The new video coding standard, High Efficiency Video coding (HEVC), achieves much higher coding efficiency than the state-of-the-art H.264. Transcoding H.264 video to HEVC video is important to enable gradual migratio...
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The new video coding standard, High Efficiency Video coding (HEVC), achieves much higher coding efficiency than the state-of-the-art H.264. Transcoding H.264 video to HEVC video is important to enable gradual migration to HEVC. Therefore, a fast H.264 to HEVC transcoding algorithm based on region feature analysis is proposed. First, each frame is segmented into three regions in units of coding tree unit (CTU) based on the correlation between image coding complexities and coding bits of the H.264 source stream. Then the searching depth range of each CTU is adaptively decided according to the region type. After that, motion vectors are de-noise filtered and clustered in order to analyze the region features of coding unit (CU). Based on the analysis results, the minimum searching depth of CU and partitions of prediction unit (PU) are optimally selected, and the motion vector predictor and search window size of motion estimation are also optimally decided for further reduction of the computational complexity. Experimental results show that the proposed algorithm achieves a significant improvement on transcoding speed, while maintaining high Rate-Distortion performance.
As an ongoing video compression standard, High Efficiency Video coding (HEVC) has achieved better rate distortion performance than H.264, but it also leads to enormous encoding complexity. In this paper, we propose a ...
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As an ongoing video compression standard, High Efficiency Video coding (HEVC) has achieved better rate distortion performance than H.264, but it also leads to enormous encoding complexity. In this paper, we propose a novel fast coding unit partition algorithm in the intra prediction of HEVC. Firstly, instead of the time-consuming rate distortion optimization for coding mode decision, just-noticeable-difference (JND) values can be exploited to partition the coding unit according to human visual system characteristics. Furthermore, coding bits in HEVC can also be considered as assisted information to refine the partition results. Compared with HEVC test model HM10.1, the experimental results show that the fast Ultra mode decision algorithm provides over 28% encoding time saving on average with comparable rate distortion performance.
The new generation video standard, i.e., High-efficiency Video coding (HEVC), shows a significantly improved efficiency relative to the last standard, i.e., H.264. However, the quad tree structured coding units (CUs),...
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The new generation video standard, i.e., High-efficiency Video coding (HEVC), shows a significantly improved efficiency relative to the last standard, i.e., H.264. However, the quad tree structured coding units (CUs), which are adopted in HEVC to improve compression efficiency, cause high computational complexity. In this study, a novel fast algorithm is proposed for CU partition in intra coding to reduce the computational complexity. A rough minimum depth prediction of the largest CU method and an early termination method for CU partition based on the total coding bits of the current CU are employed. Many approaches have been proposed to reduce the encoding complexity of HEVC, but these methods do not use the total coding bits of the current CU as the main basis for judgment to judge the CU complexity. Compared with the reference software HM16.6, the proposed algorithm reduces encoding time by 45% on average and achieves an approximately 1.1% increase in Bjntegaard delta bit rate and a negligible peak signal-to-noise ratio loss.
The authors propose a motion estimation (ME) algorithm fcr determining a motion vector which minimises the estimated total number of bits allocated to the motion vector and to the residual discrete cosine transform co...
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The authors propose a motion estimation (ME) algorithm fcr determining a motion vector which minimises the estimated total number of bits allocated to the motion vector and to the residual discrete cosine transform coefficients. This rate-optimised ME algorithm contributes to an improved reconstructed image quality and a reduced number of coding bits per frame.
Since the publication of the High Efficiency Video coding standard as the newest video coding standard, several extensions have been made. Among these, the use of the screen content coding in many fields is one of the...
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ISBN:
(纸本)9781479961399
Since the publication of the High Efficiency Video coding standard as the newest video coding standard, several extensions have been made. Among these, the use of the screen content coding in many fields is one of the important extensions. In terms of coding tree unit (CTU) partitioning, rate distortion optimization is still used in screen content coding. The complexity of the process has resulted in problems in relation to real-time application. Thus, this paper proposes a fast-deciding CTU partition mode algorithm based on entropy and coding bits. Experimental results show that the proposed algorithm can save 32% of encoding time on average compared with the default algorithm in HM-12.1+RExt-5.1 with only 0.8% bit rate increment in coding performance.
High Efficiency Video coding (HEVC or H.265), the latest international video coding standard, displays a 50% bit rate reduction with nearly equal quality and dramatically higher coding complexity compared with H.264. ...
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High Efficiency Video coding (HEVC or H.265), the latest international video coding standard, displays a 50% bit rate reduction with nearly equal quality and dramatically higher coding complexity compared with H.264. Unlike other fast algorithms, we first propose an algorithm that combines the CU coding bits with the reduction of unnecessary intra-prediction modes to decrease computational complexity. In this study, we first analyzed the statistical relationship between the best mode and the costs calculated through Rough Mode Decision (RMD) process and proposed an effective mode decision algorithm in intra-mode prediction process. We alleviated the computation difficulty by carrying out the RMD process in two stages, reducing 35 modes down to 11 modes in the first RMD process stage, and adding modes adjacent to the most promising modes selected during the first stage into the second RMD stage. After these two stages, we had two or three modes ready to be used in the rate distortion operation (RDO) process instead of the three or eight in the original HEVC process, which significantly reduced the number of unnecessary candidate modes in the RDO process. We then used the coding bits of the current coding unit (CU) as the main basis for judging its complexity and proposed an early termination method for CU partition based on the number of coding bits of the current CU. Experimental results show that the proposed fast algorithm provides an average time reduction rate of 53% compared to the reference HM-16.12, with only 1.7% Bjontegaard delta rate increase, which is acceptable for Rate-Distortion performance.
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