Abstract: A computer-implemented system and method for generating and implementing real-time optimized savings recommendations during online purchase checkout processes. The recommendations may be in the form of personalized digital nudges designed to influence the user in a manner that furthers a savings goal.

Abstract: Processing compliance documents based on an artificial intelligence (AI) model is described herein. A system is configured to obtain a compliance document and obtain seed data associated with the compliance document. The seed data includes a plurality of sample text inputs and a plurality of sample computer readable operations associated with the plurality of sample text inputs. The system is also configured to parse text in the compliance document into one or more text segments, provide the one or more text segments and the seed data to the AI model, and obtain, from the AI model, one or more computer readable operations associated with the one or more text segments. The one or more computer readable operations are generated by the AI model based on few-shot learning using the seed data. The system is also configured to store the one or more computer readable operations for completing the compliance document.

Abstract: Systems and methods for tagging portions a spherical video segment are provided. The spherical video segment may include visual content. User input indicating a moment in time in the spherical video segment and a viewing angle corresponding to the moment in time may be received. Tag information for the spherical video segment may be generated. The tag information may identify the moment in time and the viewing angle such that a subsequent presentation of the spherical video segment, proximate to the moment in time, includes a notification that the viewing angle is outside a display field of view based on the viewing angle being located outside the display field of view.

Abstract: Videos may be automatically generated using a set of video clip. Individual moments of interest may be identified within individual video clips of a set of video clips. A moment of interest may correspond to a point in time within a video clip. The point in time may be associated with one or more values of one or more attributes of the video clip. Individual moments of interest may be associated with individual portions of a video. The video may be generated using the set of video clips based on the associations.

Abstract: A computer-implemented system and method for generating and implementing real-time optimized savings recommendations during online purchase checkout processes. The recommendations may be in the form of personalized digital nudges designed to influence the user in a manner that furthers a savings goal.

Abstract: A first portion of a first video segment may be obtained from a user. A second portion of a second video segment may be obtained from the user. The first portion and the second portion may be aggregated to form an aggregated video segment. A first set of capture settings associated with capture of the first portion may be obtained. A second set of capture settings associated with capture of the second portion may be obtained. Preferences for capture settings of an image capturing device may be determined based upon the first and second set of capture settings. Instructions may be transmitted to the image capturing device. The instructions may include the determined preferences for the capture settings and may be configured to cause the image capturing device to adjust the capture settings to the determined preferences.

Abstract: Videos may be automatically generated using a set of video clip. Individual moments of interest may be identified within individual video clips of a set of video clips. A moment of interest may correspond to a point in time within a video clip. The point in time may be associated with one or more values of one or more attributes of the video clip. Individual moments of interest may be associated with individual portions of a video. The video may be generated using the set of video clips based on the associations.

Abstract: Users desiring to generate videos from video clips may want to locate moments of interest within the video clips. A system and method described herein may be configured to provide recommendations of moments of interest within video clips post capture of the video clips. User accounts associated with users of the system may include preference information that defines user preferences with respect to values of attributes of video clips. Moments of interest may be identified within individual video clips when the individual video clips have at least one value of at least one attribute specified by the user preferences. Recommendations of identified moments of interest may be provide to users.

Abstract: Users desiring to generate videos from video clips may want to locate moments of interest within the video clips. A system and method described herein may be configured to provide recommendations of moments of interest within video clips post capture of the video clips. User accounts associated with users of the system may include preference information that defines user preferences with respect to values of attributes of video clips. Moments of interest may be identified within individual video clips when the individual video clips have at least one value of at least one attribute specified by the user preferences. Recommendations of identified moments of interest may be provide to users.

Abstract: Videos may be automatically generated using a set of video clip. Individual moments of interest may be identified within individual video clips of a set of video clips. A moment of interest may correspond to a point in time within a video clip. The point in time may be associated with one or more values of one or more attributes of the video clip. Individual moments of interest may be associated with individual portions of a video. The video may be generated using the set of video clips based on the associations.

Abstract: Systems and methods for tagging portions a spherical video segment are provided. The spherical video segment may include visual content. User input indicating a moment in time in the spherical video segment and a viewing angle corresponding to the moment in time may be received. Tag information for the spherical video segment may be generated. The tag information may identify the moment in time and the viewing angle such that a subsequent presentation of the spherical video segment, proximate to the moment in time, includes a notification that the viewing angle is outside a display field of view based on the viewing angle being located outside the display field of view.

Abstract: A first portion of a first video segment may be obtained from a user. A second portion of a second video segment may be obtained from the user. The first portion and the second portion may be aggregated to form an aggregated video segment. A first set of capture settings associated with capture of the first portion may be obtained. A second set of capture settings associated with capture of the second portion may be obtained. Preferences for capture settings of an image capturing device may be determined based upon the first and second set of capture settings. Instructions may be transmitted to the image capturing device. The instructions may include the determined preferences for the capture settings and may be configured to cause the image capturing device to adjust the capture settings to the determined preferences.

Abstract: Systems and methods for marking an event of interest within a spherical video segment are provided. The spherical video segment may define visual content viewable from a point of view. User input may designate an event of interest within the visual content. The user input may indicate a moment in time in the spherical video segment and a viewing angle of the event of interest. Tag information associated with the event of interest may be generated. The tag information may identify the moment in time and the viewing angle such that a subsequent presentation of the spherical video segment, proximate to the moment in time, includes an alert notification that the event of interest is outside a display field of view based on the viewing angle being outside the display field of view.

Abstract: Consumption information associated with a user consuming a first video segment may be obtained. The consumption information may define user engagement during a video segment and/or user response to the video segment. Consumption information associated with the user consuming a second video segment may be obtained. A first set of capture settings associated with capture of the first video segment may be obtained. A second set of capture settings associated with capture of the second video segment may be obtained. The preferences for the capture settings of the image capturing device may be determined based upon the first and second set of capture settings. Instructions may be transmitted to the image capturing device. The instructions may include the determined preferences for the capture settings and may be configured to cause the image capturing device to adjust the capture settings to the determined preferences.

Abstract: A first portion of a first video segment may be obtained from a user. A second portion of a second video segment may be obtained from the user. The first portion and the second portion may be aggregated to form an aggregated video segment. A first set of capture settings associated with capture of the first portion may be obtained. A second set of capture settings associated with capture of the second portion may be obtained. Preferences for capture settings of an image capturing device may be determined based upon the first and second set of capture settings. Instructions may be transmitted to the image capturing device. The instructions may include the determined preferences for the capture settings and may be configured to cause the image capturing device to adjust the capture settings to the determined preferences.

Abstract: This disclosure relates to systems and methods that generate highlights for a video. A video may be accessed. Criteria for identifying a moment of interest within the video based on a user interaction with a portion of the video may be obtained. Interaction information indicating the user interaction with the portion of the video may be received. The interaction information for the portion of the video may be compared with the criteria. Responsive to the interaction information for the portion of the video indicating the user interaction with the portion of the video satisfying the criteria, a moment in the video corresponding to the portion of the video may be associated with the moment of interest.

Abstract: Video clips may be automatically edited to be synchronized for accompaniment by audio tracks. A preliminary version of a video clip may be made up from stored video content. Occurrences of video events within the preliminary version may be determined. A first audio track may include audio event markers. A first revised version of the video clip may be synchronized so that moments within the video clip corresponding to occurrences of video events are aligned with moments within the first audio track corresponding to audio event markers. Other audio tracks similar to the first audio track may be identified based on audio characteristic parameters. Other revised versions of the video clip may be synchronized.

Abstract: Users desiring to generate videos from video clips may want to locate moments of interest within the video clips. A system and method described herein may be configured to provide recommendations of moments of interest within video clips post capture of the video clips. User accounts associated with users of the system may include preference information that defines user preferences with respect to values of attributes of video clips. Moments of interest may be identified within individual video clips when the individual video clips have at least one value of at least one attribute specified by the user preferences. Recommendations of identified moments of interest may be provide to users.

Abstract: A first portion of a first video segment may be obtained from a user. A second portion of a second video segment may be obtained from the user. The first portion and the second portion may be aggregated to form an aggregated video segment. A first set of capture settings associated with capture of the first portion may be obtained. A second set of capture settings associated with capture of the second portion may be obtained. Preferences for capture settings of an image capturing device may be determined based upon the first and second set of capture settings. Instructions may be transmitted to the image capturing device. The instructions may include the determined preferences for the capture settings and may be configured to cause the image capturing device to adjust the capture settings to the determined preferences.

Abstract: Videos may be automatically generated using a set of video clip. Individual moments of interest may be identified within individual video clips of a set of video clips. A moment of interest may correspond to a point in time within a video clip. The point in time may be associated with one or more values of one or more attributes of the video clip. Individual moments of interest may be associated with individual portions of a video. The video may be generated using the set of video clips based on the associations.