Abstract:
Presenting thumbnails of visual objects using a data processing system includes determining, using a processor, aspect ratios for a plurality of visual objects and associating, using the processor, each of the plurality of visual objects with a thumbnail size selected from a plurality of predetermined thumbnail sizes based upon the aspect ratio of the visual object. A determination is made whether a visual feature is detected within the plurality of visual objects. A layout for displaying thumbnails of the plurality of visual objects is generated using the processor based on chronological order of the visual objects, detection of the visible feature, and the thumbnail sizes associated with the visual objects. Using a screen and the processor, the thumbnails are displayed according to the layout.
Abstract:
Presenting thumbnails of visual objects using a data processing system includes determining, using a processor, aspect ratios for a plurality of visual objects and associating, using the processor, each of the plurality of visual objects with a thumbnail size selected from a plurality of predetermined thumbnail sizes based upon the aspect ratio of the visual object. A determination is made whether a visual feature is detected within the plurality of visual objects. A layout for displaying thumbnails of the plurality of visual objects is generated using the processor based on chronological order of the visual objects, detection of the visible feature, and the thumbnail sizes associated with the visual objects. Using a screen and the processor, the thumbnails are displayed according to the layout.
Abstract:
Video editing using contextual data may include collecting metadata from a sensor concurrently with recording a video, wherein the metadata is synchronized in time with the video, detecting attributes within the metadata and attributes from the video, and correlating the attributes with a plurality of editors. An editor may be selected from the plurality of editors according to the correlating and a video editing workflow may be automatically initiated. Content discovery using clusters may include receiving a user request for video content from a device, determining a behavioral cluster for the user according to demographic data for the user, determining a video of interest associated with the behavioral cluster, and providing a video of interest to the device using the processor.
Abstract:
Video editing using contextual data may include collecting metadata from a sensor concurrently with recording a video, wherein the metadata is synchronized in time with the video, detecting attributes within the metadata and attributes from the video, and correlating the attributes with a plurality of editors. An editor may be selected from the plurality of editors according to the correlating and a video editing workflow may be automatically initiated. Content discovery using clusters may include receiving a user request for video content from a device, determining a behavioral cluster for the user according to demographic data for the user, determining a video of interest associated with the behavioral cluster, and providing a video of interest to the device using the processor.