Visual Group Binary Signature for Video Copy Detection

2014-08-28
Ozkan, Savas
Esen, Ersin
Akar, Gözde
Need for automatic video copy detection is increased with the recent technical developments in the internet technologies and video recording. Even though image-based techniques with bag-of-word kind of representations are accepted as the best solution because of robustness and speed; they discard the convenient geometric relation which exists among interest points. In this work, we propose a novel geometric relation which computes a binary signature leveraging existence and non-existence of interest points in the neighborhood area. The experimental results on TRECVID 2009 content-based video copy detection dataset show that combination of our method with recently proposed quantization-based indexing and weak geometric consistency schemes outperforms classical representations.

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Citation Formats
S. Ozkan, E. Esen, and G. Akar, “Visual Group Binary Signature for Video Copy Detection,” 2014, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38342.