Robust video retrieval using temporal MVMB moments

Authors:
Duan-Yu Chen;Hong-Yuan Mark Liao;Suh-Yin Lee
Affiliations:
Institute of Information Science, Academia Sinica, Nankang, Taipei, Taiwan;Institute of Information Science, Academia Sinica, Nankang, Taipei, Taiwan;Department of Computer Science and Information Engineering, National Chiao-Tung University, Hsinchu, Taiwan
Venue:
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2005

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Abstract

In this paper, we propose motion pattern-based descriptor which exploits both spatial and temporal features to characterize video sequences in a semantics-based manner. The Discrete Cosine Transform (DCT) is applied to convert the high-level features from the time domain to the frequency domain. The energy concentration property of DCT allows us to use only a few DCT coefficients to precisely capture the variations of moving blobs. In comparison with the frequently used motion activity descriptors, the RLD and SAH of MPEG-7, the proposed descriptor yields 38% and 19% average gains over RLD and SAH, respectively.