The Experts below are selected from a list of 330 Experts worldwide ranked by ideXlab platform
Jenqneng Hwang - One of the best experts on this subject based on the ideXlab platform.
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scene context dependent reference frame placement for mpeg Video coding
IEEE Transactions on Circuits and Systems for Video Technology, 1999Co-Authors: A Y Lan, A G Nguyen, Jenqneng HwangAbstract:The MPEG Video-Compression Standard effectively exploits spatial, temporal, and coding redundancies in the algorithm. In its generic form, however, only a minimal amount of scene adaptation is performed. Video can be further compressed by taking advantage of scenes where the temporal statistics allow larger interreference-frame distances. This paper proposes the use of motion analysis (MA) to adapt to scene content. The actual picture type [intracoded (I), predicted (P), or bidirectionally coded (B)] decision is made by examining the accumulation of motion measurements since the last reference frame (either I or P) was labeled. The proposed MA-based adaptive reference frame-placement scheme outperforms the Standard fixed-reference frame-placement and adaptive schemes based on histogram of difference. When compared with the Standard fixed scheme, depending on the Video contents, this proposed algorithm can achieve from 2 to 13.9% savings in bits while maintaining similar quality.
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scene context dependent reference frame placement for mpeg Video coding
International Conference on Acoustics Speech and Signal Processing, 1997Co-Authors: A Y Lan, Jenqneng HwangAbstract:The MPEG Video Compression Standard effectively exploits spatial, temporal, and coding redundancies in the algorithm. In its generic form, however, only a minimal amount of scene adaptation is performed. Video can be further compressed by taking advantage of scenes where the temporal statistics allow larger inter-reference frame distances. This paper proposes the use of motion analysis (MA) to adapt to scene content. The actual picture type (I, P, or B) decision is made by examining the accumulation of motion measurements since the last reference frame was labeled. Depending on the Video content, this proposed algorithm can achieve from 2% to 13.9% savings in bits while maintaining similar quality.
Olivier Deforges - One of the best experts on this subject based on the ideXlab platform.
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a flexible heterogeneous hardware software solution for real time hd h 264 motion estimation
IEEE Transactions on Circuits and Systems for Video Technology, 2008Co-Authors: Fabrice Urban, R. Poullaouec, Jean-françois Nezan, Olivier DeforgesAbstract:Quarter-pixel accuracy and variable block-size significantly enhance Compression performances of the MPEG-4 AVC/H.264 Video Compression Standard over its predecessors, but also significantly increase computation requirements. Firstly, a digital signal processor (DSP)-based solution that achieves real-time integer motion estimation is proposed. Fractional-pixel refinement is too computationally intensive to be efficiently processed on a software-based processor. To address this restriction, a flexible and low complexity VLSI subpixel refinement coprocessor is designed. Thanks to an improved datapath, a high throughput is achieved with low logic resources. Finally, an heterogeneous (DSP-field-programmable gate array) solution to handle real-time motion estimation with variable block-size and fractional-pixel accuracy for high-definition Video is studied. This solution, combining programmability and efficiency, achieves motion estimation of 720 p sequences at up to 60 fps.
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H.264 fractional motion estimation refinement: A real-time and low complexity hardware solution forhd sequences
2007 15th European Signal Processing Conference, 2007Co-Authors: Fabrice Urban, R. Poullaouec, Jean-françois Nezan, Olivier DeforgesAbstract:The MPEG-4 AVC/H.264 Video Compression Standard introduces a high motion estimation complexity. Quarter-pixel accuracy and variable block size enhances Compression performances, but increase computation requirements. We propose a low complexity VLSI design for variable block size fractional motion estimation of high definition Video sequences. Thanks to an improved datapath a high throughput is achieved with low logic resources. A complete real-time motion estimation application has been prototyped on a heterogeneous platform comprising a DSP and a FPGA. The system achieves motion estimation of 720p sequences at 60 frames per second.
A Y Lan - One of the best experts on this subject based on the ideXlab platform.
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scene context dependent reference frame placement for mpeg Video coding
IEEE Transactions on Circuits and Systems for Video Technology, 1999Co-Authors: A Y Lan, A G Nguyen, Jenqneng HwangAbstract:The MPEG Video-Compression Standard effectively exploits spatial, temporal, and coding redundancies in the algorithm. In its generic form, however, only a minimal amount of scene adaptation is performed. Video can be further compressed by taking advantage of scenes where the temporal statistics allow larger interreference-frame distances. This paper proposes the use of motion analysis (MA) to adapt to scene content. The actual picture type [intracoded (I), predicted (P), or bidirectionally coded (B)] decision is made by examining the accumulation of motion measurements since the last reference frame (either I or P) was labeled. The proposed MA-based adaptive reference frame-placement scheme outperforms the Standard fixed-reference frame-placement and adaptive schemes based on histogram of difference. When compared with the Standard fixed scheme, depending on the Video contents, this proposed algorithm can achieve from 2 to 13.9% savings in bits while maintaining similar quality.
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scene context dependent reference frame placement for mpeg Video coding
International Conference on Acoustics Speech and Signal Processing, 1997Co-Authors: A Y Lan, Jenqneng HwangAbstract:The MPEG Video Compression Standard effectively exploits spatial, temporal, and coding redundancies in the algorithm. In its generic form, however, only a minimal amount of scene adaptation is performed. Video can be further compressed by taking advantage of scenes where the temporal statistics allow larger inter-reference frame distances. This paper proposes the use of motion analysis (MA) to adapt to scene content. The actual picture type (I, P, or B) decision is made by examining the accumulation of motion measurements since the last reference frame was labeled. Depending on the Video content, this proposed algorithm can achieve from 2% to 13.9% savings in bits while maintaining similar quality.
Fabrice Urban - One of the best experts on this subject based on the ideXlab platform.
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Highly Flexible Coding Structures for Next-Generation Video Compression Standard
2019 Data Compression Conference (DCC), 2019Co-Authors: Fabrice Le Léannec, Fabrice Urban, Tangi Poirier, Franck Galpin, Edouard François, Wei-jung Chien, Vadim Seregin, Marta KarczewiczAbstract:This paper describes the coding block structure used in the joint Qualcomm/Technicolor responses to the JVET call for proposal on Video Compression with capability beyond HEVC. The proposed block structure relies on the known quadtree plus binary tree (QTBT) block structure and brings some higher degree of flexibility in it. Two sets of partitioning modes extend QTBT: the ternary tree (TT) and the asymmetric binary tree (ABT). The added split modes are used with a normative non-redundancy policy, which ensures any block topology can be reached through a unique series of split modes. Finally, some flexible binary and ternary partitioning is allowed near the bottom and right picture borders. Overall, the proposed split modes, non-redundancy and picture border strategies lead to 19.6% bitrate reduction over HEVC.
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HDS, a real-time multi-DSP motion estimator for MPEG-4 H.264 AVC high definition Video encoding
Journal of Real-Time Image Processing, 2009Co-Authors: Fabrice Urban, Jean-françois Nezan, Mickaël RauletAbstract:H.264 AVC Video Compression Standard achieves high Compression rates at the cost of a high encoder complexity. The encoder performances are greatly linked to the motion estimation operation which requires high computation power and memory bandwidth. High definition context magnifies the difficulty of a real-time implementation. EPZS and HME are two well-known motion estimation algorithms. Both EPZS and HME are implemented in a DSP and their performances are compared in terms of both quality and complexity. Based on these results, a new algorithm called HDS for Hierarchical Diamond Search is proposed. HDS motion estimation is integrated in a AVC encoder to extract timings and resulting Video qualities reached. A real-time DSP implementation of H.264 quarter-pixel accuracy motion estimation is proposed for SD and HD Video format. Furthermore HDS characteristics make this algorithm well suited for H.264 SVC real-time encoding applications.
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a flexible heterogeneous hardware software solution for real time hd h 264 motion estimation
IEEE Transactions on Circuits and Systems for Video Technology, 2008Co-Authors: Fabrice Urban, R. Poullaouec, Jean-françois Nezan, Olivier DeforgesAbstract:Quarter-pixel accuracy and variable block-size significantly enhance Compression performances of the MPEG-4 AVC/H.264 Video Compression Standard over its predecessors, but also significantly increase computation requirements. Firstly, a digital signal processor (DSP)-based solution that achieves real-time integer motion estimation is proposed. Fractional-pixel refinement is too computationally intensive to be efficiently processed on a software-based processor. To address this restriction, a flexible and low complexity VLSI subpixel refinement coprocessor is designed. Thanks to an improved datapath, a high throughput is achieved with low logic resources. Finally, an heterogeneous (DSP-field-programmable gate array) solution to handle real-time motion estimation with variable block-size and fractional-pixel accuracy for high-definition Video is studied. This solution, combining programmability and efficiency, achieves motion estimation of 720 p sequences at up to 60 fps.
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H.264 fractional motion estimation refinement: A real-time and low complexity hardware solution forhd sequences
2007 15th European Signal Processing Conference, 2007Co-Authors: Fabrice Urban, R. Poullaouec, Jean-françois Nezan, Olivier DeforgesAbstract:The MPEG-4 AVC/H.264 Video Compression Standard introduces a high motion estimation complexity. Quarter-pixel accuracy and variable block size enhances Compression performances, but increase computation requirements. We propose a low complexity VLSI design for variable block size fractional motion estimation of high definition Video sequences. Thanks to an improved datapath a high throughput is achieved with low logic resources. A complete real-time motion estimation application has been prototyped on a heterogeneous platform comprising a DSP and a FPGA. The system achieves motion estimation of 720p sequences at 60 frames per second.
Gary J Sullivan - One of the best experts on this subject based on the ideXlab platform.
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guest editorial introduction to the special section on the joint call for proposals on Video Compression with capability beyond hevc
IEEE Transactions on Circuits and Systems for Video Technology, 2020Co-Authors: Jill Macdonald Boyce, Jianle Chen, Jens Rainer Ohm, Gary J Sullivan, Thomas WiegandAbstract:Standardization for digital Video Compression has shown significant evolution over the last three decades. Starting in 1988 with ITU-T H.261 as the first such Standard that was practical for consumer use, ISO/IEC MPEG-1 and H.262/MPEG-2 Video (the latter jointly Standardized by ITU-T and ISO/IEC) were developed very soon thereafter, creating the first wave of broad usage of digital technology in consumer Video, such as broadcast and disc player applications. Later, the H.264/MPEG-4 Advanced Video Coding (AVC) Standard was again developed jointly by ITU-T and ISO/IEC experts, with its High Profile becoming dominant from 2004 in HD broadcast and storage, as well as network-based streaming services and private capture of Video. With ever-increasing demands for higher quality and the advent of flat-panel displays, the H.265/MPEG-H High Efficiency Video Coding (HEVC) Standard became the next generation of Video Compression Standard; with its first version defined in 2013, HEVC has been especially instrumental for the recent deployment of Ultra High Definition (UHD, a.k.a. 4K Video). As time has moved forward, Video content has continued to become an increasing presence in our lives, with an ever-growing diversification of usage models and continuing demands for higher quality. For example, flat panels evolved towards support of high dynamic range (HDR) Video with a wider color gamut, and new modalities for consuming Video have appeared, such as head-mounted displays (HMDs).
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Video Quality Evaluation Methodology and Verification Testing of HEVC Compression Performance
IEEE Transactions on Circuits and Systems for Video Technology, 2016Co-Authors: Thiow Keng Tan, Jens Rainer Ohm, Rajitha Weerakkody, Marta Mrak, Naeem Ramzan, Vittorio Baroncini, Gary J SullivanAbstract:The High Efficiency Video Coding (HEVC) Standard (ITU-T H.265 and ISO/IEC 23008-2) has been developed with the main goal of providing significantly improved Video Compression compared with its predecessors. In order to evaluate this goal, verification tests were conducted by the Joint Collaborative Team on Video Coding of ITU-T SG 16 WP 3 and ISO/IEC JTC 1/SC 29. This paper presents the subjective and objective results of a verification test in which the performance of the new Standard is compared with its highly successful predecessor, the Advanced Video Coding (AVC) Video Compression Standard (ITU-T H.264 and ISO/IEC 14496-10). The test used Video sequences with resolutions ranging from 480p up to ultra-high definition, encoded at various quality levels using the HEVC Main profile and the AVC High profile. In order to provide a clear evaluation, this paper also discusses various aspects for the analysis of the test results. The tests showed that bit rate savings of 59% on average can be achieved by HEVC for the same perceived Video quality, which is higher than a bit rate saving of 44% demonstrated with the PSNR objective quality metric. However, it has been shown that the bit rates required to achieve good quality of compressed content, as well as the bit rate savings relative to AVC, are highly dependent on the characteristics of the tested content.
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High efficiency Video coding: the next frontier in Video Compression [Standards in a Nutshell]
IEEE Signal Processing Magazine, 2013Co-Authors: Jens Rainer Ohm, Gary J SullivanAbstract:High Efficiency Video Coding (HEVC) is a new Video Compression Standard developed jointly by ITU-T Video Coding Experts Group (VCEG) and ISO/IEC Moving Pictures Expert Group (MPEG) through their Joint Collaborative Team on Video Coding (JCT-VC). The first version of HEVC will be finalized by the JCT-VC in January 2013. The HEVC project was launched to achieve major savings-e.g., reduction by about half for 1,280 × 720 high-definition (HD) and higher-resolution progressives can Video-for equivalent visual quality relative to the bit rate needed by the widely used H.264/ MPEG-4 Advanced Video Coding (AVC) Standard. For high resolution Video where such additional Compression is most urgently required, implementations of the current draft Standard are already meeting or exceeding the targeted goal. We review the architecture and building blocks of HEVC, which were carefully selected with regard to Compression capability versus complexity and to enable parallelism for the signal processing operations. Given the benefits that HEVC provides, it is likely to become the new primary reference for Video Compression.
