Title :
Automatic object segmentation for content-based video coding
Author :
Hwang, Sang Won ; Kim, Eun Yi ; Kim, Hang Joon
Author_Institution :
Dept. of Comput. Eng., Kyungpook Nat. Univ., Daegu, South Korea
Abstract :
Video object segmentation is an indispensable process for content-based video coding. Accordingly, this paper presents an automatic video object segmentation system that can automatically extract and track moving objects. Experimental results demonstrate the effectiveness of the proposed system
Keywords :
data compression; feature extraction; image motion analysis; image segmentation; image sequences; tracking; video coding; MPEG-4 visual coding standard; automatic video object segmentation system; content-based video coding; motion detection; moving object extraction; moving object tracking; video object planes; video sequence; Biological cells; Circuits; Couplings; Image segmentation; MPEG 4 Standard; Motion detection; Object detection; Object segmentation; Video coding; Video sequences;
Conference_Titel :
Consumer Electronics, 2001. ICCE. International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-7803-6622-0
DOI :
10.1109/ICCE.2001.935251