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• W2772331723 abstract "Current light field compression techniques lack robustness to handle both rate-distortion optimized motion compensation as well as latency during the encoding and decoding process. This paper focuses on a contribution approach that uses advanced frame prediction with affine and translational motion models and optimized view prediction structures. This method allows a significant compression performance gain over the current state of art of hierarchical temporal coding by 13.9%. The proposed method introduces an optimized encoding order that takes advantage of each group of pictures structure in order to leverage the dense perspective model of light field imagery. Both a global perspective model and a local affine model can be combined to show substantial distortion reduction at low processor costs. This contribution approach leads to an efficient and robust compression scheme for light field datasets." @default.
• W2772331723 created "2017-12-22" @default.
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• W2772331723 date "2017-10-01" @default.
• W2772331723 modified "2023-09-27" @default.
• W2772331723 title "An efficient compression scheme for the multi-camera light field image" @default.
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• W2772331723 doi "https://doi.org/10.1109/mmsp.2017.8122243" @default.
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