Video residual coding using SPIHT and dependent optimization

Lin, K.K.; Gray, Robert M.

doi:10.1109/dcc.2001.917142

Cited by 7 publications

(3 citation statements)

References 6 publications

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“…To encode the 4-D DWT coefficients, the SPIHT algorithm is applied two-dimensionally for each of the subband images. It is further modified to work in a block-wise manner, similar to [15], for exploitation of local statistics as well as better random access support. Note that although the coefficients are coded together within each block, the intra-view wavelet transform is performed on the entire image.…”

Section: Coefficient Codingmentioning

confidence: 99%

Light field compression using disparity-compensated lifting

Girod

Chang

Ramanathan

et al. 2003

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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We propose a novel approach for light field compression that incorporates disparity compensation into 4-D wavelet coding using disparity-compensated lifting. With this approach, we obtain the benefits of wavelet coding, including compression efficiency and scalability in all dimensions. Additionally, our proposed approach solves the irreversibility limitations of previous wavelet coding approaches. Experimental results show that the compression efficiency of the proposed technique outperforms current state-of-theart wavelet coding techniques by a wide margin.

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Section: Coefficient Codingmentioning

confidence: 99%

Light field compression using disparity-compensated lifting

Girod

Chang

Ramanathan

et al. 2003

2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698)

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“…Kim and Pearlman proposed 3D-SPIHT at the bit-rates of 30-60 kbits/s [10]. Lin and Gray proposed video residual coding based on SPIHT that applied Lagrangian optimization to the SPIHT encoder to achieve better rate-distortion performance than H.263 [11]. Although SPIHT coding is effective for images, however, it is still less efficient in representing block based motion-compensated residuals that have arbitrarily dispersed energy distributions in each prediction frame.…”

Section: Introductionmentioning

confidence: 99%

Low-rate video coding with block reordering in wavelet domain

Chang

2004

SPIE Proceedings

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In this paper, we present a novel energy compaction method, the selective block reordering, which is used with SPIHT (SBR-SPIHT) coding for low rate video coding to enhance the coding efficiency for motion-compensated residuals. The inter-frame coding basically includes three major parts -motion estimation, motion compensation, and motion-compensated residual coding. The motion estimation and overlapped block motion compensation (OBMC) methods of H.263 are used to reduce the temporal redundancy. The motion-compensated residuals are encoded in the wavelet domain. The block-mapping reorganization utilizes the wavelet zerotree relationship that jointly presents the wavelet coefficients from the lowest subband to high frequency subbands at the same spatial location, and allocates each wavelet tree with all descendents to form a wavelet block. The block reordering based on the threshold scan rearranges the significant blocks in the descending order of the energy. Then, the block reordering technique reorders the wavelet sub-blocks recrusively, according to the energy of each sub-block, to yield the maximum energy compaction that allows the SPIHT coding to operate efficiently on the motion-compensated residuals. Simulation results demonstrate that SBR-SPIHT outperforms H.263 by 1.28~0.69 dB on average for various video sequences at very low bit-rates, ranging from 48 to 10 kbps.

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“…It is further modified to work in a block-wise manner, similar to [15], for exploitation of local statistics as well as better random access support. Note that although the coefficients are coded together within each block, the intra-view wavelet transform is performed on the entire image.…”

Section: Coefficient Codingmentioning

confidence: 99%