DocumentCode
1943467
Title
CNN shape segmentation advantages in MPEG-4 simple profile encoding
Author
Koskinen, Lauri ; Paasio, Ari ; Halonen, Kari
Author_Institution
Electron. Circuit Design Lab., Helsinki Univ. of Technol., Espoo, Finland
Volume
2
fYear
2003
fDate
1-4 July 2003
Firstpage
117
Abstract
The MPEG-4 core profile offers content-based functionalities. It is shown here that content-based encoders also have advantages in simple profile coding. An intermediate phase of a cellular nonlinear network (CNN) shape segmentation algorithm indicates the area containing motion within a video frame. This information can be used to reduce the required computational power requirements of motion estimation. Depending on the amount of motion in an sequence significant savings in coded bits can be achieved without loss in subjective video quality. The number of computed SADs also shows considerable decrease. The method is simulated with full search and MVFAST but is motion estimation algorithm independent and has increased advantages in MPEG-4 AVC.
Keywords
image segmentation; motion estimation; video coding; CNN shape segmentation; MPEG-4 simple profile encoding; cellular nonlinear network; motion estimation algorithm; video quality; Cellular networks; Cellular neural networks; Computational complexity; Computational modeling; Electronic circuits; Encoding; Laboratories; MPEG 4 Standard; Shape; Video coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Its Applications, 2003. Proceedings. Seventh International Symposium on
Print_ISBN
0-7803-7946-2
Type
conf
DOI
10.1109/ISSPA.2003.1224829
Filename
1224829
Link To Document