Retrieval Method for Video Content in Different Format Based on Spatiotemporal Features

In this paper a robust video content retrieval method based on spatiotemporal features is proposed. To date, most video retrieval methods are using the character of video key frames. This kind of frame based methods is not robust enough for different video format. With our method, the temporal variation of visual information is presented using spatiotemporal slice. Then the DCT is used to extract feature of slice. With this kind of feature, a robust video content retrieval algorithm is developed. The experiment results show that the proposed feature is robust for variant video format.

[1]  Vasudev Bhaskaran,et al.  Spatiotemporal sequence matching for efficient video copy detection , 2005, IEEE Trans. Circuits Syst. Video Technol..

[2]  Xian-Sheng Hua,et al.  Robust video signature based on ordinal measure , 2004, 2004 International Conference on Image Processing, 2004. ICIP '04..

[3]  S.-L. Peng,et al.  Interpretation of image sequences by spatio-temporal analysis , 1989, [1989] Proceedings. Workshop on Visual Motion.

[4]  Chong-Wah Ngo,et al.  On clustering and retrieval of video shots through temporal slices analysis , 2002, IEEE Trans. Multim..

[5]  Ruud M. Bolle,et al.  Comparison of sequence matching techniques for video copy detection , 2001, IS&T/SPIE Electronic Imaging.