A scalable motion-compensated subband image coder

The existing and standardized solutions for spatial scalability are not satisfactory, therefore new approaches are very actively explored recently. The goal of this paper is to improve spatial scalability of MPEG-2 for progressive video. In order to avoid problems with too large bitstreams of the base layer produced by some of the hitherto proposed spatially scalable coders, spatio-temporal scalability is proposed for video compression systems. It is assumed that a coder produces two bitstreams, where the base-layer bitstream corresponds to pictures with reduced both spatial and temporal resolution while the enhancement layer bitstream is used to transmit the information needed to retrieve images with full spatial and temporal resolution. In the base layer, temporal resolution reduction is obtained by B-frame data partitioning, i.e., by placing each second frame (B-frame) in the enhancement layer. Subband (wavelet) analysis is used to provide spatial decomposition of the signal. Full compatibility with the MPEG-2 standard is ensured in the base layer. As compared to single-layer MPEG-2 encoding at bit rates below 6 Mbits/s, the bitrate overhead for scalability is less than 15% in most cases.Index Terms-MPEG-2, spatial scalability, subband analysis, temporal scalability, video coding.

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“…The latter will be used here, because some experimental results show that it is more efficient [7], [8], [10].…”

Section: Spatio-temporal Scalabilitymentioning

confidence: 99%

Spatio-temporal scalability for MPEG video coding

Domański

Luczak

Maćkowiak

2000

IEEE Trans. Circuits Syst. Video Technol.

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“…The proposed coder is well suited for medium and high bit-rate applications such as HDTV and provides an easy conversion between different video coding standards. But subband decomposition is a space variant process [12]. Thus, a translational motion between two consecutive frames may not be translated into a translational motion between two consecutive wavelet transformed frames.…”

Section: Significance-linked Connected Component Analysismentioning

confidence: 99%

Significance-linked connected component analysis for very low bit-rate wavelet video coding

Vass

Chai²,

Palaniappan³

et al. 1999

IEEE Trans. Circuits Syst. Video Technol.

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In recent years, a tremendous success in wavelet image coding has been achieved. It is mainly attributed to innovative strategies for data organization and representation of wavelet-transformed images. However, there have been only a few successful attempts in wavelet video coding. The most successful is perhaps Sarnoff Corp.'s zerotree entropy (ZTE) video coder. In this paper, a novel hybrid wavelet video coding algorithm termed video significance-linked connected component analysis (VSLCCA) is developed for very low bit-rate applications. There also has been empirical evidence that wavelet transform combined with those innovative data organization and representation strategies can be an invaluable asset in very low bit-rate video coding as long as motion compensated error frames are ensured to be free of blocking effect or coherent.In the proposed VSLCCA codec, first, fine-tuned motion estimation based on the H.263 Recommendation is developed to reduce temporal redundancy, and exhaustive overlapped block motion compensation is utilized to ensure coherency in motion compensated error frames. Second, wavelet transform is applied to each coherent motion compensated error frame to attain global energy compaction. Third, significant fields of wavelettransformed error frames are organized and represented as significance-linked connected components so that both the withinsubband clustering and the cross-scale dependency are exploited. Last, the horizontal and vertical components of motion vectors are encoded separately using adaptive arithmetic coding while significant wavelet coefficients are encoded in bit-plane order by using high order Markov source modeling and adaptive arithmetic coding.Experimental results on eight standard MPEG-4 test sequences show that for intraframe coding, on average the proposed codec exceeds H.263 and ZTE in peak signal-to-noise ratio by as much as 2.07 and 1.38 dB at 28 kbits, respectively. For entire sequence coding, VSLCCA is superior to H.263 and ZTE by 0.35 and 0.71 dB on average, respectively.

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“…Secondgeneration 3D wavelet/subband video coders attempt to couple wavelet and motion compensation (MC) in a more sophisticated fashion. Based on the order of performing spatial and temporal filtering, we classify second-generation coders into two categories: 3D motion-compensated subband coding [4,6,11] (temporal filtering followed by spatial transform) and overcomplete motion compensated wavelet coding (OMCWC) [13,14,20,28,31,37,38] (spatial transform followed by temporal filtering).…”

Section: Introductionmentioning

confidence: 99%

Scalable video compression via overcomplete motion compensated wavelet coding

2004

Signal Processing: Image Communication

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A scalable motion-compensated subband image coder

Cited by 24 publications

References 9 publications

Spatio-temporal scalability for MPEG video coding

Spatio-temporal scalability for MPEG video coding

Significance-linked connected component analysis for very low bit-rate wavelet video coding

Scalable video compression via overcomplete motion compensated wavelet coding

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