Improvisation in HEVC Performance by Weighted Entropy Encoding Technique
01 Jan 2018-pp 177-185
TL;DR: This paper presents an improvisation technique; weighted encoding for High Efficiency Video Coding (HEVC), which optimizes the spatial and temporal redundancy during the motion compensation by the optimal choice of code block.
Abstract: Now a day multimedia applications are growing rapidly and at the same time the volume of video transactions is raising exponentially This demands an efficient technique to encode the video and to reduce the congestion in the transmission channel This paper presents an improvisation technique; weighted encoding for High Efficiency Video Coding (HEVC) This method optimizes the spatial and temporal redundancy during the motion compensation by the optimal choice of code block The blocks are chosen on the basis of weights- assigned to it using the firefly algorithm On encoding it reduces the size of the video with perceptually better quality video or Peak Signal to Noise Ratio (PSNR)
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TL;DR: The pixel variations under varying frames are clustered based on the interestingness and the outliers are removed using an advanced entropy principle called as holoentropy and the quality of the video is preserved more than the conventional encoding for increased compression ratios.
Abstract: This paper proposes a novel clustered entropy encoding scheme for high efficient computing systems for distributed video coding. As an exemplary system, high-efficiency video coding (HEVC) standard has been considered in this paper. The encoding process in HEVC system is performed using traditional entropy formula. While processing high resolution video sequences, it requires substantial improvement. To meet the requirement, this paper introduces clustered entropy computing, which distinguishes the video information has useful outliers. The pixel variations under varying frames are clustered based on the interestingness and the outliers are removed using an advanced entropy principle called as holoentropy. The proposed encoding scheme is adopted in the HEVC and the simulations are carried out. Experiments are conducted using eight benchmark video sequences and the statistical metrics such as mean, median, min, max and deviation measures are considered for investigating the PSNR versus compression ratio. In addition to this, the computational time is calculated for the best selection of the method. The experimental results show that the quality of the video is preserved more than the conventional encoding for increased compression ratios.
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TL;DR: The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality.
Abstract: High Efficiency Video Coding (HEVC) is currently being prepared as the newest video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality. This paper provides an overview of the technical features and characteristics of the HEVC standard.
7,383 citations
TL;DR: Overall, the complexity of HEVC decoders does not appear to be significantly different from that of H.264/AVC decoder; this makes HEVC decoding in software very practical on current hardware.
Abstract: Advances in video compression technology have been driven by ever-increasing processing power available in software and hardware. The emerging High Efficiency Video Coding (HEVC) standard aims to provide a doubling in coding efficiency with respect to the H.264/AVC high profile, delivering the same video quality at half the bit rate. In this paper, complexity-related aspects that were considered in the standardization process are described. Furthermore, profiling of reference software and optimized software gives an indication of where HEVC may be more complex than its predecessors and where it may be simpler. Overall, the complexity of HEVC decoders does not appear to be significantly different from that of H.264/AVC decoders; this makes HEVC decoding in software very practical on current hardware. HEVC encoders are expected to be several times more complex than H.264/AVC encoders and will be a subject of research in years to come.
747 citations
TL;DR: The design for these extensions represents the latest state of the art for video coding and its applications, including work on range extensions for color format and bit depth enhancement, embedded-bitstream scalability, and 3D video.
Abstract: This paper describes extensions to the High Efficiency Video Coding (HEVC) standard that are active areas of current development in the relevant international standardization committees. While the first version of HEVC is sufficient to cover a wide range of applications, needs for enhancing the standard in several ways have been identified, including work on range extensions for color format and bit depth enhancement, embedded-bitstream scalability, and 3D video. The standardization of extensions in each of these areas will be completed in 2014, and further work is also planned. The design for these extensions represents the latest state of the art for video coding and its applications.
420 citations
TL;DR: The more advanced 3D video extension, 3D-HEVC, targets a coded representation consisting of multiple views and associated depth maps, as required for generating additional intermediate views inAdvanced 3D displays.
Abstract: The High Efficiency Video Coding (HEVC) standard has recently been extended to support efficient representation of multiview video and depth-based 3D video formats. The multiview extension, MV-HEVC, allows efficient coding of multiple camera views and associated auxiliary pictures, and can be implemented by reusing single-layer decoders without changing the block-level processing modules since block-level syntax and decoding processes remain unchanged. Bit rate savings compared with HEVC simulcast are achieved by enabling the use of inter-view references in motion-compensated prediction. The more advanced 3D video extension, 3D-HEVC, targets a coded representation consisting of multiple views and associated depth maps, as required for generating additional intermediate views in advanced 3D displays. Additional bit rate reduction compared with MV-HEVC is achieved by specifying new block-level video coding tools, which explicitly exploit statistical dependencies between video texture and depth and specifically adapt to the properties of depth maps. The technical concepts and features of both extensions are presented in this paper.
385 citations
01 Oct 2014
TL;DR: Experimental results show that the LFPSO is clearly seen to be more successful than one of the state-of-the-art PSO (SPSO) and the other PSO variants in terms of solution quality and robustness and compared with well-known and recent population-based optimization methods.
Abstract: Particle swarm optimization (PSO) is one of the well-known population-based techniques used in global optimization and many engineering problems. Despite its simplicity and efficiency, the PSO has problems as being trapped in local minima due to premature convergence and weakness of global search capability. To overcome these disadvantages, the PSO is combined with Levy flight in this study. Levy flight is a random walk determining stepsize using Levy distribution. Being used Levy flight, a more efficient search takes place in the search space thanks to the long jumps to be made by the particles. In the proposed method, a limit value is defined for each particle, and if the particles could not improve self-solutions at the end of current iteration, this limit is increased. If the limit value determined is exceeded by a particle, the particle is redistributed in the search space with Levy flight method. To get rid of local minima and improve global search capability are ensured via this distribution in the basic PSO. The performance and accuracy of the proposed method called as Levy flight particle swarm optimization (LFPSO) are examined on well-known unimodal and multimodal benchmark functions. Experimental results show that the LFPSO is clearly seen to be more successful than one of the state-of-the-art PSO (SPSO) and the other PSO variants in terms of solution quality and robustness. The results are also statistically compared, and a significant difference is observed between the SPSO and the LFPSO methods. Furthermore, the results of proposed method are also compared with the results of well-known and recent population-based optimization methods.
299 citations