Ordinal Measures for Image Correspondence
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast and Robust Search Method for Short Video Clips from Large Video Collection
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Robust voting algorithm based on labels of behavior for video copy detection
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
The relationship of transform coefficients for differing transforms and/or differing subblock sizes
IEEE Transactions on Signal Processing
The spatial relationship of DCT coefficients between a block andits sub-blocks
IEEE Transactions on Signal Processing
Spatiotemporal sequence matching for efficient video copy detection
IEEE Transactions on Circuits and Systems for Video Technology
Copy detection of immersed content in video databases
Proceedings of the 2nd ACM workshop on Multimedia in forensics, security and intelligence
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In this paper, a fast and robust video copy detection scheme is proposed, which is suitable for the DCT-coded video sequences. To address the efficiency and effectiveness issue, we extract the video signature directly from the compressed domain. The video sequence clusters are constructed with a fixed length. Each cluster consists of several fictional key-frames. For each key-frame, some low-middle frequency full DCT coefficients are obtained directly from block DCT coefficients, and their ordinal measure is computed and acts as video signature. A rotation compensational strategy is further employed to resist the rotation attacks. The experimental results show that the proposed scheme can be resilient to various types of video transformations, including scaling, rotation, speed change, text insertion, and subsequence insertion/deletion etc.. The most important thing is that the proposed approach not only handles geometric distortion perfectly, but also reduces the computation costs substantially.