Title :
Rate-Distortion Optimized Video Coding Using Automatic Sprites
Author :
Krutz, Andreas ; Glantz, Alexander ; Frater, Michael ; Sikora, Thomas
Author_Institution :
Commun. Syst. Group, Tech. Univ. of Berlin, Berlin, Germany
Abstract :
Object-based video coding has been of interest for many years. Recent work by the authors has shown that a video coding system using background Sprites with automatic segmentation and background subtraction can indeed perform better than the H.264/AVC coder. In this paper, we extend this work by developing a rate-distortion optimization approach for an object-based coder. A key issue addressed by this approach is the joint choice of quantization parameters for the foreground and background. The performance of the resulting rate-distortion-optimized coder is far superior to that of H.264/AVC for source material with dominant global motion, across a range of bit rates.
Keywords :
video codecs; video coding; H.264/AVC coder; automatic sprites; object-based coder; object-based video coding; rate-distortion optimized video coding; rate-distortion-optimized coder; video coding system; Anisotropic magnetoresistance; Cameras; Encoding; Image edge detection; Object segmentation; Sprites (computer); Video coding; H.264/AVC; rate-distortion; sprite coding; video coding;
Journal_Title :
Selected Topics in Signal Processing, IEEE Journal of
DOI :
10.1109/JSTSP.2011.2166247