Graph-based representation for multiview image coding

摘要

In this paper, we propose a new representation for multiview image sets. Ourapproach relies on graphs to describe geometry information in a compact andcontrollable way. The links of the graph connect pixels in different images anddescribe the proximity between pixels in the 3D space. These connections aredependent on the geometry of the scene and provide the right amount ofinformation that is necessary for coding and reconstructing multiple views.This multiview image representation is very compact and adapts the transmittedgeometry information as a function of the complexity of the predictionperformed at the decoder side. To achieve this, our GBR adapts the accuracy ofthe geometry representation, in contrast with depth coding, which directlycompresses with losses the original geometry signal. We present the principlesof this graph-based representation (GBR) and we build a complete prototypecoding scheme for multiview images. Experimental results demonstrate thepotential of this new representation as compared to a depth-based approach. GBRcan achieve a gain of 2 dB in reconstructed quality over depth-based schemesoperating at similar rates.