Title :
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
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;
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
DOI :
10.1109/ICVGIP.2008.86
