Parametric Video Compression Scheme Using AR Based Texture Synthesis

Author

Khandelia, Aditya ; Gorecha, Saurabh ; Lall, Brejesh ; Chaudhury, Santanu ; Mathur, Mona

Author_Institution

Dept. of Electr. Eng., Indian Inst. of Technol., Delhi

fYear

2008

fDate

16-19 Dec. 2008

Firstpage

219

Lastpage

225

Abstract

In this paper a video coding scheme based on parametric compression of texture is proposed. Each macro block is characterized either as an edge block, or as a non edge block containing texture. The non edge blocks are coded by modeling them as an auto-regressive process (AR). By applying the AR model in spatio-temporal domain, we ensure both spatial as well as temporal consistency. Edge blocks are encoded using the standard H.264/AVC. The proposed algorithm achieves upto 54.52% more compression as compared to the standard H.264/AVC at similar visual quality.

Keywords

autoregressive processes; block codes; data compression; image texture; spatiotemporal phenomena; video coding; H.264/AVC standard; auto-regressive process; encoding; non edge block coding; parametric video compression scheme; spatio-temporal domain; texture synthesis; Automatic voltage control; Computational complexity; Computer vision; Decoding; Image coding; Redundancy; Synthesizers; Video coding; Video compression; Yarn; Auto Regressive; Parametric; Texture; Texture Synthesis; Video Compression;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer Vision, Graphics & Image Processing, 2008. ICVGIP '08. Sixth Indian Conference on

Conference_Location

Bhubaneswar

Print_ISBN

978-0-7695-3476-3

Electronic_ISBN

978-0-7695-3476-3

Type

conf

DOI

10.1109/ICVGIP.2008.86

Filename

4756074