Paper Info
Title
Multiresolution, perceptual and vector quantization based video codec
Abstract
This paper presents a novel Multiresolution, Perceptual and Vector Quantization (MPVQ) based video coding scheme. In the intra-frame mode of operation, a wavelet transform is applied to the input frame and decorrelates it into its frequency subbands. The coefficients in each detail subband are pixel quantized using a uniform quantization factor divided by the perceptual weighting factor of that subband. The quantized coefficients are finally coded using a quadtree-coding algorithm. Perceptual weights are specifically calculated for the centre of each detail subband. In the inter-frame mode of operation, a Displaced Frame Difference (DFD) is first generated using an overlapped block motion estimation/compensation technique. A wavelet transform is then applied on the DFD and converts it into its frequency subbands. The detail subbands are finally vector quantized using an Adaptive Vector Quantization (AVQ) scheme. To evaluate the performance of the proposed codec, the proposed codec and the adaptive subband vector quantization coding scheme (ASVQ), which has been shown to outperform H.263 at all bitrates, were applied to six test sequences. Experimental results indicate that the proposed codec outperforms the ASVQ subjectively and objectively at all bit rates.
Year
DOI
Venue
2012
10.1007/s11042-011-0752-y
Multimedia Tools Appl.
Keywords
Field
DocType
Perceptual weights,Wavelet transforms,Vector quantization and video codec
Computer vision,Pattern recognition,Computer science,Multiresolution analysis,Coding (social sciences),Vector quantization,Artificial intelligence,Pixel,Quantization (physics),Motion estimation,Codec,Wavelet transform
Journal
Volume
Issue
ISSN
58
3
1380-7501
Citations 
PageRank 
References 
0
0.34
13
Authors
4
Name
Order
Citations
PageRank
Akbar Sheikh Akbari1105.25
Pooneh Bagheri Zadeh263.86
Tom Buggy3134.33
John Soraghan421.07