IEEE Trans Image Process - On dependent bit allocation for multiview image coding with depth-image-based rendering.

Tópicos

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Resumo

The encoding of both texture and depth maps of multiview images, captured by a set of spatially correlated cameras, is important for any 3-D visual communication system based on depth-image-based rendering (DIBR). In this paper, we address the problem of efficient bit allocation among texture and depth maps of multiview images. More specifically, suppose we are given a coding tool to encode texture and depth maps at the encoder and a view-synthesis tool to construct intermediate views at the decoder using neighboring encoded texture and depth maps. Our goal is to determine how to best select captured views for encoding and distribute available bits among texture and depth maps of selected coded views, such that the visual distortion of desired constructed views is minimized. First, in order to obtain at the encoder a low complexity estimate of the visual quality of a large number of desired synthesized views, we derive a cubic distortion model based on basic DIBR properties, whose parameters are obtained using only a small number of viewpoint samples. Then, we demonstrate that the optimal selection of coded views and quantization levels for corresponding texture and depth maps is equivalent to the shortest path in a specially constructed 3-D trellis. Finally, we show that, using the assumptions of monotonicity in the predictor's quantization level and distance, suboptimal solutions can be efficiently pruned from the feasible space during solution search. Experiments show that our proposed efficient selection of coded views and quantization levels for corresponding texture and depth maps outperforms an alternative scheme using constant quantization levels for all maps (commonly used in video standard implementations) by up to 1.5 dB. Moreover, the complexity of our scheme can be reduced by at least 80% over the full solution search.

Resumo Limpo

encod textur depth map multiview imag captur set spatial correl camera import d visual communic system base depthimagebas render dibr paper address problem effici bit alloc among textur depth map multiview imag specif suppos given code tool encod textur depth map encod viewsynthesi tool construct intermedi view decod use neighbor encod textur depth map goal determin best select captur view encod distribut avail bit among textur depth map select code view visual distort desir construct view minim first order obtain encod low complex estim visual qualiti larg number desir synthes view deriv cubic distort model base basic dibr properti whose paramet obtain use small number viewpoint sampl demonstr optim select code view quantiz level correspond textur depth map equival shortest path special construct d trelli final show use assumpt monoton predictor quantiz level distanc suboptim solut can effici prune feasibl space solut search experi show propos effici select code view quantiz level correspond textur depth map outperform altern scheme use constant quantiz level map common use video standard implement db moreov complex scheme can reduc least full solut search

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