Abstract

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.

Creative Commons License

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.

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