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Transform/quantization (T/Q) is one of the high complex modules in high efficiency video coding (HEVC). In this paper, all zero block (AZB) detection algorithm for HEVC is proposed to reduce the complexity of T/Q. The proposed AZB detection algorithm is based on the quantization level of the maximum transform coefficient, which is suitable for both uniform quantizer (UQ) and rate-distortion optimized...
The emerging high efficient video coding (HEVC) standard adopts quad-tree structure to partition the coding unit (CU) which is flexible and efficient. However, it causes enormous computational complexity. In this paper, a fast CU partitioning algorithm in the inter prediction of HEVC is proposed. Firstly, based on the visual saliency map detection, a fast CU partitioning depth prediction algorithm...
Variable transform block (TB) sizes cause high computational complexity at the HEVC encoder. In this paper, a fast residual quad-tree (RQT) structure decision method is proposed to reduce the number of candidate transform sizes. The proposed method uses spatial and temporal correlation information in the neighbor blocks to predict the depth of current RQT. In addition, an efficient all zero block...
Perceptual video coding has the potential to provide the same visual quality at a lower bit-rate, compared with the traditional objective quality based scheme. Visual saliency represents the probability of human attention over frames, and it is used for allocating coding bits or controlling visual quality. In this paper, a HEVC compliant perceptual video coding scheme is proposed based on visual saliency...
Like the previous video coding standard, DCT and quantization are also adopted in HEVC. Compared with H.264/AVC, HEVC employs larger transform blocks, which makes the all zero block detection algorithm designed for H.264/AVC inefficient for HEVC. An efficient all zero block detection algorithm aimed at HEVC, especially for 16×16 and 32×32 transform blocks, is proposed in this paper based on frequency...
High Efficient Video Coding (HEVC) adopts a quad-tree structure to partition the Coding Unit (CU). Each CU can be split into smaller CUs recursively. It achieves high coding efficiency. But it also dramatically increases the computational complexity. This paper proposes a fast coding unit depth decision algorithm for HEVC inter prediction which can provide better coding efficiency. The proposed algorithm...
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