Abstract
The High Efficiency Video Coding (HEVC) standard provides a substantial improvement in coding efficiency over previous video coding standards at the cost of a higher computational complexity. HEVC employs a quadtree based image structure by partitioning the image into coding units (CUs). Finding the optimal CU size in terms of rate-distortion is one of the most computationally challenging parts of any HEVC encoder. Previous works for fast CU size selection are usually based on data dependency between neighboring CUs and therefore limit the degree of possible parallelism. In this paper, we present a fast CU size selection method that does not depend on any data from other CUs in the same frame, thus allowing utilization of the high parallel processing capability of many-core processors, such as a GPU. Experimental results show that the proposed method incurs only a negligible loss in rate-distortion performance compared with counterpart methods that limit parallelism.
Published Version
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