000192797 001__ 192797
000192797 005__ 20181203023348.0
000192797 0247_ $$2doi$$a10.1109/Tip.2015.2400817
000192797 022__ $$a1057-7149
000192797 02470 $$2ISI$$a000351463700003
000192797 037__ $$aARTICLE
000192797 245__ $$aGraph-based representation for multiview image geometry
000192797 269__ $$a2015
000192797 260__ $$bInstitute of Electrical and Electronics Engineers$$c2015
000192797 336__ $$aJournal Articles
000192797 520__ $$aIn this paper, we propose a new representation for multiview image sets. Our approach relies on graphs to describe geometry information in a compact and controllable way. The links of the graph connect pixels in different images and describe the proximity between pixels in the 3D space. These connections are dependent on the geometry of the scene and provide the right amount of information that is necessary for coding and reconstructing multiple views. This multiview image representation is very compact and adapts the transmitted geometry information as a function of the complexity of the prediction performed at the decoder side. To achieve this, our GBR adapts the accuracy of the geometry representation, in contrast with depth coding, which directly compresses with losses the original geometry signal. We present the principles of this graph-based representation (GBR) and we build a complete prototype coding scheme for multiview images. Experimental results demonstrate the potential of this new representation as compared to a depth-based approach. GBR can achieve a gain of 2 dB in reconstructed quality over depth-based schemes operating at similar rates.
000192797 6531_ $$aMultiview image coding
000192797 6531_ $$a3D representation
000192797 6531_ $$aview prediction
000192797 6531_ $$agraph-based representation
000192797 700__ $$0244422$$g206186$$aMaugey, Thomas
000192797 700__ $$aOrtega, Antonio
000192797 700__ $$aFrossard, Pascal$$g101475$$0241061
000192797 773__ $$j24$$tIEEE Transactions on Image Processing$$k5$$q1573-1586
000192797 8564_ $$uhttp://arxiv.org/abs/1312.6090$$zURL
000192797 8564_ $$uhttps://infoscience.epfl.ch/record/192797/files/tip2015.pdf$$zn/a$$s4047303$$yn/a
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000192797 937__ $$aEPFL-ARTICLE-192797
000192797 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000192797 980__ $$aARTICLE