&lt;title&gt;Adaptive subband coding of full motion video&lt;/title&gt;

Sharifi, K.; Xiao, Leping; Leon-Garcia, Alberto

doi:10.1117/12.157897

Cited by 3 publications

(3 citation statements)

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“…• There are significant differences between the proposed DPCM scheme and the DPCM scheme that was previously used in the video compression context (such as those used in [19] and [6]). In their schemes, DPCM is applied over whole frames, whereas in ours it is used on blocks (partitioned pieces of a frame) of images.…”

Section: Introductionmentioning

confidence: 86%

“…To implement this comparison, each block must be coded twice (to find the two costs). To reduce the computational complexity, we employ a simple method, also used in [19], to identify the blocks which contain scene change and do the cost comparison only for them. In this method, the block difference for the k-th block of the m-th frame is defined as:…”

Section: Configuration Of the Proposed Video Compression Schemementioning

confidence: 99%

“…Spatial-frequency redundancy is often reduced by transform coding. Temporal redundancy is removed by coding the prediction error which is generated by motion compensation (MC) (such as MC/DCT used in the current digital video standard MPEG [11] and MC/Wavelet Transform in [22]) or DPCM (such as DPCM/Subband Coding in [19] and DPCM/Wavelet Transform in [6]) methods. In general, MC coders provide better performance; however, the common disadvantage of these coders is the excessive number of calculations required for motion estimation and compensation between any two consecutive frames.…”

Section: Introductionmentioning

confidence: 99%

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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: Introductionmentioning

confidence: 86%

Section: Configuration Of the Proposed Video Compression Schemementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Video Compression using Adaptive Wavelet Packets and DPCM

Hsu

Derin

1997

Video Data Compression for Multimedia Computing

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Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video

Sharifi

Leon-Garcia

1995

IEEE Trans. Circuits Syst. Video Technol.

491

199

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A subband decomposition scheme for video signals, in which the original or difference frames are each decomposed into 16 equal-size frequency subbands, is considered. Westerink et al. [4] have shown that the distribution of the sample values in each subband can be modeled with a "generalized Gaussian" probability density function (pdf) where three parameters, mean, variance, and shape are required to uniquely determine the pdf. To estimate the shape parameter, a series of statistical goodness-of-fit tests such as Kolmogorov-Smirnov or chi-squared tests have been used in [4]. A simple alternative method to estimate the shape parameter for the gencralizcd Gaussian pdf is proposed that significantly reduces the number of computations by eliminating the need for any statistical goodness-of-fit test. ~NTRODr'('7'10NSubband decomposition is used in video and image processing a\ a compression tool. The signal is decomposed into frequency wbbands and each subband is encoded independently. In ii lossy encoding scheme. the sample values in each subband. or their prediction errors after passing through a DPCM loop. are quantized. To design an appropriate quantizer, the distribution of the subband samples needs to be known [ I ] . It has been assumed that the probability density function of the subband values and their prediction errors is Lnp/uc,iarz [2], 131. While this assumption seems more valid for the prediction errors of the sample values. the Laplacian distribution cannot adequately model the distribution of sample values.Figs. 1 and 2 show the histograms of two subbands generated from the Flower sequence. The histogram of subband 2 of the original frame 1 and the histogram of subband 2 of the difference between frame 1 and frame 2 along with the Laplacian pdf's with the same mean and variance are shown, respectively. The mismatch between the test Laplacian pdf's and the actual histograms has also been observed for other test sequences.Westerink rf ci/. 141 have shown that the distribution of' the sample values in each subband can be modeled with a generalized Gaussian pdf where three parameters. namely. mean. variance. and shape. are required to uniquely specify the analytic pdf. In this paper. we propose :I simple method that enables us to tind the best shape parameter for the generalired Gaussian distribution that best tits the data of each subband.In Section II. the class of generalized Gausian pdf's as the best candidate for this purpose is presented. To determine the best shape parameter for generalized Gaussian pdf, a simple method is developed in Section 111. Section IV contains the simulation results and concluding remarks are presented in Section V. G~NERALIZED GALWAN PDFThe class of genrrrr1i:rd Gcrus.sitrri probability distribution functions has been used in 141 to model the distribution of the subband values of images. It has been shown that this class of pdYs can

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

Hsu

Derin

1995

SPIE Proceedings

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<title>Adaptive subband coding of full motion video</title>

Cited by 3 publications

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Video Compression using Adaptive Wavelet Packets and DPCM

Video Compression using Adaptive Wavelet Packets and DPCM

Estimation of shape parameter for generalized Gaussian distributions in subband decompositions of video

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

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