Patent Publication Number: US-2020301960-A1

Title: Systems and methods for naming objects based on object content

Description:
CROSS-REFERENCE TO RELATED APPLICATIONS 
     This application claims the benefit of U.S. Provisional Application No. 62/820,078, entitled “SYSTEMS AND METHODS FOR NAMING OBJECTS BASED ON OBJECT CONTENT,” filed on Mar. 18, 2019, which is incorporated herein by reference in its entirety for all purposes. 
    
    
     BACKGROUND 
     The present disclosure relates generally to graphical user interfaces (GUIs) and, more particularly, to determining descriptive object names for display on the GUI. 
     This section is intended to introduce the reader to various aspects of art that may be related to various aspects of the present disclosure, which are described and/or claimed below. This discussion is believed to be helpful in providing the reader with background information to facilitate a better understanding of the various aspects of the present disclosure. Accordingly, it should be understood that these statements are to be read in this light, and not as admissions of prior art. 
     Electronic devices, such as smartphones and laptops, often include a display that supports a graphical user interface (GUI). The GUI may enable a user to communicate with the electronic device by allowing the user to interact with graphical icons and visual indicators on the display. For example, a user may interact with a presentation application file using the presentation application icon. The user, in particular, may interact with multiple objects within the application to generate the application file. However, in instances when a relatively large number of objects are included in the application file, such as when objects are layered over one another, the user may have difficulty identifying and interacting with the appropriate objects to design the application file as intended. 
     SUMMARY 
     A summary of certain embodiments disclosed herein is set forth below. It should be understood that these aspects are presented merely to provide the reader with a brief summary of these certain embodiments and that these aspects are not intended to limit the scope of this disclosure. Indeed, this disclosure may encompass a variety of aspects that may not be set forth below. 
     The present disclosure generally relates to determining descriptive object names for display on a graphical user interface (GUI) by using machine learning to identify contents of the object(s) and generating the descriptive name(s) based on the contents. Application files, such as a presentation document, may include a variety of objects that are inserted and placed by the user. For example, a slide may include text object(s) and/or image object(s). To facilitate user interaction with the content of the application file, the application file may include an object list that lists the inserted objects using associated default names, which may be generic. As an example, image objects may be listed under the default name “image”. When a relatively large number of objects are included in the application file, the user may have difficulty identifying objects via the default names displayed in the object list. 
     To improve user identification and interaction with objects included within the application file, in some embodiments, once an inserted object in the application file is detected, a machine learning content classifier may detect the contents of the object and may determine an appropriate classification label for the object based on the contents. When the classification label meets confidence and filter criteria, the electronic device may update metadata (e.g., object name) of the object to reflect the classification label. That is, the classification label may be used as the descriptive name. In some embodiments, when the confidence level and the filter criteria are not met, the object metadata may not be modified and the object name may remain the default name. Further, in some embodiments, when the user overrides a classification label generated by the content classifier with a user-defined name, the content classifier may output the user-defined name as the appropriate classification label (e.g., descriptive name) for objects with similar characteristics as the object whose classification label was replaced by the user-defined name. 
    
    
     
       BRIEF DESCRIPTION OF THE DRAWINGS 
       Various aspects of this disclosure may be better understood upon reading the following detailed description and upon reference to the drawings in which: 
         FIG. 1  is a block diagram of an electronic device that includes a graphical user interface, in accordance with an embodiment; 
         FIG. 2  is a front view of a hand-held device representing an example of the electronic device of  FIG. 1 , in accordance with an embodiment; 
         FIG. 3  is a front view of another hand-held device representing another example of the electronic device of  FIG. 1 , in accordance with an embodiment; 
         FIG. 4  is a perspective view of a notebook computer representing another example of the electronic device of  FIG. 1 , in accordance with an embodiment; 
         FIG. 5  is a front view of a wearable electronic device representing another example of the electronic device of  FIG. 1 , in accordance with an embodiment; 
         FIG. 6  is a schematic of an application file having an object list that displays default names for each object in the application file, in accordance with an embodiment; 
         FIG. 7  is a schematic of the application file having an object list that displays descriptive names for each object in the application file, in accordance with an embodiment; 
         FIG. 8  is a process for determining the descriptive names for each object in the application file of  FIG. 7  based on object content, in accordance with an embodiment; 
         FIG. 9  is a schematic of an application file having an object list that displays user-defined names for certain objects in the application file, in accordance with an embodiment; 
         FIG. 10  is a process for modifying the descriptive name of the certain objects in the application file of  FIG. 9  based on the user-defined name, in accordance with an embodiment; 
         FIG. 11  is a process for automatically updating the descriptive name of the certain objects in the application file of  FIG. 9  using the user-defined name for the certain objects, in accordance with an embodiment; 
         FIG. 12  is a schematic of an application file that includes indications of objects with object names related to a keyword search performed on the object list, in accordance with an embodiment; and 
         FIG. 13  is a process for generating the indication of the objects with object names related to the keyword search performed on the object list of  FIG. 12 , in accordance with an embodiment. 
     
    
    
     DETAILED DESCRIPTION OF SPECIFIC EMBODIMENTS 
     One or more specific embodiments will be described below. In an effort to provide a concise description of these embodiments, not all features of an actual implementation are described in the specification. It should be appreciated that in the development of any such actual implementation, as in any engineering or design project, numerous implementation-specific decisions must be made to achieve the developers&#39; specific goals, such as compliance with system-related and business-related constraints, which may vary from one implementation to another. Moreover, it should be appreciated that such a development effort might be complex and time consuming, but would nevertheless be a routine undertaking of design, fabrication, and manufacture for those of ordinary skill having the benefit of this disclosure. 
     When introducing elements of various embodiments of the present disclosure, the articles “a,” “an,” and “the” are intended to mean that there are one or more of the elements. The terms “comprising,” “including,” and “having” are intended to be inclusive and mean that there may be additional elements other than the listed elements. Additionally, it should be understood that references to “one embodiment” or “an embodiment” of the present disclosure are not intended to be interpreted as excluding the existence of additional embodiments that also incorporate the recited features. 
     The present disclosure generally relates to graphical user interfaces (GUIs) used to visually facilitate communication between a user and an electronic device. In particular, the user may interact with components of an application file using the GUI. For example, in an iWork® application, such as Keynote and Pages, the user may insert and place text objects, image objects, and/or shape objects within the application file to generate and design the application file. 
     To facilitate user interaction with the contents of the application file, the application file may include an object list that displays a list of the objects included in at least a portion of the application file. As an example, the object list may include a list of objects present in a slide of a presentation file and may be searched by the user for a particular object. Further, the objects may be listed in the object list using associated default name that are intended to be as descriptive as possible so that the user may easily find particular objects. For example, an image object may have a default name of its object type (e.g., “image”) and a text object may have a default name of its object type (e.g., “text”). 
     However, when the application file or the portion of the application file includes a relatively large number of objects, the object list may no longer assist the user in easily and quickly identifying a specific object. In particular, when default names are used to describe the objects in the object list, the default name may no longer be descriptive enough to efficiently identify the specific object within the application file. In other words, a search of the object list may result in multiple objects with a similar default name. For example, a user that may search “image” in the object list may receive a result of all image objects included within the application file or the portion of the application file. 
     Moreover, visually-impaired users may use a voiceover application to identify objects within the application file. The voiceover application may voice the metadata (e.g., name) of the object that the user hovers over or selects within the application file and/or the object list. However, when the application file includes multiple objects that have similar default names, as described above, the default name may no longer be descriptive enough to efficiently describe the object to the visually-impaired user. 
     Accordingly, the present disclosure provides systems and techniques to determine descriptive object names for efficient identification of objects within an application file. In some embodiments, the default name of each object may be made descriptive by updating the default name to a name based a description of the object contents (e.g., descriptive name). In particular, an electronic device implementing the application may detect an input to insert an object into the application file. The input may include copying and pasting, collaborations between application users, importing of an object without a name into the application file, and the like. Once the input is received, a machine learning content classifier may detect the contents of the object and determine an appropriate classification label for the object based on the contents. 
     In some embodiments, the content classifier may determine whether the classification label describes the contents of the object with high enough accuracy and whether to filter out the classification label from use, for example, because the label is derogatory or otherwise undesirable. When the accuracy (e.g., confidence level) and the filter criteria are met, the electronic device may update metadata (e.g., name metadata) of the object to reflect the classification label. The updated metadata may be stored in the application file for use later and the classification label may be displayed as the descriptive object name, replacing the default name. 
     In some embodiments, when the confidence level and/or the filter criteria are not met, the electronic device may refrain from modifying the object metadata, resulting in the object name remaining the default name. Additionally or alternatively, when the user overrides the descriptive name for a certain object with a user-defined name, the content classifier may use the user-defined name when generating descriptive names for objects with similar characteristics as that of the certain object. Further, if the user removes the user-defined name from use in the object list, the object name may be restored to the classification label and/or to the default name. Additional details with regard to providing descriptive object names for efficient identification of objects within the application file using the embodiments described herein are detailed below with reference to  FIGS. 1-13 . 
     With this in mind, an embodiment of an electronic device  10  that includes a graphical user interface (GUI) is shown in  FIG. 1 . As will be described in more detail below, the electronic device  10  may be any suitable electronic device, such as a computer, a mobile phone, a portable media device, a tablet, a television, a virtual-reality headset, a vehicle dashboard, and the like. Thus, it should be noted that  FIG. 1  is merely one example of a particular implementation and is intended to illustrate the types of components that may be present in the electronic device  10 . 
     In the depicted embodiment, the electronic device  10  includes a radio frequency system  12 , one or more input devices  14 , local memory  16 , a processor core complex  18 , one or more main memory storage devices  20 , a power source  22 , one or more input/output ports  24 , and an electronic display  26 . The various components described in  FIG. 1  may include hardware elements (e.g., circuitry), software elements (e.g., a tangible, non-transitory computer-readable medium storing instructions), or a combination of both hardware and software elements. It should be noted that the various depicted components may be combined into fewer components or separated into additional components. For example, the local memory  16  and a main memory storage device  20  may be included in a single component. 
     As depicted, the processor core complex  18  is operably coupled with the local memory  16  and the main memory storage device  20 . Thus, the processor core complex  18  may execute instruction stored in the local memory  16  and/or the main memory storage device  20  to perform operations, such as instructing the electronic display  26  to display application icons that the user may interact with. As such, the processor core complex  18  may include one or more general purpose microprocessors, one or more application specific processors (ASICs), one or more field programmable logic arrays (FPGAs), or any combination thereof. 
     In addition to the instructions, the local memory  16  and/or the main memory storage device  20  may store data to be processed by the processor core complex  18 . Thus, in some embodiments, the local memory and/or the main memory storage device  20  may include one or more tangible, non-transitory, computer-readable mediums. For example, the local memory  16  may include random access memory (RAM) and the main memory storage device  20  may include read only memory (ROM), rewritable non-volatile memory such as flash memory, hard drives, optical discs, and the like. 
     As depicted, the processor core complex  18  may be operably coupled with the radio frequency system  12 . The radio frequency system  12  may facilitate wireless communication of data with another electronic device and/or a network. For example, the radio frequency system  12  may enable the electronic device  10  to communicatively couple to a personal area network (PAN), such as a Bluetooth network, a local area network (LAN), such as an 802.11x Wi-Fi network, and/or a wide area network (WAN), such as a fourth-generation wireless technology (4G), 5G, or LTE cellular network. In other words, the radio frequency system  12  may enable wireless communication of data using various communication protocols and/or at various output powers (e.g., strength of transmitted analog electrical signals). 
     Additionally, as depicted, the processor core complex  18  is also operably coupled with the I/O ports  24 . In some embodiments, the I/O ports  24  may enable the electronic device  10  to interface with other electronic devices. For example, a portable storage device may be connected to an I/O port  24 , thereby enabling the processor core complex  18  to communicate data with a portable storage device. 
     Further, as depicted, the processor core complex  18  is operably coupled to the power source  22 . In some embodiments, the power source  22  may provide power to one or more components in the electronic device  10 , such as the processor core complex  18  and/or the radio frequency system  12 . Thus, the power source  22  may include any suitable energy source, such as a rechargeable lithium polymer (Li-poly) battery and/or an alternating current (AC) power converter. 
     Furthermore, as depicted, the processor core complex  18  is operably coupled with the input devices  14 . In some embodiments, the input device  14  may facilitate user interaction with the electronic device  10 , for example, by receiving user inputs. Thus, the input devices  14  may include a button, a keyboard, a mouse, a trackpad, and/or the like. Additionally, in some embodiments, the input devices  14  may include touch-sensing components in the electronic display  26 . In such embodiments, the touch-sensing components may receive user inputs by detecting occurrence and/or position of an object touching the surface of the electronic display  26 . 
     In addition to enabling user inputs, the electronic display  26  may display image frames, such as a graphical user interface (GUI) for an operating system, an application interface, a still image, or video content. As depicted, the electronic display  26  is operably coupled to the processor core complex  18 . In this manner, the electronic display  26  may display image frames based at least in part on image data received from the processor core complex  18 . 
     As mentioned previously, a user may interact with applications displayed on the GUI. In particular, the applications may include an object list that displays names of the objects inserted and placed by the user within an application file. Further, a voiceover application may voice the names of the objects inserted and placed by the user within the application file. Once the object is inserted in the application file, a machine learning content classifier may detect the contents of the object and determine an appropriate classification label for the object based on the contents. The default name of each object may be made more descriptive by updating the default names to a descriptive name based on the classification label. 
     As described above, the electronic device  10  may be any suitable electronic device. To help illustrate, one example of a suitable electronic device  10 , specifically a handheld electronic device  10 A, is shown in  FIG. 2 . In some embodiments, the handheld electronic device  10 A may be a portable phone, a media player, a personal data organizer, a handheld game platform, and/or the like. For example, the handheld electronic device  10 A may be a smart phone, such as any iPhone® model available from Apple Inc. 
     As depicted, the handheld electronic device  10 A includes an enclosure  34  (e.g., housing). In some embodiments, the enclosure  34  may protect interior components from physical damage and/or shield them from electromagnetic interference. Thus, a radio frequency system  12  (not shown) may also be enclosed within the enclosure  34  and internal to the handheld electronic device  10 A. In some examples, the enclosure  34  may operate as part of the one or more antennas of the radio frequency system  12 . 
     Additionally, as depicted, the enclosure  34  may surround the electronic display  26 . In the depicted embodiment, the electronic display  26  is displaying a graphical user interface (GUI)  36  having an array of icons  38 . By way of example, when an icon  38  is selected either by an input device  14  or a touch sensing component of the electronic display  26 , an application program may launch, such as a presentation application. 
     Furthermore, as depicted, input devices  14  open through the enclosure  34 . As described above, the input devices  14  may enable a user to interact with the handheld electronic device  10 A. For example, the input devices  14  may enable the user to activate or deactivate the handheld electronic device  10 A, navigate a user interface to a home screen, navigate a user interface to a user-configurable application screen, activate a voice-recognition feature, provide volume control, and/or toggle between vibrate and ring modes. As depicted, the I/O ports  24  also open through the enclosure  34 . In some embodiments, the I/O ports  24  may include, for example, a multi-function connector port (e.g., Lightning port) to connect to external devices. 
     To further illustrate, another example of a suitable electronic device  10 , specifically a tablet electronic device  10 B is shown in  FIG. 3 . For example, the tablet electronic device  10 B may be any iPad® model available from Apple Inc. A further example of a suitable electronic device  10 , specifically a computer  10 C, is shown in  FIG. 4 . For example, the computer  10 C may be any Macbook® or iMac® model available from Apple Inc. Another example of a suitable electronic device  10 , specifically a watch  10 D, is shown in  FIG. 5 . For example, the watch  10 D may be any Apple Watch® model available from Apple Inc. 
     As depicted, the tablet electronic device  10 B, the computer  10 C, and the watch  10 D each also include an electronic display  26 , input devices  14 , I/O ports  24 , and an enclosure  34 . Thus, in some embodiments, the enclosure  34  may enclose a radio frequency system  12  in the tablet electronic device  10 B, the computer  10 C, and/or the watch  10 D to facilitate wireless communication of data with other electronic devices and/or a network. 
     To help illustrate determining descriptive object names for display on the GUI,  FIG. 6  depicts a GUI  600  rendering an application file having an object list that displays default names for each object in the application file, in accordance with an embodiment. In particular, the application file may be a presentation file that, for example, includes three presentation slides  602 ,  604 ,  606 . The user may choose a slide  606  for modification, as shown by the bolded indication. For example, the user may insert an image object  608 , a shape object  610 , and/or a text object  612  into the slide  606 . Although the application file is depicted as a presentation file, it should be appreciated that the application file may be any type of file, such as a word processing file or a spreadsheet file. 
     The slide  606  may also include an object list  614  that displays a list of objects (e.g.,  608 ,  610 ,  612 ) within the slide  606 . As shown, the object list  614  may display default names for the objects (e.g.,  608 ,  610 ,  612 ) within the slide  606 , such that the default names are as descriptive as possible for easy and quick identification by the user. For example, the image objects (e.g.,  608 ) may be listed under the name “image”  616 , the shape objects (e.g.,  610 ) under the name of their shape (e.g., “txt rectangle”  706 ), and the text objects (e.g.,  612 ) under the name of “text”  620 . Additionally or alternatively, when similar object types are included within the slide  606 , the object list  614  may include sequential objects names, such as image1, image2, and the like. Further, when an object, such as the image object  608 , is selected by the user, the associated object name  628  may be highlighted in the object list  614  to improve user interaction with the application content. 
     The object list  614  may also improve the ability of the user to easily and quickly identify and interact with the application content by enabling the user to perform a search within the object list  614  for a particular object. For example, the user may search for the keyword “image”, which may generate a result that includes objects named “image”. However, when multiple objects of the same object type or other similar characteristics are included within the slide  606 , the search result may fail to provide accurate and narrowed search results. As an example, when the user searches for “image”, the object list may display all image objects  608 ,  622 ,  624  on the slide  606  and their associated object names  616 ,  626 ,  628 . Additionally, when the user uses the voiceover application to voice the name or description of a chosen object, the voiceover application may only be able to describe the object using the default object name. Since the default name may not be descriptive enough when multiple objects with similar characteristics are included within the slide  606 , the voiceover application may not provide an accurate and identifying description of the chosen object. 
     The default object names may be updated to a more descriptive name that facilitates the user&#39;s interaction with the application contents.  FIG. 7  depicts a GUI  700  rendering an application file having an object list  702  that displays descriptive names for the objects based on the respective object contents, in accordance with an embodiment. In particular, the application may detect one or more inputs to insert an object into the application file. For example, the user may copy and paste or import the object  608  into the application file. 
     Once the application file receives the input, a content classifier may be applied to the object  608  to determine the contents of the object  608 . The content classifier may be built into the operating system of the electronic device  10 . Further, the content classifier may be trained using a set of object contents considered to be representative of classification labels a designer may want to display on the GUI. For example, the content classifier may be fed images of trees that adequately represent the classification label “tree.” In addition, a subset of classification labels or terms in the classification labels that are deemed appropriate may be preselected and used to train the content classifier to recognize object content conforming to such approved classification labels. As such, the output of the content classifier may be accurate and may only include appropriate/desired classification labels. In some embodiments, the content classifier may applied to the object  608  as soon as the object  608  is inserted into the application file or once a group of other objects (e.g.,  622 ,  624 ) that also have been inserted into the application file. 
     The content classifier may determine an appropriate classification label for the object  608  based on the contents within the object  608 . For example, the content classifier may determine that the object  608  includes a palm tree and thus, may output classification labels of tree and/or palm tree. Before outputting the classification label to the application file, the content classifier may determine whether the classification label(s) describes the contents of the object  608  with high enough accuracy (e.g., confidence). For example, the content classifier may determine an 80% confidence level for the classification label “tree” and a 30% confidence level for the classification label “palm tree”. The content classifier may select, as the output, the classification label that has the highest confidence level when multiple classification labels have been determined and/or may select the classification label whose confidence level is greater than or equal to a predetermined confidence threshold. As such, the content classifier may provide classification labels of greater accuracy and/or specificity. 
     For text objects  612 , the content classifier may use keywords from the text and/or associations with other objects to determine classification label(s) that best describes the subject of the text. For example, the content classifier may evaluate proper nouns and verbs within the text. As another example, the content classifier may evaluate metadata (e.g., name, caption) of objects associated with the text object  612  to determine the classification label(s) that best describes the subject of the text. 
     For other objects, such as videos, the content classifier may perform an image classification on one or more frames of the video to determine a classification label that appropriately describes the contents of the video. As an example, when a first frame of the video includes a waterfall and a second frame of the video includes a cliff, the content classifier may output a classification label of “landscape.” Regardless of the object type, the content classifier may determine a confidence for each generated classification label and may output the appropriate classification label for the object. 
     Once the classification label is generated, the electronic device  10  may update metadata (e.g., name metadata) of the object  608  to reflect the classification label. In particular, the classification label may be stored in the application file and the classification label may be displayed as the descriptive object name. For example, the content classifier may output the classification label “tree” as the most appropriate classification label for the object  608  and the object name may be updated to “tree”. As shown, the updated object name for the object  608  may be included in the object list  702 . 
     In addition, the content classifier may output classification labels for the other objects  610 ,  612 , such as “Txt Rectangle  3 ”  706  and “Text: Palm Tree”  708 , respectively. In some embodiments, the content classifier may output these classification labels by identifying words (e.g., proper nouns) that tend to suggest a particular classification for the word. Further, the content classifier may use metadata (e.g., name) of objects, such as image objects, associated with the object (e.g.,  610 ,  612 ) to determine the appropriate classification labels. Thus, the name of the object may be updated to provide an indication of the subject matter of the object (e.g.,  610 ,  612 ). Additionally or alternatively, in some embodiments, the updated metadata may follow the object (e.g.,  608 ) and be used to populate corresponding fields when, for example, the object (e.g.,  608 ) is exported to another application file. Further, the voiceover applications may voice the more descriptive, updated object name to better describe objects to, for example, a visually-impaired user. 
       FIG. 8  summarizes a process  800  for determining the descriptive names for each object in the application file based on the object content, in accordance with an embodiment. While process  800  is described according to a certain sequence, it should be understood that the present disclosure contemplates that the described steps may be performed in different sequences than the sequence illustrated, and certain described steps may be skipped or not performed altogether. In some embodiments, the process  800  may be implemented at least in part by executing instructions stored in a tangible, non-transitory, computer-readable medium, such as the memory  20 , using processing circuitry, such as the processor core complex  18 . Additionally or alternatively, the process  800  may be implemented at least in part by circuit connections and/or control logic implemented in an electronic device  10 . 
     The process  800  may be initiated when the processor core complex  18  of the electronic device  10  detects an input to insert the object (e.g.,  608 ) in a portion of an application file (e.g., the slide  606 ) (process block  802 ). As previously discussed, the input may include the user copying and pasting the object  608  into the application file and/or importing the object  608  into the application file. The processor core complex  18  may subsequently classify contents of the object  608  by instructing the application to apply the content classifier to the object  608  as soon as the object  608  is inserted into the application file or with a group of objects included in the application file (process block  804 ). The content classifier may determine one or more classification labels that describe the contents of the object  608  along with a confidence level for each classification label. 
     The processor core complex  18  may also instruct the content classifier to filter the one or more classification labels according to one or more predetermined filters stored in the application or content classifier or according to one or more user-defined filters (process block  806 ). For example, the filters may remove classification labels related to politics or that are derogatory. The processor core complex  18  may subsequently instruct the content classifier to determine whether a classification label determined by the content classifier has passed the confidence level and filter criteria (decision block  808 ). 
     When no classification labels have passed the criteria, the content classifier may be reapplied to the object (e.g.,  608 ) to determine another set of classification labels. In some embodiments, when no classification labels have passed the criteria, the default name may be used to populate the object list  702  rather than a descriptive name based on the classification label. When a classification label has passed the criteria, the processor core complex  18  may update the metadata of the object based on the classification label by instructing the application file to store the classification label as the object name (process block  810 ). Once the object name has been updated, the classification label may be displayed as the descriptive name in the object list  702  (process block  812 ). 
     The user may choose to override one or more classification labels based on personal preference and instead use a user-defined name for objects associated with the one or more classification labels.  FIG. 9  depicts a GUI  900  rendering an application file that has an object list  902  which displays user-defined names, in accordance with an embodiment. In particular, the user may prefer using a user-defined name for certain objects or object types as compared to the default name or the descriptive name generated by the content classifier. When the user chooses to override the descriptive name using the user-defined name, the content classifier may learn the user&#39;s preference and automatically output the user-defined metadata for similar objects instead of the content-based classification label. 
     As an example, the user may prefer to use the description “rectangle” to describe the shape objects (e.g.,  610 ) used within the slide  606 . When the user inserts another shape object  904  into the application file, the content classifier may use the description “rectangle” to describe the newly inserted shape object  904 . As shown, the object list  902  may include the object name “Rectangle  4 ” to describe the shape object  904 . 
     In some embodiments, the user-defined name may be used even when the object (e.g.,  904 ) is exported from the application file and/or when the content classifier version is updated, such as with an update of the application supporting the application file. Further, if the user elects to remove the user-defined names from use in the object list  902  and/or use in the voiceover application, the classification labels for each object may be restored, if available. In addition, if the user elects to remove the classification labels from use in the object list  902  and/or use in the voiceover application, the default names for each object may be restored. 
       FIG. 10  depicts a process  1000  for determining the descriptive name of the objects based on the user-defined name for the object (e.g.,  610 ,  904 ), in accordance with an embodiment. While the process  1000  is described according to a certain sequence, it should be understood that the present disclosure contemplates that the described steps may be performed in different sequences than the sequence illustrated, and certain described steps may be skipped or not performed altogether. In some embodiments, the process  1000  may be implemented at least in part by executing instructions stored in a tangible, non-transitory, computer-readable medium, such as the memory  20 , using processing circuitry, such as the processor core complex  18 . Additionally or alternatively, the process  1000  may be implemented at least in part by circuit connections and/or control logic implemented in an electronic device  10 . 
     The process  1000  may begin when the application file receives a user input to change metadata (e.g., name metadata) of an object to the user-defined name, as described above (process block  1002 ). For example, the user may elect to rename the shape objects  610 ,  904  with the name “rectangle”. Upon receiving the user input to change the object name metadata, the processor core complex  18  may instruct the application to modify the object name to the user-defined name (process block  1004 ). 
     In addition,  FIG. 11  depicts a process  1100  for automatically updating the name of the object (e.g.,  904 ) using the user-defined name for objects (e.g.,  610 ,  904 ) of a similar type, in accordance with an embodiment. While process  1100  is described according to a certain sequence, it should be understood that the present disclosure contemplates that the described steps may be performed in different sequences than the sequence illustrated, and certain described steps may be skipped or not performed altogether. In some embodiments, the process  1100  may be implemented at least in part by executing instructions stored in a tangible, non-transitory, computer-readable medium, such as the memory  20 , using processing circuitry, such as the processor core complex  18 . Additionally or alternatively, the process  1100  may be implemented at least in part by circuit connections and/or control logic implemented in an electronic device  10 . 
     Generally, the process  1100  may be initiated when the application receives an input to add a new object that has similar characteristics as an object whose metadata, and thus descriptive name, has been modified to a user-defined name (process block  1102 ). For example, the user may indicate that he/she wants to insert the shape object  904 , which has similar characteristics (e.g., object content, shape, color) to other shape objects (e.g.,  610 ) in the application file. The processor core complex  18  may then instruct the content classifier to determine the user-defined name to replace the name of the new object (e.g.,  904 ) (process block  1104 ). In particular, the content classifier may determine the objects (e.g.,  610 ) that are to the new object (e.g.,  904 ) and use the user-defined name associated with these object (e.g.,  610 ) to determine the appropriate user-defined name (e.g., “rectangle”) for the new object (e.g.,  904 ). The processor core complex  18  may then instruct the application to insert the new object (e.g.,  904 ) into the application file with metadata that is updated with the user-defined name (process block  1106 ). 
     To further facilitate quick and simple identification of objects in the application file by the user, the object list may be searchable and the objects that fit the results may be indicated in the application file.  FIG. 12  depicts a GUI  1200  rendering an application file that includes indications of objects that have object names related to a keyword searched in the object list  1202 , in accordance with an embodiment. As shown, the user may perform a search in the object list  1202 , such as for the keyword “tree”. The application and/or the content classifier may analyze the names of each object included within the application file or a portion of the application file and may determine the object names that are related to the keyword. For example, the application and/or the content classifier may determine that object names “orchards” and “tree” are related to the keyword “tree”. The application file may then be updated to reflect the search results. For example, the object list  1202  may be updated with the object names “orchards” and “tree”. Further, indications (e.g., bold highlighting) may be generated around the slide and/or the objects that are associated with the related object names. Additionally or alternatively, in some embodiments, slides (e.g., slide  604 ) that do not show objects with the object names related to the keyword may be filtered from the preview bar  1204  to make it easier and faster for the user to find the location of the objects with the related object names. 
       FIG. 13  illustrates a process  1300  for generating the indication of the objects with object names that are related to the keyword search performed on the object list  1202 , in accordance with an embodiment. While process  1300  is described according to a certain sequence, it should be understood that the present disclosure contemplates that the described steps may be performed in different sequences than the sequence illustrated, and certain described steps may be skipped or not performed altogether. In some embodiments, the process  1300  may be implemented at least in part by executing instructions stored in a tangible, non-transitory, computer-readable medium, such as the memory  20 , using processing circuitry, such as the processor core complex  18 . Additionally or alternatively, the process  1300  may be implemented at least in part by circuit connections and/or control logic implemented in an electronic device  10 . 
     The process  1300  may begin when the application receives a search request from the user that includes a content keyword to search for in the application file (process block  1302 ). For example, and as described above, the user may search for the content keyword “tree” in the application file. The processor core complex  18  may then instruct the application and/or the content classifier to perform a keyword search on one or more object names included in the application file (process block  1304 ). The processor core complex  18  may then determine whether there are any objects with object names related to the keyword included in the application file (decision block  1306 ). When no objects with object names are related to the keyword included in the application file, no indication (e.g., empty search result in the object list, no bold highlighting) may be provided to the user (process block  1308 ). When objects with object names are related to the keyword included in the application file, an indication of portions of the application file that include these objects may be provided to the user, as described above (process block  1310 ). 
     As such, the present technique may automatically provide more accurate and narrow results of searches performed on objects within the object list, may automatically provide better descriptions of the objects included in the application, and may improve accessibility and navigation of the application file for, for example, visually-impaired users. 
     The specific embodiments described above have been shown by way of example, and it should be understood that these embodiments may be susceptible to various modifications and alternative forms. It should be further understood that the claims are not intended to be limited to the particular forms disclosed, but rather to cover all modifications, equivalents, and alternatives falling within the spirit and scope of this disclosure.