IEEE Trans Image Process - Arbitrarily shaped motion prediction for depth video compression using arithmetic edge coding.

Tópicos

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Resumo

Depth image compression is important for compact representation of 3D visual data in texture-plus-depth format, where texture and depth maps from one or more viewpoints are encoded and transmitted. A decoder can then synthesize a freely chosen virtual view via depth-image-based rendering using nearby coded texture and depth maps as reference. Further, depth information can be used in other image processing applications beyond view synthesis, such as object identification, segmentation, and so on. In this paper, we leverage on the observation that neighboring pixels of similar depth have similar motion to efficiently encode depth video. Specifically, we divide a depth block containing two zones of distinct values (e.g., foreground and background) into two arbitrarily shaped regions (sub-blocks) along the dividing boundary before performing separate motion prediction (MP). While such arbitrarily shaped sub-block MP can lead to very small prediction residuals (resulting in few bits required for residual coding), it incurs an overhead to transmit the dividing boundaries for sub-block identification at decoder. To minimize this overhead, we first devise a scheme called arithmetic edge coding (AEC) to efficiently code boundaries that divide blocks into sub-blocks. Specifically, we propose to incorporate the boundary geometrical correlation in an adaptive arithmetic coder in the form of a statistical model. Then, we propose two optimization procedures to further improve the edge coding performance of AEC for a given depth image. The first procedure operates within a code block, and allows lossy compression of the detected block boundary to lower the cost of AEC, with an option to augment boundary depth pixel values matching the new boundary, given the augmented pixels do not adversely affect synthesized view distortion. The second procedure operates across code blocks, and systematically identifies blocks along an object contour that should be coded using sub-block MP via a rate-distortion optimized trellis. Experimental results show an average overall bitrate reduction of up to 33% over classical H.264/AVC.

Resumo Limpo

depth imag compress import compact represent d visual data textureplusdepth format textur depth map one viewpoint encod transmit decod can synthes freeli chosen virtual view via depthimagebas render use nearbi code textur depth map refer depth inform can use imag process applic beyond view synthesi object identif segment paper leverag observ neighbor pixel similar depth similar motion effici encod depth video specif divid depth block contain two zone distinct valu eg foreground background two arbitrarili shape region subblock along divid boundari perform separ motion predict mp arbitrarili shape subblock mp can lead small predict residu result bit requir residu code incur overhead transmit divid boundari subblock identif decod minim overhead first devis scheme call arithmet edg code aec effici code boundari divid block subblock specif propos incorpor boundari geometr correl adapt arithmet coder form statist model propos two optim procedur improv edg code perform aec given depth imag first procedur oper within code block allow lossi compress detect block boundari lower cost aec option augment boundari depth pixel valu match new boundari given augment pixel advers affect synthes view distort second procedur oper across code block systemat identifi block along object contour code use subblock mp via ratedistort optim trelli experiment result show averag overal bitrat reduct classic havc

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