VIDEO EDITING USING CONTEXTUAL DATA AND CONTENT DISCOVERY USING CLUSTERS

摘要

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.