Title :
Moving video object segmentation based on redundant wavelet transform
Author :
Gao, Tao ; Liu, Zheng-guang
Author_Institution :
Electr. Eng. & Autom. Coll., Univ. of Tianjin, Tianjin
Abstract :
The segmentation of video object is an important technique of multimedia processing. The biggest characteristic of MPEG-4 which is the multimedia compressing standard is that it puts forward the video object based compressing. Currently, there is no method which can segment the moving object effectively. This paper puts forward a new method to obtain the motion area based on redundant wavelet transforms and then to segment the moving video object. Experimental results show that the method can obtain the moving object effectively and with strong robustness.
Keywords :
image motion analysis; image segmentation; video coding; wavelet transforms; MPEG-4; moving video object segmentation; multimedia compressing standard; multimedia processing; redundant wavelet transform; Automation; Image coding; MPEG 4 Standard; Multiresolution analysis; Object segmentation; Optical noise; Optical sensors; Video compression; Videoconference; Wavelet transforms;
Conference_Titel :
Information and Automation, 2008. ICIA 2008. International Conference on
Conference_Location :
Changsha
Print_ISBN :
978-1-4244-2183-1
Electronic_ISBN :
978-1-4244-2184-8
DOI :
10.1109/ICINFA.2008.4607987