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Fast Motion Estimationaos Configuration Using Diamond Pattern And Ecu Cfm And Esd Modes For Reducing Hevc Computational Complexity
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Book Synopsis Fast Motion Estimation,Äôs Configuration Using Diamond Pattern and ECU, CFM, and ESD Modes for Reducing HEVC Computational Complexity by : Randa Khemiri
Download or read book Fast Motion Estimation,Äôs Configuration Using Diamond Pattern and ECU, CFM, and ESD Modes for Reducing HEVC Computational Complexity written by Randa Khemiri and published by . This book was released on 2020 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The high performance of the high efficiency video coding (HEVC) video standard makes it more suitable for high-definition resolutions. Nevertheless, this encoding performance is coupled with a tremendous encoding complexity compared to the earlier H264 video codec. The HEVC complexity is mainly a return to the motion estimation (ME) module that represents the important part of encoding time which makes several researches turn around the optimization of this module. Some works are interested in hardware solutions exploiting the parallel processing of FPGA, GPU, or other multicore architectures, and other works are focused on software optimizations by inducing fast mode decision algorithms. In this context, this article proposes a fast HEVC encoder configuration to speed up the encoding process. The fast configuration uses different options such as the early skip detection (ESD), the early CU termination (ECU), and the coded block flag (CBF) fast method (CFM) modes. Regarding the algorithm of ME, the diamond search (DS) is used in the encoding process through several video resolutions. A time saving around 46.75% is obtained with an acceptable distortion in terms of video quality and bitrate compared to the reference test model HM.16.2. Our contribution is compared to other works for better evaluation.
Book Synopsis Complexity-Aware High Efficiency Video Coding by : Guilherme Corrêa
Download or read book Complexity-Aware High Efficiency Video Coding written by Guilherme Corrêa and published by Springer. This book was released on 2015-12-29 with total page 246 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book discusses computational complexity of High Efficiency Video Coding (HEVC) encoders with coverage extending from the analysis of HEVC compression efficiency and computational complexity to the reduction and scaling of its encoding complexity. After an introduction to the topic and a review of the state-of-the-art research in the field, the authors provide a detailed analysis of the HEVC encoding tools compression efficiency and computational complexity. Readers will benefit from a set of algorithms for scaling the computational complexity of HEVC encoders, all of which take advantage from the flexibility of the frame partitioning structures allowed by the standard. The authors also provide a set of early termination methods based on data mining and machine learning techniques, which are able to reduce the computational complexity required to find the best frame partitioning structures. The applicability of the proposed methods is finally exemplified with an encoding time control system that employs the best complexity reduction and scaling methods presented throughout the book. The methods presented in this book are especially useful in power-constrained, portable multimedia devices to reduce energy consumption and to extend battery life. They can also be applied to portable and non-portable multimedia devices operating in real time with limited computational resources.
Book Synopsis Reducing HEVC Encoding Complexity Using Two-stage Motion Estimation by : Gabriel Cebrián-Márquez
Download or read book Reducing HEVC Encoding Complexity Using Two-stage Motion Estimation written by Gabriel Cebrián-Márquez and published by . This book was released on 2015 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Complexity Reduction of Motion Estimation in HEVC by : Jayesh Dubhashi
Download or read book Complexity Reduction of Motion Estimation in HEVC written by Jayesh Dubhashi and published by . This book was released on 2015 with total page 80 pages. Available in PDF, EPUB and Kindle. Book excerpt: The High Efficiency Video Coding (HEVC) standard is the latest video coding project developed by the Joint Collaborative Team on Video Coding (JCT-VC) which involves the International Telecommunication Unit (ITU-T) Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG) standardization organizations. The HEVC standard is an optimization of the previous standard H.264/AVC (Advanced Video coding) with the bit-rate reduction of about 50% at the same visual quality. The most complex and time consuming process in the HEVC encoding is the motion estimation. The process involves finding the best matching block in the current frame by comparing it with a reference frame. Unlike, H.264 which had fixed sized blocks, HEVC has variable sized blocks which reduce the number of bits required by certain blocks in the frame where there is no motion change. But still the process of finding the best match is very time consuming and imposes computational complexity. Various algorithms like three-step search, diamond search and square search have been developed to reduce the computational complexity of the motion estimation module. The complexity can be further reduced by using an early termination technique to end the search process once it reaches a certain threshold. In this thesis, an algorithm is proposed for early termination of the search points by calculating a threshold. The algorithm is based on the predicted motion vector and the sum of absolute differences of the predicted motion vector for the search points. It is observed that if the prediction to the starting point is precise, then it can be used to calculate a threshold value and if any search point goes below the threshold, it can be declared as the best match. The experimental results based on the proposed algorithm tested on various video sequences show a reduction of the encoding time by about 5% to 17% with negligible Peak Signal to Noise Ratio (PSNR) loss ( less than 1 dB) as compared to the existing algorithm. The algorithm is more efficient for SD and HD resolution videos. The bit-rate increase is from 2% to 13.8 %. Metrics like Bjontegaard (BD)-PSNR and BD-Bit-rate are also used.
