences based upon current contextual information associated with the unmanned aerial vehicle and current flight control settings of the unmanned aerial vehicle. Contextual information associated with capture of video segments may define one or more temporal attributes and/or spatial attributes associated with capture the video segments. Contextual information may include any information pertaining to an environment in which the video segment was captured. Contextual information may include visual and/or audio information based upon the environment in which the video segment was captured. Temporal attributes may define a time in which the video segment was captured (e.g., date, time, time of year, season, etc.). Spatial attributes may define the environment in which the video segment was captured (e.g., location, landscape, weather, surrounding activities, etc.). The one or more temporal attributes and/or spatial attributes may include one or more of a geolocation attribute, a time attribute, a date attribute, and/or a content attribute. 
     These and other objects, features, and characteristics of the system and/or method disclosed herein, as well as the methods of operation and functions of the related elements of structure and the combination of parts and economies of manufacture, will become more apparent upon consideration of the following description and the appended claims with reference to the accompanying drawings, all of which form a part of this specification, wherein like reference numerals designate corresponding parts in the various figures. It is to be expressly understood, however, that the drawings are for the purpose of illustration and description only and are not intended as a definition of the limits of the invention. As used in the specification and in the claims, the singular form of “a”, “an”, and “the” include plural referents unless the context clearly dictates otherwise. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
         FIG.  1    illustrates a system for determining preferences for flight control settings of an unmanned aerial vehicle, in accordance with one or more implementations. 
         FIG.  2    illustrates an exemplary timeline of a video segment, in accordance with one or more implementations. 
         FIG.  3    illustrates an unmanned aerial vehicle in accordance with one or more implementations. 
         FIG.  4    illustrates content depicted within a video segment, in accordance with one or more implementations. 
         FIG.  5    illustrates an exemplary flight path of an unmanned aerial vehicle, in accordance with one or more implementations. 
         FIG.  6    illustrates a method for determining preferences for flight control settings of an unmanned aerial vehicle, in accordance with one or more implementations. 
     
    
    
     DETAILED DESCRIPTION 
       FIG.  1    illustrates a system  100  for determining preferences for flight control settings of an unmanned aerial vehicle based upon user consumption of previously captured content, in accordance with one or more implementations. As is illustrated in  FIG.  1   , system  100  may include one or more servers  102 . Server(s)  102  may be configured to communicate with one or more client computing platforms  104  according to a client/server architecture. The users of system  100  may access system  100  via client computing platform(s)  104 . Server(s)  102  may be configured to execute one or more computer program components. The computer program components may include one or more of authentication component  106 , consumption component  108 , flight control settings component  110 , preferences component  112 , transmission component  114 , and/or other components. 
     A repository of images and/or video segments may be available via system  100 . The repository of images and/or video segments may be associated with different users. The video segments may include a compilation of videos, video segments, video clips, and/or still images. While the present disclosure may be directed to video and/or video segments captured by image sensors and/or image capturing devices associated with unmanned aerial vehicles (UAVs), one or more other implementations of system  100  and/or server(s)  102  may be configured for other types of media items. Other types of media items may include one or more of audio files (e.g., music, podcasts, audio books, and/or other audio files), multimedia presentations, photos, slideshows, and/or other media files. The video segments may be received from one or more storage locations associated with client computing platform(s)  104 , server(s)  102 , and/or other storage locations where video segments may be stored. Client computing platform(s)  104  may include one or more of a cellular telephone, a smartphone, a digital camera, a laptop, a tablet computer, a desktop computer, a television set-top box, a smart TV, a gaming console, and/or other client computing platforms. 
     Authentication component  106  may be configured to authenticate a user associated with client computing platform  104  accessing the repository of images and/or video segments via system  100 . Authentication component  106  may manage accounts associated with users and/or consumers of system  100 . The user accounts may include user information associated with users and/or consumers of the user accounts. User information may include information stored by server(s)  102 , one or more client computing platform(s)  104 , and/or other storage locations. 
     User information may include one or more of information identifying users and/or consumers (e.g., a username or handle, a number, an identifier, and/or other identifying information), security login information (e.g., a login code or password, a user ID, and/or other information necessary for the user to access server(s)  102 ), system usage information, external usage information (e.g., usage of one or more applications external to system  100  including one or more of online activities such as in social networks and/or other external applications), subscription information, a computing platform identification associated with the user and/or consumer, a phone number associated with the user and/or consumer, privacy settings information, and/or other information related to users and/or consumers. 
     Authentication component  106  may be configured to obtain user information via one or more client computing platform(s)  104  (e.g., user input via a user interface, etc.). If a user and/or consumer does not have a preexisting user account associated with system  100 , a user and/or consumer may register to receive services provided by server  102  via a website, web-based application, mobile application, and/or user application. Authentication component  106  may be configured to create a user ID and/or other identifying information for a user and/or consumer when the user and/or consumer registers. The user ID and/or other identifying information may be associated with one or more client computing platforms  104  used by the user and/or consumer. Authentication component  106  may be configured to store such association with the user account of the user and/or consumer. A user and/or consumer may associate one or more accounts associated with social network services, messaging services, and the like with an account provided by system  100 . 
     Consumption component  108  may be configured to obtain consumption information associated with a user consuming video segments. The consumption information for a given video segment may define user engagement during the given video segment and/or user response to the given video segment. The consumption information may include consumption information for a first video segment and consumption information for a second video segment. Consumption component  108  may be configured to obtain consumption information associated with the user consuming the first video segment and the second video segment. The first video segment and/or the second video segment may be available for consumption within the repository of video segments available via system  100 . The first video segment and/or the second video segment may be available on a third party platform, which may be accessible and/or available via system  100 . While two video segments have been described herein, this is not meant to be a limitation of the disclosure, as consumption component  108  may be configured to obtain consumption information with any number of video segments. 
     The consumption information may define user engagement during the given video segment and/or user response to the given video segment. User engagement during the given video segment may include at least one of an amount of time the user consumes the given video segment and a number of times the user consumes at least one portion of the given video segment. Consumption component  108  may track user engagement and/or viewing habits during the given video segment and/or during at least one portion of the given video segment. Viewing habits during consumption of the given video segment may include an amount of time the user views the given video segment and/or at least one portion of the given video segment, a number of times the user views the given video segment and/or the at least one portion of the given video segment, a number of times the user views other video segments related to the given video segment and/or video segments related to the at least one portion of the given video segment, and/or other user viewing habits. User response to the given video segment may include one or more of commenting on the given video segment, rating the given video segment, up-voting (e.g., “liking”) the given video segment, and/or sharing the given video segment. Consumption information may be stored by server(s)  102 , client computing platforms  104 , and/or other storage locations. 
     Consumption component  108  may be configured to determine a consumption score associated with the consumption information associated with the user consuming the given video segment. The consumption score may quantify a degree of interest of the user consuming the given video segment and/or the at least one portion of the given video segment. Consumption component  108  may determine the consumption score based upon the user engagement during the given video segment, the user response to the given video segment, and/or other factors. Consumption scores may be a sliding scale of numerical values (e.g., 1, 2, . . . n, where a number may be assigned as low and/or high), verbal levels (e.g., very low, low, medium, high, very high, and/or other verbal levels), and/or any other scheme to represent a consumption score. Individual video segments may have one or more consumption scores associated with it. For example, different portions of the individual video segments may be associated with individual consumption scores. An aggregate consumption score for a given video segment may represent a degree of interest of the user consuming the given video segment based upon an aggregate of consumption scores associated with the individual portions of the given video segment. Consumption scores may be stored by server(s)  102 , client computing platforms  104 , and/or other storage locations. 
     For example and referring to  FIG.  2   , first video segment  200  including at least one portion  202  may be included within the repository of video segments available via system  100 . While first video segment  200  is shown to be over 20 minutes long, this is for exemplary purposes only and is not meant to be a limitation of this disclosure, as video segments may be any length of time. If the user frequently consumes and/or views first video segment  200  and/or at least one portion  202  of first video segment  200 , consumption component  108  from  FIG.  1    may associate first video segment  200  and/or at least one portion  202  of first video segment  200  with a consumption score representing a higher degree of interest of the user than other video segments that the user did not consume as frequently as first video segment  200 . If the user consumes the 6 minutes of at least one portion  202  of first video segment  200  more often than other portions of first video segment  200 , consumption component  108  from  FIG.  1    may associate at least one portion  202  of first video segment  200  with a consumption score representing a higher degree of interest of the user than other portions of first video segment  200  that the user did not consume as frequently as at least one portion  202 . In another example, if the user comments on the second video segment (not shown), rates the second video segment, shares the second video segment and/or at least one portion of the second video segment, and/or endorses the second video segment in other ways, consumption component  108  may associate the second video segment and/or the at least one portion of the second video segment with a consumption score representing a higher degree of interest of the user than other video segments that the user did not comment on, rate, share, up-vote, and/or endorse in other ways. 
     Video segments may be captured by one or more sensors associated with an unmanned aerial vehicle. The one or more sensors may include one or more image sensors and may be configured to generate an output signal conveying visual information within a field of view of the one or more sensors. Referring to  FIG.  3   , unmanned aerial vehicle  300  (also referred to herein as UAV  300 ) is illustrated. While UAV  300  is shown as a quadcopter, this is for exemplary purposes only and is not meant to be a limitation of this disclosure. As illustrated in  FIG.  3   , UAV  300  may include four rotors  302 . The number of rotors of UAV  300  is not meant to be limiting in anyway, as UAV  300  may include any number of rotors. UAV  300  may include one or more of housing  304 , flight control subsystem  306 , one or more sensors  308 , sensor control subsystem  310 , controller interface  312 , one or more physical processors  314 , electronic storage  316 , user interface  318 , and/or other components. In some implementations, a remote controller (not shown) may be available as a beacon to guide and/or control UAV  300 . 
     Housing  304  may be configured to support, hold, and/or carry UAV  300  and/or components thereof. 
     Flight control subsystem  306  may be configured to provide flight control for UAV  300 . Flight control subsystem  306  may include one or more physical processors  314  and/or other components. Operation of flight control subsystem  306  may be based on flight control settings and/or flight control information. Flight control information may be based on information and/or parameters determined and/or obtained to control UAV  300 . In some implementations, providing flight control settings may include functions including, but not limited to, flying UAV  300  in a stable manner, tracking people or objects, avoiding collisions, and/or other functions useful for autonomously flying unmanned aerial vehicle  300 . In some implementations, flight control information may be transmitted by a remote controller. In some implementations, flight control information and/or flight control settings may be received by controller interface  312 . 
     Sensor control subsystem  310  may include one or more physical processors  314  and/or other components. While single sensor  308  is depicted in  FIG.  3   , this is not meant to be limiting in any way. UAV  300  may include any number of sensors  308 . Sensor  308  may include an image sensor and may be configured to generate an output signal conveying visual information (e.g., an image and/or video segment) within a field of view. The visual information may include video information, audio information, geolocation information, orientation and/or motion information, depth information, and/or other information. The visual information may be marked, timestamped, annotated, and/or otherwise processed such that information captured by sensor(s)  308  may be synchronized, aligned, annotated, and/or otherwise associated therewith. Sensor control subsystem  310  may be configured to control one or more sensors  308  through adjustments of an aperture timing, an exposure, a focal length, an angle of view, a depth of field, a focus, a light metering, a white balance, a resolution, a frame rate, an object of focus, a capture angle, a zoom parameter, a video format, a sound parameter, a compression parameter, and/or other sensor controls. 
     (01) User interface  318  of UAV  300  may be configured to provide an interface between UAV  300  and a user (e.g. a remote user using a graphical user interface) through which the user may provide information to and receive information from UAV  300 . This enables data, results, and/or instructions and any other communicable items to be communicated between the user and UAV  300 , such as flight control settings and/or image sensor controls. Examples of interface devices suitable for inclusion in user interface  318  may include a keypad, buttons, switches, a keyboard, knobs, levers, a display screen, a touch screen, speakers, a microphone, an indicator light, an audible alarm, and a printer. Information may be provided to a user by user interface  318  in the form of auditory signals, visual signals, tactile signals, and/or other sensory signals. 
     It is to be understood that other communication techniques, either hard-wired or wireless, may be contemplated herein as user interface  318 . For example, in one embodiment, user interface  318  may be integrated with a removable storage interface provided by electronic storage  316 . In this example, information is loaded into UAV  300  from removable storage (e.g., a smart card, a flash drive, a removable disk, etc.) that enables the user(s) to customize UAV  300 . Other exemplary input devices and techniques adapted for use with UAV  300  as user interface  318  may include, but are not limited to, an RS-232 port, RF link, an IR link, modem (telephone, cable, Ethernet, internet or other). In short, any technique for communicating information with UAV  300  may be contemplated as user interface  318 . 
     Flight control settings of UAV  300  may define aspects of flight control subsystem  306  for UAV  300  and/or sensor control subsystem  310  for UAV  300 . Flight control settings may include one or more of an altitude, a longitude, a latitude, a geographical location, a heading, a speed, and/or other flight control settings of UAV  300 . Flight control settings of UAV  300  may be based upon a position of UAV  300  (including a position of a first unmanned aerial vehicle within a group of unmanned aerial vehicles with respect to positions of the other unmanned aerial vehicles within the group of unmanned aerial vehicles). A position of UAV  300  may impact capture of an image and/or video segment. For example, an altitude in which UAV  300  is flying and/or hovering may impact the visual information captured by sensor(s)  308  (e.g., the visual information may be captured at different angles based upon the altitude of UAV  300 ). A speed and/or direction in which UAV  300  is flying may capture different visual information. 
     Flight control settings may be determined based upon flight control information (e.g., an altitude at which UAV  300  is flying, a speed at which UAV  300  is traveling, etc.), output from one or more sensors  308  that captured the visual information, predetermined flight control settings of UAV  300  that captured the visual information, flight control settings preconfigured by a user prior to, during, and/or after capture, and/or other techniques. Flight control settings may be stored and associated with captured visual information (e.g., images and/or video segments) as metadata and/or tags. 
     Referring back to  FIG.  1   , flight control settings component  110  may be configured to obtain sets of flight control settings associated with capture of the video segments. The sets of flight control settings may include a first set of flight control settings associated with capture of the first video segment and a second set of flight control settings associated with capture of the second video segment. Flight control settings component  110  may be configured to obtain the first set of flight control settings associated with capture of the first video segment and to obtain the second set of flight control settings associated with capture of the second video segment consumed by the user. 
     Flight control settings component  110  may determine flight control settings of the unmanned aerial vehicle that captured the individual video segments directly from the video segment, via metadata associated with the given video segment and/or portions of the given video segment, and/or via tags associated with the given video segment and/or portions of the given video segment. At the time when the given video segment was captured and/or stored, flight control settings of the unmanned aerial vehicle capturing the given video segment may have been recorded and/or stored in memory and associated with the given video segment and/or portions of the given video segment. Flight control settings may vary throughout a given video segment, as different portions of the given video segment at different points in time of the given video segment may be associated with different flight control settings of the unmanned aerial vehicle (e.g., the unmanned aerial vehicle may be in different positions at different points in time of the given video segment). Flight control settings component  110  may determine the first set of flight control settings associated with capture of the first video segment directly from the first video segment. Flight control settings component  110  may obtain the first set of flight control settings associated with capture of the first video segment via metadata and/or tags associated with the first video segment and/or portions of the first video segment. Flight control settings component  110  may determine the second set of flight control settings associated with capture of the second video segment directly from the second video segment. Flight control settings component  110  may obtain the second set of flight control settings associated with capture of the second video segment via metadata and/or tags associated with the second video segment and/or portions of the second video segment. 
     Preferences component  112  may be configured to determine the preferences for the flight control settings of the unmanned aerial vehicle based upon the first set of flight control settings and the second set of flight control settings. The preferences for the flight control settings may be associated with the user who consumed the first video segment and the second video segment. The preferences for the flight control settings may be determined based upon the consumption score associated with the first video segment and/or the consumption score associated with the second video segment. For example, the preferences for the flight control settings for the unmanned aerial vehicle may be determined based upon the obtained first set of flight control settings associated with the first video segment, such that the preferences for the flight control settings may be determined to be the same as the first set of flight control settings. The preferences for the flight control settings for the unmanned aerial vehicle may be determined based upon the obtained second set of flight control settings associated with the second video segment, such that the preferences for the flight control settings may be determined to be the same as the second set of flight control settings. The preferences for the flight control settings for the unmanned aerial vehicle may be a combination of the first set of flight control settings and the second set of flight control settings. The combination may be based upon commonalities between the first set of flight control settings and the second set of flight control settings, such that the preferences for the flight control settings for the unmanned aerial vehicle may be determined to be the common flight control settings between the first set of flight control settings and the second set of flight control settings. 
     The preferences for the flight control settings may be based upon individual video segments and/or portions of video segments that may be associated with consumption scores representing a higher degree of interest of the user than other video segments and/or portions of video segments. Preferences component  112  may determine commonalities between individual video segments and/or portions of video segments with consumption scores representing a higher degree of interest of the user (e.g., the first video segment and the second video segment). Commonalities between the video segments and/or portions of video segments with consumption scores representing a higher degree of interest of the user may include common flight control settings between the video segments and/or portions of video segments with consumption scores representing a higher degree of interest of the user. For example, if the first video segment and the second video segment are associated with consumption scores representing a higher degree of interest of the user, preferences component  112  may determine common flight control settings between the first video segment (e.g., the first set of flight control settings) and the second video segment (e.g., the second set of flight control settings) and/or portions of the first video segment and portions of the second video segment. Preferences component  112  may determine the preferences for the flight control settings for the unmanned aerial vehicle to be the common flight control settings between the first set of flight control settings and the second set of flight control settings. 
     Commonalities between the video segments and/or portions of video segments with consumption scores representing a higher degree of interest of the user may include common contextual information associated with capture of the video segments and/or portions of video segments with consumption scores representing a higher degree of interest of the user. Contextual information associated with capture of the video segments and/or portions of video segments may define one or more temporal attributes and/or spatial attributes associated with capture of the video segments and/or portions of video segments. Contextual information may include any information pertaining to an environment in which the video segment was captured. Contextual information may include visual and/or audio information based upon the environment in which the video segment was captured. Temporal attributes may define a time in which the video segment was captured (e.g., date, time, time of year, season, etc.). Spatial attributes may define the environment in which the video segment was captured (e.g., location, landscape, weather, surrounding activities, etc.). The one or more temporal attributes and/or spatial attributes may include one or more of a geolocation attribute, a time attribute, a date attribute, and/or a content attribute. System  100  may obtain contextual information associated with capture of the video segments directly from the video segments, via metadata associated with the video segments and/or portions of the video segments, and/or tags associated with the video segments and/or portions of the video segments. For example, different portions of the video segments may include different tags and/or may be associated with different metadata including contextual information and/or flight control setting information. 
     A geolocation attribute may include a physical location of where the video segment was captured. The geolocation attribute may correspond to one or more of a compass heading, one or more physical locations of where the video segment was captured, a pressure at the one or more physical locations, a depth at the one or more physical locations, a temperature at the one or more physical locations, and/or other information. Examples of the geolocation attribute may include the name of a country, region, city, a zip code, a longitude and/or latitude, and/or other information relating to a physical location where the video segment and/or portion of the video segment was captured. 
     A time attribute may correspond to a one or more timestamps associated with when the video segment was captured. Examples of the time attribute may include a time local to the physical location (which may be based upon the geolocation attribute) of when the video segment was captured, the time zone associated with the physical location, and/or other information relating to a time when the video segment and/or portion of the video segment was captured. 
     A date attribute may correspond to a one or more of a date associated with when the video segment was captured, seasonal information associated with when the video segment was captured, and/or a time of year associated with when the video segment was captured. 
     A content attribute may correspond to one or more of an action depicted within the video segment, one or more objects depicted within the video segment, and/or a landscape depicted within the video segment. For example, the content attribute may include a particular action (e.g., running), object (e.g., a building), and/or landscape (e.g., beach) portrayed and/or depicted in the video segment. One or more of an action depicted within the video segment may include one or more of sport related actions, inactions, motions of an object, and/or other actions. One or more of an object depicted within the video segment may include one or more of a static object (e.g., a building), a moving object (e.g., a moving train), a particular actor (e.g., a body), a particular face, and/or other objects. A landscape depicted within the video segment may include scenery such as a desert, a beach, a concert venue, a sports arena, etc. Content of the video segment may be determined based upon object detection of content included within the video segment. 
     Preferences component  112  may determine and/or obtain contextual information associated with capture of the first video segment and/or the second video segment. Based upon commonalities between the contextual information associated with capture of the first video segment and the second video segment, preferences component  112  may determine the preferences for the flight control settings of the unmanned aerial vehicle to be common flight control settings between the first set of flight control settings and the second set of flight control settings where contextual information associated with capture of the first video segment is similar to contextual information associated with capture of the second video segment. Preferences component  112  may consider the consumption score associated with the individual video segments when determining commonalities between contextual information associated with capture of the individual video segments. 
     Transmission component  114  may be configured to effectuate transmission of instructions to the unmanned aerial vehicle. The instructions may include the determined preferences for the flight control settings. The instructions may be configured to cause the unmanned aerial vehicle to adjust the flight control settings of the unmanned aerial vehicle to the determined preferences. The instructions may be configured to cause the unmanned aerial vehicle to automatically adjust the flight control settings of the unmanned aerial vehicle to the determined preferences the next time the unmanned aerial vehicle is activated (e.g., turned on, in use, in flight, and/or capturing an image and/or video segment) or each time the unmanned aerial vehicle is activated. The unmanned aerial vehicle may adjust the flight control settings prior to and/or during capturing an image and/or video segment. The instructions may include recommendations for the determined preferences for the flight control settings such that the user of the unmanned aerial vehicle may choose to manually input and/or program the flight control settings of the unmanned aerial vehicle upon the unmanned aerial vehicle receiving the instructions. 
     The instructions may be configured to cause the unmanned aerial vehicle to automatically adjust the flight control settings of the unmanned aerial vehicle to the determined preferences based upon current contextual information associated with the unmanned aerial vehicle and current flight control settings of the unmanned aerial vehicle. The current contextual information may define current temporal attributes and/or current spatial attributes associated with the unmanned aerial vehicle. The current contextual information, current temporal attributes, and/or current spatial attributes may be similar to the contextual information, temporal attributes, and/or spatial attributes discussed above. System  100  and/or the unmanned aerial vehicle may determine and/or obtain current temporal attributes and/or current spatial attributes in real-time. Contextual information may include any information pertaining to an environment in which the unmanned aerial vehicle is in and/or surrounded by. Contextual information may be obtained via one or more sensors internal and/or external to the unmanned aerial vehicle. The contextual information may be transmitted to system  100  via unmanned aerial vehicle and/or directly from one or more sensors external to the unmanned aerial vehicle. 
     The geolocation attribute may be determined based upon one or more of geo-stamping, geotagging, user entry and/or selection, output from one or more sensors (external to and/or internal to the unmanned aerial vehicle), and/or other techniques. For example, the unmanned aerial vehicle may include one or more components and/or sensors configured to provide one or more of a geo-stamp of a geolocation of a current video segment prior to, during, and/or post capture of the current video segment, output related to ambient pressure, output related to depth, output related to compass headings, output related to ambient temperature, and/or other information. For example, a GPS of the unmanned aerial vehicle may automatically geo-stamp a geolocation of where the current video segment is captured (e.g., Del Mar, Calif.). The user may provide geolocation attributes based on user entry and/or selection of geolocations prior to, during, and/or post capture of the current video segment. 
     The time attribute may be determined based upon timestamping and/or other techniques. For example, the unmanned aerial vehicle may include an internal clock that may be configured to timestamp the current video segment prior to, during, and/or post capture of the current video segment (e.g., the current video segment may be timestamped at 1 PM PST). In some implementations, the user may provide the time attribute based upon user entry and/or selection of timestamps prior to, during, and/or post capture of the current video segment. 
     The date attribute may be determined based upon date stamping and/or other techniques. For example, the unmanned aerial vehicle may include an internal clock and/or calendar that may be configured to date stamp the current video segment prior to, during, and/or post capture of the current video segment. In some implementations, the user may provide the date attribute based upon user entry and/or selection of date stamps prior to, during, and/or post capture of the current video segment. Seasonal information may be based upon the geolocation attribute (e.g., different hemispheres experience different seasons based upon the time of year). 
     The content attribute may be determined based upon one or more action, object, landscape, and/or composition detection techniques. Such techniques may include one or more of SURF, SIFT, bounding box parameterization, facial recognition, visual interest analysis, composition analysis (e.g., corresponding to photography standards such as rule of thirds and/or other photography standards), audio segmentation, visual similarity, scene change, motion tracking, and/or other techniques. In some implementations content detection may facilitate determining one or more of actions, objects, landscapes, composition, and/or other information depicted in the current video segment. Composition may correspond to information determined from composition analysis and/or other techniques. For example, information determined from composition analysis may convey occurrences of photography standards such as the rule of thirds, and/or other photograph standards. In another example, a sport related action may include surfing. The action of surfing may be detected based upon one or more objects that convey the act of surfing. Object detections that may convey the action of surfing may include one or more of a wave shaped object, a human shaped object standing on a surfboard shaped object, and/or other objects. 
     Upon determination of current contextual information associated with the unmanned aerial vehicle, the unmanned aerial vehicle may be configured to adjust the current flight control settings to the determined preferences based upon the current contextual information and current flight control settings of the unmanned aerial vehicle. The current flight control settings may be the preferences for the flight control settings included within the instructions. The current flight control settings may be the last set of flight control settings configured the last time the unmanned aerial vehicle was in use. The current flight control settings may be pre-configured by the unmanned aerial vehicle. 
     Current contextual information may be transmitted to system  100  such that system  100  may determine preferences for flight control settings of the unmanned aerial vehicle in real-time or near real-time based upon user preferences of flight control settings relating to consumption scores associated with the first video segment (e.g., the first set of flight control settings) and the second video segment (e.g., the second set of flight control settings). The current contextual information may be transmitted to system  100  prior to, during, and/or post capture of the current video segment. Transmission component  114  may be configured to effectuate transmission of instructions to the unmanned aerial vehicle in real-time or near real-time in response to receiving the current contextual information associated with capture of the current video segment. 
     For example, system  100  may determine that the user has a preference for video segments including skiing. If a majority of the video segments that kept the user engaged included skiing and were captured with similar flight control settings, and if system  100  receives current contextual information indicating that the user is currently capturing a video segment including skiing, then transmission component  114  may effectuate transmission of instructions to the unmanned aerial vehicle, in real-time or near real-time, to automatically adjust the flight control settings of the unmanned aerial vehicle to the flight control settings of the video segments consumed by the user which included skiing. Transmission component  114  may be configured to effectuate transmission of the instructions to the unmanned aerial vehicle prior to and/or during capture of the current video segment. The flight control settings of the unmanned aerial vehicle may be adjusted prior to and/or during capture of the current video segment. The current flight control settings of the unmanned aerial vehicle which are different from the determined preferences included within the instructions may be adjusted to the determined preferences included within the instructions. 
     This process may be continuous such that system  100  may transmit instructions to the unmanned aerial vehicle based upon current contextual information associated with capture of a current video segment, current flight control settings, and/or flight control settings associated with previously stored and/or consumed video segments and/or portions of video segments which the user has a preference for. The preferences may be determined based upon contextual information associated with capture of the preferred video segments and/or portions of video segments. 
     A remote controller may be configured to override the determined preferences of the unmanned aerial vehicle. For example, if the unmanned aerial vehicle automatically adjusts the flight control settings to the determined flight control settings of the video segments consumed by the user received within the instructions, the user may manually override the flight control settings via a remote controller. 
     Referring to  FIG.  4   , video segment  400  is shown. The user may have consumed portion  402  of video segment  400  more frequently and/or shared portion  402  of video segment  400  more times than other portions of video segment  400  (e.g., portion  402  of video segment  400  may be associated with a consumption score representing a higher degree of interest of the user than other portions of video segment  400 ). System  100  may determine and/or obtain contextual information relating to capture of portion  402  includes that at least portion  402  of video segment  400  was captured on and/or near a ski slope in Tahoe and that a skier is depicted within portion  402  of video segment  400 . Other portions of video segment  400  may simply depict the ski slope without the skier. System  100 , via flight control settings component  110  of  FIG.  1   , may obtain a set of flight control settings associated with capture of portion  402  of video segment  400  and/or other portions of video segment  400  in a similar manner as described above. System  100 , via preferences component  112  of  FIG.  1   , may determine the preferences for the flight control settings of the unmanned aerial vehicle associated with the user based upon the obtained set of flight control settings associated with capture of portion  402  and/or other portions of video segment  400  in a similar manner as described above. System  100 , via transmission component  114  of  FIG.  1   , may effectuate transmission of the preferences for the flight control settings to the unmanned aerial vehicle associated with the user. 
     Referring to  FIG.  5   , UAV  500  is depicted. UAV  500  may be located in a first position (position A) near a similar ski slope as the ski slope depicted in video segment  400  of  FIG.  4    (e.g., based upon a GPS associated with UAV  500 ). UAV  500  may begin capturing a video of the ski slope with current flight control settings. The current flight control settings of UAV  500  may include the last set of flight control settings when UAV  500  was last in use, pre-configured flight control settings by UAV  500 , manual configuration of the flight control settings by the user, adjusted flight control settings based upon received instructions including preferences for the current flight control settings from system  100  (e.g., the received instructions may have been in response to UAV  500  being located near a ski slope), and/or other current settings of UAV  500 . Upon a skier entering a field of view of one or more sensors associated with UAV  500 , UAV  500  may be configured to automatically adjust the current flight control settings to a set of preferred flight control settings based upon instructions transmitted from system  100  while continuing to capture the video segment without interruption. The set of preferred flight control settings included within the instructions may include the determined preferences for the flight control settings based upon user engagement of portion  402  of video segment  400  of  FIG.  4   . For example, the determined preferred flight control settings from capture of video segment  400  may include capturing the skier from in front of the skier, on the East side of the ski slope, hovering at 15 feet above the ground, while zoomed into the skier, and then pans out to a wide-angle once the skier travels past UAV  500 . UAV  500  may be on the West side of the ski slope in position A as the skier enters the field of view of one or more sensors associated with UAV  500  in position A. If UAV  500  receives the instructions including such preferences for the flight control settings, UAV  500  may automatically adjust the current flight control settings such that the flight path of UAV  500  may travel from position A to position B (e.g., the East side of the ski slope) to capture the skier while zoomed into the skier in front of the skier 15 feet above the ground and may pan out to a wide-angle once the skier travels past UAV  500 . The user may manually override the flight control settings and/or determined preferences of UAV  500  at any time via a remote controller (not shown). 
     Referring again to  FIG.  1   , in some implementations, server(s)  102 , client computing platform(s)  104 , and/or external resources  120  may be operatively linked via one or more electronic communication links  126 . For example, such electronic communication links  126  may be established, at least in part, via a network such as the Internet and/or other networks. It will be appreciated that this is not intended to be limiting, and that the scope of this disclosure includes implementations in which server(s)  102 , client computing platform(s)  104 , and/or external resources  120  may be operatively linked via some other communication media. 
     A given client computing platform  104  may include one or more processors configured to execute computer program components. The computer program components may be configured to enable a producer and/or user associated with the given client computing platform  104  to interface with system  100  and/or external resources  120 , and/or provide other functionality attributed herein to client computing platform(s)  104 . By way of non-limiting example, the given client computing platform  104  may include one or more of a desktop computer, a laptop computer, a handheld computer, a NetBook, a Smartphone, a gaming console, and/or other computing platforms. 
     External resources  120  may include sources of information, hosts and/or providers of virtual environments outside of system  100 , external entities participating with system  100 , and/or other resources. In some implementations, some or all of the functionality attributed herein to external resources  120  may be provided by resources included in system  100 . 
     Server(s)  102  may include electronic storage  122 , one or more processors  124 , and/or other components. Server(s)  102  may include communication lines, or ports to enable the exchange of information with a network and/or other computing platforms. Illustration of server(s)  102  in  FIG.  1    is not intended to be limiting. Servers(s)  102  may include a plurality of hardware, software, and/or firmware components operating together to provide the functionality attributed herein to server(s)  102 . For example, server(s)  102  may be implemented by a cloud of computing platforms operating together as server(s)  102 . 
     Electronic storage  122  may include electronic storage media that electronically stores information. The electronic storage media of electronic storage  122  may include one or both of system storage that is provided integrally (i.e., substantially non-removable) with server(s)  102  and/or removable storage that is removably connectable to server(s)  102  via, for example, a port (e.g., a USB port, a firewire port, etc.) or a drive (e.g., a disk drive, etc.). Electronic storage  122  may include one or more of optically readable storage media (e.g., optical disks, etc.), magnetically readable storage media (e.g., magnetic tape, magnetic hard drive, floppy drive, etc.), electrical charge-based storage media (e.g., EEPROM, RAM, etc.), solid-state storage media (e.g., flash drive, etc.), and/or other electronically readable storage media. The electronic storage  122  may include one or more virtual storage resources (e.g., cloud storage, a virtual private network, and/or other virtual storage resources). Electronic storage  122  may store software algorithms, information determined by processor(s)  124 , information received from server(s)  102 , information received from client computing platform(s)  104 , and/or other information that enables server(s)  102  to function as described herein. 
     Processor(s)  124  may be configured to provide information processing capabilities in server(s)  102 . As such, processor(s)  124  may include one or more of a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information. Although processor(s)  124  is shown in  FIG.  1    as a single entity, this is for illustrative purposes only. In some implementations, processor(s)  124  may include a plurality of processing units. These processing units may be physically located within the same device, or processor(s)  124  may represent processing functionality of a plurality of devices operating in coordination. The processor(s)  124  may be configured to execute computer readable instruction components  106 ,  108 ,  110 ,  112 ,  114 , and/or other components. The processor(s)  124  may be configured to execute components  106 ,  108 ,  110 ,  112 ,  114 , and/or other components by software; hardware; firmware; some combination of software, hardware, and/or firmware; and/or other mechanisms for configuring processing capabilities on processor(s)  124 . 
     It should be appreciated that although components  106 ,  108 ,  110 ,  112 , and  114  are illustrated in  FIG.  1    as being co-located within a single processing unit, in implementations in which processor(s)  124  includes multiple processing units, one or more of components  106 ,  108 ,  110 ,  112 , and/or  114  may be located remotely from the other components. The description of the functionality provided by the different components  106 ,  108 ,  110 ,  112 , and/or  114  described herein is for illustrative purposes, and is not intended to be limiting, as any of components  106 ,  108 ,  110 ,  112 , and/or  114  may provide more or less functionality than is described. For example, one or more of components  106 ,  108 ,  110 ,  112 , and/or  114  may be eliminated, and some or all of its functionality may be provided by other ones of components  106 ,  108 ,  110 ,  112 , and/or  114 . As another example, processor(s)  124  may be configured to execute one or more additional components that may perform some or all of the functionality attributed herein to one of components  106 ,  108 ,  110 ,  112 , and/or  114 . 
       FIG.  6    illustrates a method  600  for determining preferences for flight control settings of an unmanned aerial vehicle, in accordance with one or more implementations. The operations of method  600  presented below are intended to be illustrative. In some implementations, method  600  may be accomplished with one or more additional operations not described, and/or without one or more of the operations discussed. Additionally, the order in which the operations of method  600  are illustrated in  FIG.  5    and described below is not intended to be limiting. 
     In some implementations, method  600  may be implemented in one or more processing devices (e.g., a digital processor, an analog processor, a digital circuit designed to process information, an analog circuit designed to process information, a state machine, and/or other mechanisms for electronically processing information). The one or more processing devices may include one or more devices executing some or all of the operations of method  600  in response to instructions stored electronically on an electronic storage medium. The one or more processing devices may include one or more devices configured through hardware, firmware, and/or software to be specifically designed for execution of one or more of the operations of method  600 . 
     At an operation  602 , consumption information associated with a user consuming video segments may be obtained. Operation  602  may be performed by a consumption component that is the same as or similar to consumption component  108 , in accordance with one or more implementations. 
     At an operation  604 , sets of flight control settings associated with capture of the video segments may be obtained. Operation  604  may be performed by a flight control settings component that is the same as or similar to flight control settings component  110 , in accordance with one or more implementations. 
     At an operation  606 , preferences for the flight control settings of the unmanned aerial vehicle may be determined based upon the first set of flight control settings and the second set of flight control settings. Operation  606  may be performed by a preferences component that is the same as or similar to preferences component  112 , in accordance with one or more implementations. 
     At an operation  608 , instructions including the determined preferences for the flight control settings may be transmitted to the unmanned aerial vehicle. Operation  608  may be performed by a transmission component that is the same as or similar to transmission component  114 , in accordance with one or more implementations. 
     Although the system(s) and/or method(s) of this disclosure have been described in detail for the purpose of illustration based on what is currently considered to be the most practical and preferred implementations, it is to be understood that such detail is solely for that purpose and that the disclosure is not limited to the disclosed implementations, but, on the contrary, is intended to cover modifications and equivalent arrangements that are within the spirit and scope of the appended claims. For example, it is to be understood that the present disclosure contemplates that, to the extent possible, one or more features of any implementation can be combined with one or more features of any other implementation.