A compact, effective descriptor for video copy detection
Mei-Chen Yeh, Kwang-Ting Tim Cheng · 2009
Large scale video copy detection tasks require a compact and computational-efficient descriptor that is robust to various transformations that are typically applied to generate copies. In this paper, we propose a new frame-level descriptor for such a task. The descriptor encodes the internal structure of a video frame by computing the pair-wise correlations between geometrically pre-indexed blocks. It is conceptually simple, small in size, and fast to compute. Experiments using the MUSCLE VCD benchmark show its superior performance compared to existing approaches.