Optimized Anisotropic Spatial Transforms for Wavelet-Based Scalable Multi-View Video Coding
Garbas JU, Pesquet-Popescu B, Kaup A (2009)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution, Conference Contribution
Publication year: 2009
Book Volume: 7257
Article Number: 72571U
Event location: San Jose, CA
DOI: 10.1117/12.807250
Abstract
A 4-D wavelet-based transform is used for efficient and scalable compression of multi-view video data. It is composed of a 1-D temporal wavelet transform, namely Motion Compensated Temporal Filtering (MCTF), a 1-D view-directional wavelet transform, namely Disparity Compensated View Filtering (DCVF), and a 2-D spatial transform. The latter is the subject of study in this paper. Whereas usually fixed isotropic wavelet or wavelet packet transforms have been used in the past for the spatial decomposition of the temporal-view- directional highpass bands, we now introduce the usage of adaptive anisotropic wavelet packet transforms as a generalization of wavelet and wavelet packet transforms. An efficient algorithm to adaptively find the rate-distortion optimal joint anisotropic basis for temporal-view-directional multi-view video subbands is derived. It is shown that the adaptive anisotropic transform performs best, compared with conventional wavelet or wavelet packet transforms. © 2009 SPIE-IS&T.
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APA:
Garbas, J.-U., Pesquet-Popescu, B., & Kaup, A. (2009). Optimized Anisotropic Spatial Transforms for Wavelet-Based Scalable Multi-View Video Coding. In Proceedings of the Visual Communications and Image Processing 2009. San Jose, CA, US.
MLA:
Garbas, Jens-Uwe, Béatrice Pesquet-Popescu, and André Kaup. "Optimized Anisotropic Spatial Transforms for Wavelet-Based Scalable Multi-View Video Coding." Proceedings of the Visual Communications and Image Processing 2009, San Jose, CA 2009.
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