Title :
Content-based retrieval of video sequences under partial occlusion
Author :
Shirani, Shahram ; Jerbi, Ali ; Kossentini, Faouzi ; Ward, Rabab ; Wu, Jonathan
Author_Institution :
Dept. of Electr. & Comput. Eng., British Columbia Univ., Vancouver, BC, Canada
Abstract :
In this paper, we present a spatio-temporal segmentation method for content-based video retrieval. Our method is effective in the presence of partial occlusion or when new areas become exposed. In addition, periodic spatial segmentation is not performed. Rather, it is invoked as needed depending on whether or not new regions have been detected. A discussion of how this method can be used for content-based retrieval is also provided. Finally, experimental results that demonstrate the performance of the proposed spatio-temporal segmentation method are presented
Keywords :
content-based retrieval; image segmentation; content-based video retrieval; partial occlusion; spatio-temporal segmentation; video sequences; Computer vision; Content based retrieval; Graphics; Image segmentation; Layout; Merging; Partitioning algorithms; Speech; Tracking; Video sequences;
Conference_Titel :
Image Processing, 1999. ICIP 99. Proceedings. 1999 International Conference on
Conference_Location :
Kobe
Print_ISBN :
0-7803-5467-2
DOI :
10.1109/ICIP.1999.817112