Title :
Video syntactic coding optimization
Author :
Itzikowitz, S. ; Sheraizin, S.
Author_Institution :
Comput. Sci. Dept., Coll. of Manage., Israel
Abstract :
In this paper we describe the video syntactic coding principles based on picture sequence set-theoretical presentation using the picture visual perception features. The syntactic coding provides a low data video presentation which is generally visual lossless for the human eye. The syntactic coding algorithm includes an estimation of the visual perception threshold, analysis of picture parameters, classification (clustering) of the picture detail set and detail parameters control for visual lossless picture data reduction based on video stream adaptive processing. The saved bit volume can be targeted to optimal adaptive picture quality enhancement up to natural visibility creation or for higher video data compression. The received experimental results are discussed.
Keywords :
data compression; image classification; image enhancement; image sequences; optimisation; set theory; video coding; adaptive picture quality enhancement; bit volume; data video presentation; human eye; human visual system; natural visibility; picture classification; picture clustering; picture parameter analysis; picture sequence set-theoretical presentation; picture visual perception feature; video data compression; video metric; video stream adaptive processing; video syntactic coding optimization; visual lossless picture data reduction; visual perception threshold; Data compression; Degradation; Humans; Image coding; Image quality; Image restoration; Streaming media; Video compression; Visual perception; Visual system;
Conference_Titel :
Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on
Print_ISBN :
953-184-061-X
DOI :
10.1109/ISPA.2003.1296387
