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AVS2 is the new generation of video coding standard developed by the Audio Video Coding Standard Working Group of China. In analogies to HEVC/H.265, a more flexible CU (coding unit), PU (prediction unit) and TU (transform unit) based coding structure is adopted to represent and organize the coding data. For intra coding, AVS2 adopts quad tree based partition coding structure on CU level, and one CU...
In High Efficiency Video Coding (HEVC), a quad-tree based Coding Unit (CU) partitioning scheme is employed, achieving a substantial improvement in coding efficiency compared with previous standards. The superior coding efficiency of HEVC is achieved at the expense of greatly increased complexity. A fast intra coding scheme consisting of fast CU depth decision and fast prediction mode decision is proposed...
The second generation Audio-video Coding Standard (AVS2) is the latest video standard currently under the development of Audio-video Coding Standard (AVS) Workgroup of China for achieving higher coding efficiency than previous (AVS1). In intra luminance prediction of AVS2, the AVS2 video encoder has to compute the rate-distortion optimization (RDO) of 9 selected candidate prediction modes in order...
With the quad-tree based coding structure and more flexible intramodes, the coding efficiency provided by intra-technique in interframes of HEVC is much higher than the preceding standard H.264/AVC. However, the computing complexity is also significantly increased. Although only a few CUs are encoded as intra-mode in inter-frames finally, almost all CUs need to be checked all the intra-options to...
Compared with H.264, High Efficient Video Coding (HEVC) improves the coding efficiency by 50% at the price of significant increase in encoding time, due to Rate Distortion Optimization (RDO) on large variations of block sizes and prediction modes. In this paper, a fast intra coding algorithm is proposed to alleviate the high computational complexity of HEVC intra-frame coding. The proposed algorithm...
The Bayes coding algorithm for the tree model class is an effective method calculating the prediction probability of appearing symbol at the next time point from the past data under the Bayes criterion. The Bayes optimal prediction is given by the mixture of all models in a given model class, and the Bayes coding algorithm gives an efficient way to calculate a coding probability. This algorithm is...
Recently standardized by the Joint Video Team (JVT) of ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Picture Experts Group (MPEG), the High Efficiency Video Coding (HEVC) was adopted to replace the H264/AVC with better compression performance that facilitates video transmission and storage while maintaining the same reconstructed video quality. This excellent coding efficiency is performed...
3D-HEVC, as the extension of High Efficiency Video Coding standard, achieves a significant improvement in the coding efficiency of 3D videos, compared with the Multi-View Video Coding (MVC). However the improvement causes a great computational complexity. In this paper, a fast coding parameters decision algorithm is proposed to reduce the computational complexity. The process of the selection of Coding...
High Efficiency Video Coding (HEVC) achieves the most significant coding efficiency compared with all the existing video coding standards. However, the Intra encoding complexity is increased dramatically since the complex recursive search algorithm for the coding unit (CU) size decisions. In this paper, a fast CU size decision algorithm based on Support Vector Machines (SVM) is proposed to further...
This paper presents a complexity analysis of 3D High Efficiency Video Coding (3D-HEVC) depth maps intra prediction. The 3D-HEVC inserts new coding tools in depth maps intra prediction such as Depth Intra Skip (DIS), Depth Modeling Modes (DMMs) and Segment-wise DC (SDC). Therefore, it is important to understand the complexity of each module to allow the design of new complexity reduction techniques...
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...
In this paper, a saliency aware fast intra coding algorithm for HEVC is proposed consists of perceptual intra coding and fast intra prediction mode decision algorithm. Firstly, based on the visual saliency detection, an adaptive CU splitting method is proposed to reduce intra encoding complexity. Furthermore, quantization parameter is adaptively adjusted at the CU level according to the relative importance...
HEVC (high efficiency video coding), as the latest video coding standard, is more efficient than H.264/AVC, nevertheless it also brings in a very high computational complexity. To reduce the time of CU (coding unit) splitting or PU (prediction unit) mode deciding, a fast algorithm based on ANN (artificial neural network) and texture analysis is proposed in this paper. First, we acquire and then label...
The latest High Efficiency Video Coding (HEVC) standard offers higher performance than existing video coding standards - up to 50% bit-rate reduction at the equal perceptual quality, but with a significant encoder complexity increase. With regard to intra prediction, a set of 35 intra prediction modes is defined in HEVC to enhance the intra coding performance. However, the high complexity makes it...
The video coding standard, H.264/MPEG-4 AVC, uses variable block sizes in intra coding. This feature has achieved significant coding gain compared to coding a macroblock (MB) using fixed block size. However, this feature results in extremely high computational complexity when brute force rate distortion optimization (RDO) algorithm is used. In this paper, we propose an Efficient Intra Block Size Decision...
This paper presents architectures for user defined floating point add subtract unit with modified leading Zero Anticipator (LZA). In floating point addition unit, adder and normalization unit decides critical path delay. Predicting the shift amount before the adder output helps in reducing the delay introduced by the normalization. Most of the available algorithms are inexact in nature. They predict...
In HEVC, prediction mode decision is essential for efficient coding in applications. While many fast algorithms have been designed to reduce the candidate modes, the features of scene switch frames have seldom been considered. These frames usually have no relationship with the previous frames. Thus, intra modes should be used. In this paper, we propose a simple and efficient Hash-based algorithm....
The 3D High Efficiency Video Coding (3D-HEVC) is the latest 3D extension of the HEVC video coding standard. It supports multi-view videos plus depth (MVD), which is a sophisticated format for enhanced 3D content. Depth modeling modes (DMM) are adopted in the 3D-HEVC for better sharp edge encoding. However, employing DMM causes important computational complexity. In this paper, we propose a new method...
The Biological sequence data are increasing rapidly, so there is a vital need of effective method for gene detection. Predicting of splice site is an important part of gene finding. Therefore, attempts to improve the prediction accuracy of the computational methods for splice sites detection continue. In this paper we propose a hybrid algorithm for splice sites prediction by combining AdaBoost classifier...
This paper proposes the texture-based coding unit (CU) size decision (TBCUD) algorithm that includes texture-based block partitioning. While the existing algorithm calculates every CU size, the proposed algorithm only considers the determined CU sizes that are decided by the texture of the image. Because the prediction is performed by the prediction unit (PU) derived from CU, the proposed algorithm...
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