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共 99 条记录，以下是81-90 订阅

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An easily decoded erasure code based on random bipartite graphs

An easily decoded erasure code based on random bipartite gra...

引用

2017 IEEE 第2届先进信息技术,电子与自动化控制国际会议(IAEAC 2017)

作者： Shuo Chai Hao zheng Wenhui Cao Liwei Shao School of Information and Electronics Beijing Institute of Technology Research Institute of BIT in Zhongshan

in the tornado code, cascading with traditional erasure codes(mostly Reed-Solomon codes) is always used to protect the last level, which will enhance the erasure correcting performance. However, this

ISBN: (纸本)9781467389808

in the tornado code, cascading with traditional erasure codes(mostly Reed-Solomon codes) is always used to protect the last level, which will enhance the erasure correcting performance. However, this

关键词： Random bipartite graph Erasure channel Peeling decoder Tornado code Right non-regular sequences of degree distribution erasure channel Bipartite graph Codes Reed-Solomon codes tornadoes Simulation results decoders DECODING TWO-COMPONENT encoding complexity

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FAST encoding OF 3D COLOR-PLUS-DEPTH VIDEO BASED ON 3D-HEVC

FAST ENCODING OF 3D COLOR-PLUS-DEPTH VIDEO BASED ON 3D-HEVC

引用

IEEE International Conference on Image Processing

作者： Wen-Nung Lie Yan-Heng Lu Department of Electrical Engineering National Chung Cheng University

ISBN: (纸本)9781479983407

3D-HEVC is the newest standard for compressing the Multi-View plus Depth (MVD) video. Inheriting from HEVC, 3D-HEVC presents a high encoding complexity by extra considering interview prediction. Under the encoding architecture of 3D-HEVC, we develop fast algorithms for early decisions of CU splitting/non-splitting for both texture and depth frame coding. High correlation between the texture and depth domains is exploited such that when encoding one domain of information (texture or depth), the coding efficiency (RD characteristics or speedup) can be improved by adding suitably augmenting information from the other domain, thus achieving the so-called depth-assisted and texture-assisted coding. In texture coding part, optical flow features and depth edges are combined to form a feature vector for searching similar CUs in previously coded block buffers and inheriting the CU splitting decision accordingly. In depth coding part, optical flows and depth map features are used as inputs to a neural classifier for fast decision of CU splitting/non-splitting. Compared to the original 3D-HEVC implementation, our texture coding algorithm achieves a 46.6% of time saving at only 0.4% of bit rate increase and 0.04 dB of quality degradation. On the other side, our depth coding algorithm saves 35.8% of the encoding time at 2.65% of bit rate reduction and 0.16 dB of PSNR degradation. In comparison to prior works [4][5][10], our algorithm achieves more time saving at comparable bit rate increase and PSNR degradation.

关键词： 3D-HEVC Fast encoding CU split fast encoding Eigenvector texture encoding complexity bit rate reduction Texture Coding Videotapes Copper textures Optic Flow Speeding coding Bit rate Peak signal-to-noise ratio

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IMAGE CODING WITH INCOMPLETE TRANSFORM COMPETITION FOR HEVC

IMAGE CODING WITH INCOMPLETE TRANSFORM COMPETITION FOR HEVC

引用

IEEE International Conference on Image Processing

作者： Adria Arrufat Anne-Flore Perrin Pierrick Philippe Orange Labs B-COM

ISBN: (纸本)9781479983407

Overcomplete transforms have received considerable attention over the past years. However, they often suffer from a complexity burden. In this paper, a low complexity approach is provided, where an orthonormal basis is complemented with a set of incomplete transforms: those incomplete transforms include a reduced number of basis vectors that allow a reduction on the coding complexity and ensure a certain level of sparsity. The solution has been implemented in the HEVC standard and compression gains of around 1% on average are reported while reducing the decoder complexity in about 5%.

关键词： Transform coding Orthogonal transforms Sparse data representation Image coding transform coding image coding Transform encoding complexity High efficiency video coding Orthonormal basis images

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Transform for inter-layer prediction residues in scalable video coding

Transform for inter-layer prediction residues in scalable vi...

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IEEE International Conference on Multimedia and Expo Workshops (ICMEW)

作者： Liwei Guo Marta Karczewicz Jianle Chen Qualcomm Technologies Inc. San Diego CA USA

ISBN: (纸本)9781479916030

Inter-layer prediction is an important tool in scalable video coding schemes. With inter-layer prediction, the encoder can eliminate redundancy between the layers and improve compression efficiency. In this paper, the characteristics of inter-layer prediction residues are investigated and an improved transform scheme is presented. Compared to traditional schemes using DCT-II as the spatial transform, the proposed scheme introduces two additional transforms. These additional transforms are designed in a way such that they may better capture the dominant components in interlayer prediction residues while their implementation can reuse the transform modules in existing codecs. Results obtained with SHVC reference software SMuC0.1.1 show that the proposed method can improve the coding efficiency with negligible increase in the encoding complexity.

关键词： Scalable video coding Inter-layer prediction Transform scalable video coding Transform Residues encoding complexity Videotapes redundancy

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CLOUD-BASED DISTRIBUTED IMAGE CODING

CLOUD-BASED DISTRIBUTED IMAGE CODING

引用

IEEE International Conference on Image Processing

作者： Xiaodan Song Xiulian Peng Jizheng Xu Feng Wu Xidian Univ. Xi'an China

ISBN: (纸本)9781479957521

This paper proposes a cloud-based distributed image coding scheme (Cloud-DIC) to exploit the strong correlations with external partial-duplicate images in the cloud. It features both high coding efficiency and low encoder complexity, which makes it suitable for photo sharing on mobile devices. To get the side information in the cloud, a thumbnail of the current image is transmitted to retrieve highly correlated images and reconstruct through geometrical registration and adaptive patched-based stitching. The current image is then compressed by a transform-domain syndrome coding, bitplane by bitplane. Once a bitplane is received, the decoded high-quality image is further used to refine the side information in the cloud, which will benefit the coding of following bit-planes and the reconstruction. Experimental results on a landmark image database show that it can largely enhance the coding efficiency both subjectively and objectively with up to 5 dB gains and 58% bits saving over JPEG.

关键词： cloud computing image coding image reconstruction image registration image retrieval image segmentation visual databases Cloud-DIC cloud-based distributed image coding geometrical registration landmark image database patched-based stitching Correlation Decoding encoding Image coding Image reconstruction Silicon Transform coding cloud-based coding distributed image coding local feature descriptors image coding image reconstruction image retrieval visual databases transform coding Cloud Computing image registration DECODING image segmentation Current Pick encoding complexity side information CLOUDS Clouds Silicon

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DISTRIBUTED VIDEO CODING WITH PARTICLE FILTERING FOR CORRELATION TRACKING

DISTRIBUTED VIDEO CODING WITH PARTICLE FILTERING FOR CORRELA...

引用

European Signal Processing Conference

作者： Lina Stankovic Vladimir Stankovic Shuang Wang Samuel Cheng Dept. of Electronic and Electrical Engineering University of Strathclyde School of Electrical and Computer Engineering University of Oklahoma

One of the main challenges of distributed video coding (DVC) is that correlation among source and side information needs to be estimated and well modelled a priori. Since in DVC correlation dynamically changes with the scene, in order to get the full benefit from powerful distributed source code (DSC) designs, predicting and tracking correlation is essential. This paper proposes an adaptive scheme based on integrated particle filtering within the LDPC-based DSC that dynamically tracks the changes in image correlation to enhance belief propagation LDPC decoding. The system maintains its low encoder complexity, showing significant performance improvement compared to the case without dynamic particle filtering tracking.

关键词： encoding complexity Particle filters performance boost tracking Filtration Videotapes digital video coding IMAGE CORRELATION side information

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ENHANCED INTER-PREDICTION USING MERGE PREDICTION TRANSFORMATION IN THE HEVC CODEC

ENHANCED INTER-PREDICTION USING MERGE PREDICTION TRANSFORMAT...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Saverio G. Blasi Eduardo Peixoto Ebroul Izquierdo School of Electronic Engineering and Computer Science Queen Mary University of London Departamento de Engenharia Eletrica Universidade de Brasilia

ISBN: (纸本)9781479903573

Merge prediction is a novel technique introduced in the HEVC standard to improve inter-prediction exploiting redundancy of the motion information. We propose in this paper a new approach to enhance the Merge mode in a typical HEVC encoder using parametric transformations of the Merge prediction candidates. An Enhanced Inter-Prediction module is implemented in HEVC using Merge Prediction Transformation (MPT), integrated with the HEVC new features such as the large coding units (CU) and the recursive prediction unit partitioning. The MPT parameters are quantised according to the CU depth and the current QP. The optimal quantization steps are derived via statistical analysis as illustrated in the paper. Results show consistent improvements over conventional HEVC encoding in terms of rate-distortion performance, with a small impact on the encoding complexity and negligible impact on the decoding complexity.

关键词： Inter-prediction Video coding HEVC Video coding High efficiency video coding codecs encoding complexity Copper Rate distortion indium

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GSMA:a sat-based general simplified merging approach in planning

GSMA:a sat-based general simplified merging approach in plan...

引用

2014 International Conference on Computational Intelligence and Industrial Engineering(CIIE 2014)

作者： Aixiang Chen Xiaolong Chai Rui Bian Department of Information and Computational Science Guangdong University of Finance and Economics

Recently,a renewed interest in machine learning for automatic planning is growing as the cross fertilization shows its strength in this field. This paper presents a satisfy ability-based General Merging Approach(GMA),which can unite separately generated plans into one global plan,even if there are same actions among different individual plans. Furthermore,we introduce a satisfy ability-based General Simplified Merging Approach(GSMA),and prove that the encoding complexity of GSMA is lower than that of the current existing approaches. Experiment results show the effectiveness of GSMA.

关键词： plan merge satisifibility encoding complexity

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Fast depth map intra prediction algorithm based on edge detection and CU partition

Fast depth map intra prediction algorithm based on edge dete...

引用

11th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM 2015)

作者： Zhenyong Wang Lifeng Mo Dezhi Li Ting Xu School of Electronics and Information Engineering Harbin Institute of Technology China

ISBN: (纸本)9781510821279

This paper proposed a new fast intra prediction algorithm based on fast edge detection and CU partition for depth map to reduce the coding complexity of Multiview Video Plus Depth (MVD) coding in HEVC. The latest video coding standard HEVC greatly improves the coding complexity of intra prediction because of complex coding unit (CU) partition and lots of prediction modes. Depth maps always have smooth regions separated by sharp edges. Smooth regions can help to speed up the CU partition and reduce the time of intra mode decision, and sharp edges must be protected to ensure the quality of synthetic viewpoints. In the new algorithm, an equation and a threshold T are used to detect whether there are edges in current CU. To different kinds of CU, different intra mode decision methods are taken. After simulation, the experimental results show that the proposed algorithm significantly reduces the coding times, while maintaining high bitrate and PSNR performance in comparison with original HEVC algorithm.

关键词： CU Partition Depth Map Coding Edge Detection Intra Prediction Mode Decision Edge detection Copper encoding complexity Prediction algorithms partitions

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A LOW complexity MODE DECISION APPROACH FOR HEVC-BASED 3D VIDEO CODING USING A BAYESIAN METHOD

A LOW COMPLEXITY MODE DECISION APPROACH FOR HEVC-BASED 3D VI...

引用

IEEE International Conference on Acoustics, Speech and Signal Processing

作者： Hamid Reza Tohidypour Mahsa T. Pourazad Panos Nasiopoulos Department of Electrical & Computer Engineering University of British Columbia Canada

ISBN: (纸本)9781479928941

The 3D extension of High Efficiency Video Coding (HEVC) standard (3D-HEVC) aims at improving coding efficiency by introducing new and unique approaches for utilizing correlations between the different views of a scene. Reported coding efficiency, however, comes at the expense of increased computational complexity. For real-time applications, reducing the computational complexity of 3D-HEVC is very important. In this paper, we propose an adaptive fast mode assigning method based on a Bayesian classifier that reduces 3D-HEVC's coding complexity by up to 51.95%, while maintaining the overall quality and bitrate.

关键词： complexity classes Bayesian classifier Bit rate Videotapes real-time application program complexity code efficiency encoding complexity

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