Wavelet-based multi-view video coding with full scalability and illumination compensation
Proceedings of the 15th international conference on Multimedia
Perceptual distortion metric for stereo video quality evaluation
WSEAS Transactions on Signal Processing
3D-TV: coding of disocclusions for 2D+depth representation of multi-view images
CGIM '08 Proceedings of the Tenth IASTED International Conference on Computer Graphics and Imaging
A novel multi-view image coding scheme based on view-warping and 3D-DCT
Journal of Visual Communication and Image Representation
RD-optimized interactive streaming of multiview video with multiple encodings
Journal of Visual Communication and Image Representation
A joint multi-view plus depth image coding scheme based on 3D-warping
Proceedings of the 1st international workshop on 3D video processing
Distortion estimates for adaptive lifting transforms with noise
Image and Vision Computing
Efficient compression and network adaptive video coding for distributed video surveillance
Multimedia Tools and Applications
Poly-DWT: Polymorphic wavelet hardware support for dynamic image compression
ACM Transactions on Embedded Computing Systems (TECS)
The construction of wavelets adapted to compact domains
Advances in Computational Mathematics
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The conventional multiview video coding (MVC) schemes, utilizing both neighboring temporal frames and view frames as possible references, have only shown a slight gain over those using temporal frames alone in terms of coding efficiency. The reason for this is that the neighboring temporal frames exhibit stronger correlation with the current frame and the view frames often fail to be selected as references. This paper proposes an elegant MVC framework using high dimensional wavelet, which rightly matches the inherent high dimension property of multiview video. It also makes a better usage of both temporal and view correlations thanks to the hierarchical decomposition. Besides the proposed framework, this paper also investigates MVC coding from the following aspects. First, a disparity-compensated view filter (DCVF) with pixel alignment is proposed, which can accommodate both global and local view disparities among view frames. The proposed DCVF and the existing motion-compensated temporal filter (MCTF) unify the view and temporal decompositions as a generic lifting transform. Second, an adaptive decomposition structure based on the analysis of the temporal and view correlations is proposed. A Lagrangian cost function is derived to determine the optimum decomposition structure. Third, the major components of the proposed MVC coding are figured out, including macroblock type design, subband coefficient coding, and rate allocation. Extensive experiments are carried out on the MPEG 3DAV test sequences and the superior performance of the proposed MVC coding is demonstrated. In addition, the proposed MVC framework can easily support temporal, spatial, SNR, as well as view scalabilities