Video syntactic coding optimization

Author

Itzikowitz, S. ; Sheraizin, S.

Author_Institution

Comput. Sci. Dept., Coll. of Manage., Israel

Volume

2

fYear

2003

fDate

18-20 Sept. 2003

Firstpage

804

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis, 2003. ISPA 2003. Proceedings of the 3rd International Symposium on

Print_ISBN

953-184-061-X

Type

conf

DOI

10.1109/ISPA.2003.1296387

Filename

1296387