Jens-Uwe Garbas, U. Fecker, Tobias Tröger, André Kaup
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4D Scalable Multi-View Video Coding Using Disparity Compensated View Filtering and Motion Compensated Temporal Filtering
In this paper, a novel framework for scalable multi-view video coding is described. A well known wavelet based scalable coding scheme for single-view video sequences has been adopted and extended to match the specific needs of scalable multi-view video coding. Motion compensated temporal filtering (MCTF) is applied to each video sequence of each camera. The use of a wavelet lifting structure guarantees perfect invertibility of this step, and as a consequence of its open-loop architecture, SNR and temporal scalability are attained. Correlations between the temporal subbands of adjacent cameras are reduced by a novel disparity compensated view filtering (DCVF), method which is also lifting based and open-loop to enable view scalability. Spatial scalability and entropy coding are achieved by the JPEG2000 spatial wavelet transform and EBCOT coding, respectively. Rate allocation along the temporal-view-filtered subbands is done by means of an RD-optimal algorithm. Experimental results show the high scaling capability in terms of SNR, temporal and view scalability
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