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Bit Rate-based H.264 Video Copy Detection

Jian Li,
Yan Kong,

Abstract


In this paper, we propose a bit rate-based copy detection scheme for H.264 compressed video. The video descriptor is extracted from the compressed video domain thus without the need of decoding the stream. We firstly segment the video stream into a series of shots, then organize the bit rate of the Pframes within each shot in time sequencing, and perform low-pass filtering on the bit rate sequence to reduce the noise from video coding, and finally we obtain the video descriptor from the filtered bit rate sequences shot by shot. The duplicated video is identified by measuring the edit distance between the video descriptors. The most obvious advantage of our proposed CBCD scheme is of low computational load under high detection accuracy. Besides, experimental results demonstrate that it is also able to resist most common video operations, such as re-encoding, cropping etc.

Citation Format:
Jian Li, Yan Kong, "Bit Rate-based H.264 Video Copy Detection," Journal of Internet Technology, vol. 19, no. 1 , pp. 099-104, Jan. 2018.

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Published by Executive Committee, Taiwan Academic Network, Ministry of Education, Taipei, Taiwan, R.O.C
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