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 :
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