Identifying Abusive Videos Inserted In A Video

Disclosed herein is an improved mechanism for identifying abusive videos that have been inserted in a video. The mechanism can identify a video to be analyzed. The mechanism can then identify, for each frame of the video, a group of candidate locations within the video at which a two-dimensional video is likely to be embedded. The system can cluster the identified candidate locations and identify a subset of the candidate locations based on the clusters. The system can then identify a two-dimensional video embedded at one of the locations included in subset of candidate locations. BACKGROUND Video content providers can receive uploaded video content, store the uploaded video content, and then provide the uploaded video content to many users, for example, by streaming the video content to multiple user devices. These video content providers may determine whether the uploaded video content matches video content in a reference database, for example, that includes reference files of copyrighted content. However, in an effort to bypass or circumvent these detection systems, some content uploaders may upload a first video, where a second video is embedded within the first video and where the second video may be copyrighted or otherwise protected. It can be difficult to identify abusive videos that are embedded within another video. Thus, there is a need for an improved mechanism for identifying abusive videos inserted in a video. 2 Pavetic and Vorushin: Identifying Abusive Videos Inserted In A Video Published by Technical Disclosure Commons, 2019 DESCRIPTION The systems and techniques described in this disclosure relate to identifying abusive videos inserted in a video. The system can be implemented on a server, such as a server associated with a media content sharing service. FIG. 1 illustrates an example process for identifying abusive videos inserted in a video. FIG. 1 IDENTIFY A VIDEO TO BE ANALYZED 102 IDENTIFY, FOR EACH FRAME OF THE VIDEO, A GROUP OF CANDIDATE LOCATIONS WITHIN THE VIDEO AT WHICH A 2D MOVIE IS LIKELY TO BE EMBEDDED CLUSTER THE IDENTIFIED CANDIDATE LOCATIONS IN THE GROUP OF CANDIDATE LOCATIONS IDENTIFY A SUBSET OF THE CANDIDATE LOCATIONS BASED ON THE CLUSTERS IDENTIFY A VIDEO EMBEDDED AT ONE OF THE SUBSET OF CANDIDATE LOCATIONS 104