Object extraction in video sequences based on the spatio-temporal independent component analysis

Zhenhe Chen; Xiao-Ping Zhang

doi:10.1117/12.503167

23 June 2003 Object extraction in video sequences based on the spatio-temporal independent component analysis

Zhenhe Chen, Xiao-Ping Zhang

Proceedings Volume 5150, Visual Communications and Image Processing 2003; (2003) https://doi.org/10.1117/12.503167
Event: Visual Communications and Image Processing 2003, 2003, Lugano, Switzerland

Abstract

Compression and content-based video retrieval (CBVR) are essential needs for efficient and intelligent utilizations of vast multimedia databases over the Internet. In video sequences, object based extraction techniques are gaining importance in achieving compression and performing content-based video retrieval. In this paper, a novel technique is developed to extract objects from video sequences based on spatiotemporal independent component analysis (stICA) and multiscale analysis. The stICA is used to extract the preliminary source images containing moving objects in the video sequences. The source image data obtained after stICA analysis are further processed using wavelet based multiscale image segmentation and region detection techniques to improve the accuracy of the extracted object. Preliminary results demonstrate great potential for stICA based object extraction technique in content-based video processing applications.

Citation Download Citation

Zhenhe Chen and Xiao-Ping Zhang "Object extraction in video sequences based on the spatio-temporal independent component analysis", Proc. SPIE 5150, Visual Communications and Image Processing 2003, (23 June 2003); https://doi.org/10.1117/12.503167

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