Retrieval method for video content in different format based on spatiotemporal features

Authors:
Xuefeng Pan;Jintao Li;Yongdong Zhang;Sheng Tang;Juan Cao
Affiliations:
Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School of Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China;Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China and Graduate School of Chinese Academy of Sciences, Beijing, China
Venue:
ECIR'07 Proceedings of the 29th European conference on IR research
Year:
2007

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Abstract

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.