DocumentCode
3060491
Title
Video Compression Scheme Using DEMD Based Texture Synthesis
Author
Jha, Mithilesh Kumar ; Lall, Brejesh ; Roy, Sumantra Dutta
Author_Institution
Dept. of Electr. Eng., Indian Inst. of Technol., Delhi, India
fYear
2011
fDate
15-17 Dec. 2011
Firstpage
90
Lastpage
93
Abstract
In this paper we present a video coding scheme based on texture synthesis through Directional Empirical Mode Decomposition (DEMD). In this scheme P and B-frames of the video sequence are decomposed and parametrically coded with the help of DEMD algorithm, while I-frames are coded with the help of H.264. All P and B frames are decomposed into Intrinsic Mode Function (IMF) image and its residue. Only the first level IMF image for P and B frames are coded. At decoder stage subsequent IMF images are synthesized with the help of correlation search. Wavelet decomposition is performed over residual image and energy level at the HH band is used as a decision criterion for number of decomposition to be performed for optimum synthesis. The experimental result demonstrates the effectiveness of the algorithm in multi-resolution parametric modeling of image data which can be efficiently coded to achieve significant compression with acceptable quality. This scheme also enables to perform scalable coding of IMF parameters to achieve higher compression with perceptual quality.
Keywords
correlation methods; decoding; image resolution; image sequences; image texture; video coding; wavelet transforms; B-frames; DEMD based texture synthesis; H.264 coding; I-frames; IMF image; P-frames; correlation search; decision criterion; decoder; directional empirical mode decomposition; intrinsic mode function image; multiresolution parametric modeling; perceptual quality; residual image; video coding scheme; video compression scheme; video sequence; wavelet decomposition; Correlation; Decoding; Image coding; Image reconstruction; Video coding; Video compression; Video sequences; Correlation Search; Directional Empirical Mode Decomposition (DEMD); Feature Value; Intrinsic Mode Functions (IMF); Texture Synthesis; Video Coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2011 Third National Conference on
Conference_Location
Hubli, Karnataka
Print_ISBN
978-1-4577-2102-1
Type
conf
DOI
10.1109/NCVPRIPG.2011.28
Filename
6133008
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