ROBUST VIDEO SIGNATURE BASED ON ORDINAL MEASURE (MP-L4)

Author(s) : Xian-Sheng Hua (Microsoft Research Asia, China) Xian Chen (Tsinghua University, China) Hong-Jiang Zhang (Microsoft Research Asia, China)

Abstract : In this paper we proposed a video signature based on ordinal measure of resampled video frames, which is robust to different compression formats, compression ratios, frame sizes and frame rates. To effectively localize a short query video clip in a long target video through the proposed video signature, we developed a coarse-to-fine scheme for signature comparison. In the coarse searching step, roughly matched positions are determined based on Sequence Shape Similarity, while in the fine searching step, dynamic programming is employed to handle similarity matching in the cases of losing frames or small quantity of temporal video editing. Experiments showed that the proposed video signature has good robustness and uniqueness, which are the two essential properties of video signatures.

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