DocumentCode :
310437
Title :
A motion estimation and image segmentation technique based on the variable block size
Author :
Yeo, Hangu ; Hu, Yu Hen
Author_Institution :
Dept. of Electr. & Comput. Eng., Wisconsin Univ., Madison, WI, USA
Volume :
4
fYear :
1997
fDate :
21-24 Apr 1997
Firstpage :
3137
Abstract :
We discuss our effort to develop a motion estimation algorithm based on variable block size, which reduces the computational complexity dramatically while maintaining a good picture quality as well as a high compression ratio. A key step in this work is to segment each image frame into different regions using a simple binary-level classifier which performs bit-wise comparison. In the second stage, the motion estimation is performed for every block of variable block size within the changed region with a predetermined maximum search range. The proposed technique has been applied to interframe video coding, and it has been shown that this scheme can be a feasible solution for the low bit rate coding application such as video telephony
Keywords :
channel capacity; computational complexity; image classification; image segmentation; motion estimation; video coding; videotelephony; binary level classifier; bit wise comparison; computational complexity reduction; high compression ratio; image frame; image regions; image segmentation; interframe video coding; low bit rate coding; maximum search range; motion estimation algorithm; picture quality; variable block size; video telephony; Bit rate; Computational complexity; Discrete cosine transforms; Image coding; Image segmentation; Motion estimation; Redundancy; Telephony; Video coding; Video compression;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1997. ICASSP-97., 1997 IEEE International Conference on
Conference_Location :
Munich
ISSN :
1520-6149
Print_ISBN :
0-8186-7919-0
Type :
conf
DOI :
10.1109/ICASSP.1997.595457
Filename :
595457
Link To Document :
بازگشت