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. © Springer-Verlag Berlin Heidelberg 2007.
Cite
CITATION STYLE
Pan, X., Li, J., Zhang, Y., Tang, S., & Cao, J. (2007). Retrieval method for video content in different format based on spatiotemporal features. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 4425 LNCS, pp. 728–731). Springer Verlag. https://doi.org/10.1007/978-3-540-71496-5_79
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