&lt;title&gt;Video compression using adaptive wavelet packet and DPCM&lt;/title&gt;

Hsu, Wei-Lien; Derin, Haluk

doi:10.1117/12.228225

Cited by 5 publications

(1 citation statement)

References 18 publications

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“…Once again, due to a judicious choice of initial A value, this iterative search for the best A and consequently the optimum overall decomposition does not take more than a few steps. We presented an early version of this video coding algorithm in [9). The optimum rate-constrained video coding algorithm described above can be summarized as follows:…”

Section: Rate-constrained Video Coding Using Adaptive Wavelet Packet mentioning

confidence: 99%

Video Compression using Adaptive Wavelet Packets and DPCM

Hsu

Derin

1997

Video Data Compression for Multimedia Computing

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This paper presents a video compression algorithm based on the adaptive wavelet packet decomposition and DPCM methods, in which, motion compensation is not used explicitly, but the effects of motion are accounted for through the low-high temporal subbanding and the DPCM procedure. The coefficients of high temporal subbands, initiallowpass sub bands and the difference of low subbands from the DPCM loop are decomposed by adaptive wavelet packets based on a rate-distortion criterion, such that the subbands of the wavelet packets are efficiently quantized by a hybrid Scalar/Pyramidal Lattice Vector quantizer. We implement two versions of the proposed coding scheme based on a rate constraint and a quality (distortion) constraint. When the rate is constrained, all frames in a "group" are processed as a unit; our objective then is to minimize the overall distortion under the rate constraint specified for that group of frames. When quality constraint is imposed, pairs of frames are sequentially encoded; our goal in this case is to ensure that the distortion in each pair of frames remains below a prespecified value and to achieve this with a minimum bit rate used to represent that pair of frames. The results of the proposed algorithm compare favorably with those of 3D subband coding and traditional motion compensated video coding techniques. Although the encoding computational complexity of this scheme is higher than that of the existing 3D subband method, it is suitable for parallel implementation.

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Section: Rate-constrained Video Coding Using Adaptive Wavelet Packet mentioning

confidence: 99%

Video Compression using Adaptive Wavelet Packets and DPCM

Hsu

Derin

1997

Video Data Compression for Multimedia Computing

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Parallel adaptive wavelet analysis

Kutil

Uhl

2001

Future Generation Computer Systems

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Adapted wavelet analysis in the sense of wavelet packet algorithms is a highly relevant procedure in different types of applications, like, e.g. data compression, feature extraction, classification problems, data analysis, numerical mathematics, etc. Given a large or high-dimensional data set the computational demand is too high for interactive or "nearly-interactive" processing. Therefore, parallel processing is one of the possibilities to accelerate the processing speed. In this case, special attention has to be paid towards handling of the large amount of data in addition to the proper organization of the computations. We investigate different data decomposition approaches, border handling techniques and programming paradigms. The memory consuming decomposition into a given arbitrary basis after adaptive basis choice is resolved by a localized decomposition strategy.

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Motion-compensated wavelet packet zerotree video coding on multicomputers

Feil

Uhl

2003

Journal of Systems Architecture

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<title>Video compression using adaptive wavelet packet and DPCM</title>

Cited by 5 publications

References 18 publications

Video Compression using Adaptive Wavelet Packets and DPCM

Video Compression using Adaptive Wavelet Packets and DPCM

Parallel adaptive wavelet analysis

Motion-compensated wavelet packet zerotree video coding on multicomputers

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