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A novel complexity reduction scheme for Multiview Video Coding (MVC) is presented that adaptively eliminates the less-probable Motion or Disparity Estimation (ME, DE) search directions and less-probable block coding modes. Based on their texture difference w.r.t. the current Macroblock, matching neighbors in the 3D-neighborhood (spatial, temporal, view domains) are identified. Our scheme employs a...
An adaptive power management of on-chip video memory for Multiview Video Coding is presented. It leverages texture, motion and disparity properties of objects and their correlations in the 3D-neighborhood. It groups different Macroblocks of a frame and predicts the highly-probable motion/disparity search direction in order to power-gate idle memory regions. Exploited are the statistical properties...
In this paper, we propose a novel scheme for dynamically reducing the computational complexity of MVC. Our scheme exploits the coding mode correlation available in the 3D-neighborhood (i.e., spatial, temporal, and view) along with the rate-distortion properties of the neighboring Macroblocks. Our scheme incorporates a multi-level mode decision process based on a mode-ranking mechanism that categorizes...
This paper presents a novel run-time adaptive energy-aware Motion and Disparity Estimation (ME, DE) architecture for Multiview Video Coding (MVC). It incorporates efficient memory access and data prefetching techniques for jointly reducing the on/off-chip memory energy consumption. A dynamically expanding search window is constructed at run time to reduce the off-chip memory accesses. Considering...
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