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检索条件"主题词=Lossless coding"

共 166 条记录，以下是131-140 订阅

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CORRELATION MODEL SELECTION FOR INTERACTIVE VIDEO COMMUNICATION 24

CORRELATION MODEL SELECTION FOR INTERACTIVE VIDEO COMMUNICAT...

引用

24th IEEE International Conference on Image Processing (ICIP)

作者： Bidgoli, Navid Mahmoudian Maugey, Thomas Roumy, Aline INRIA Rennes Bretagne Atlantique Rennes France Univ Rennes 1 Rennes France

ISBN: (纸本)9781509021758

Interactive video communication has been recently proposed for multi-view videos. In this scheme, the server has to store the views as compact as possible, while being able to transmit them independently to the users, who are allowed to navigate interactively among the views, hence requesting a subset of them. To achieve this goal, the compression must be done using a model-based coding in which the correlation between the predicted view generated on the user side and the original view has to be modeled by a statistical distribution. In this paper we propose a framework for lossless fixed-length source coding to select a model among a candidate set of models that incurs the lowest extra rate cost to the system. Moreover, in cases where the depth image is available, we provide a method to estimate the correlation model.

关键词： Correlation model selection Depth-Image Based rendering Interactive video lossless coding Fixed-Length interactive source coding

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Learning-based lossless light field compression 23

Learning-based lossless light field compression

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23rd IEEE International Workshop on Multimedia Signal Processing (IEEE MMSP)

作者： Stepanov, Milan Mukati, M. Umair Valenzise, Giuseppe Forchhammer, Soren Dufaux, Frederic Univ Paris Saclay Lab Signaux & Syst Cent Supelec CNRS F-91190 Gif Sur Yvette France Tech Univ Denmark DTU Foton DK-2800 Lyngby Denmark

ISBN: (纸本)9781665432870

We propose a learning-based method for lossless light field compression. The approach consists of two steps: first, the view to be compressed is synthesized based on previously decoded views;then, the synthesized view is used as a context to predict probabilities of the residual signal for adaptive arithmetic coding. We leverage recent advances in deep-learning-based view synthesis and generative modeling. Specifically, we evaluate two strategies for entropy modeling: a fully parallel probability estimation, where all pixel probabilities are estimated simultaneously;and a partially auto-regressive estimation, in which groups of pixels are predicted sequentially. Our results show that the latter approach provides the best coding gains compared to the state of the art, while keeping the computational complexity competitive.

关键词： light field lossless coding deep learning

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NOVEL MEDICAL VIDEO COMPRESSION METHODS OVER lossless HEVC CODER

NOVEL MEDICAL VIDEO COMPRESSION METHODS OVER LOSSLESS HEVC C...

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IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)

作者： Chang, Yao-Jen Tsai, Pei-Hsuan Lin, Chun-Lung ITRI Hsinchu Taiwan Natl Cheng Kung Univ Tainan Taiwan

ISBN: (纸本)9781509041176

To realize the medical video applications, this paper proposes several lossless compression methods over high efficiency video coding (HEVC). A generalized intra block copy (GIBC) is first proposed to predict the coding unit by a reference block, whose samples could be fully or partially reconstructed. A cyclic block padding technique is also proposed to predict the unreconstructed samples in the reference block by geometrically co-located blocks. Based on the feature distribution analyses for palette coding, we further propose an HEVC-based medical video coder (HMC), which combines the GIBC, line-coded palette coding and intra palette predictor without mutual conflicts. Experimental results show that, compared to the lossless HEVC, the proposed GIBC and HMC respectively save up to 13.9% and 22.3% bits over medical videos.

关键词： HEVC lossless coding medical video

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CONTEXT BASED lossless CODER BASED ON RLS PREDICTOR ADAPTION SCHEME

CONTEXT BASED LOSSLESS CODER BASED ON RLS PREDICTOR ADAPTION...

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16th IEEE International Conference on Image Processing

作者： Ulacha, Grzegorz Stasinski, Ryszard West Pomeranian Univ Technol Poznan Poland

ISBN: (纸本)9781424456536

In the paper highly efficient context image lossless coder of moderate complexity is presented. Three main plus few auxiliary contexts are described. Predictors are adaptive, enhanced RLS coefficient update formula is implemented. A stage of NLMS prediction is added. Prediction error bias is removed using a robust multi-source approach. An advanced adaptive context arithmetic coder is applied. Experimental results show that indeed, the new coder is both more effective and faster than other state-of-the-art algorithms.

关键词： lossless coding RLS prediction NLMS prediction adaptive context arithmetic coder

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Decision Tree Based Fast CU Partition for HEVC lossless Compression of Medical Image Sequences 9

Decision Tree Based Fast CU Partition for HEVC Lossless Comp...

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9th International Conference on Wireless Communications and Signal Processing (WCSP)

作者： Zhang, Dongdong Duan, Xiaojing Zang, Di Tongji Univ Dept Comp Sci Shanghai Peoples R China

ISBN: (纸本)9781538620625

In this paper, we proposed a fast coding unit (CU) size decision algorithm for High Efficiency Video coding (HEVC) medical image lossless coding. In detailed, we used the coding information obtained after checking the first two prediction unit (PU) modes inter 2Nx2N and Skip to determine whether or not to continue partitioning the current CU. Eight features are extracted from the coding information of coded inter 2Nx2N and Skip modes and three decision tree based classifier are trained off-line for CU depth level 0, 1, and 2, to early terminate CU partition respectively. The experimental results show that the proposed algorithm achieves about 51.28% reduction in encoding time compared to the HEVC test model 16.8 encoder under the Random Access Main RExt configuration with only a negligible loss of coding efficiency.

关键词： HEVC lossless coding fast CU partition decision tree medical image sequence

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Scalable and lossless transmission of multi-level images using minimized average error method

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Conference on Visual Communications and Image Processing

作者： Kato, S Hasegawa, M Utsunomiya Univ Fac Engn Utsunomiya Tochigi 3218585 Japan

ISBN: (纸本)0819437034

Image information service systems have been actively developed. It takes, however, very long transmission time for a multilevel image over narrow band channel, because the image information has a large amount of data. A variety of progressive or scalable transmission schemes have been proposed to reduce this disadvantage, which enable the receivers to recognize the image contents at the earlier transmission stage. Among these scalable transmission schemes, there are some schemes in which use bit plane coding techniques. These schemes have good performances because the resolution or the number of multi-levels can be improved independently. However, the effects of the half-tone representation at the earlier transmission stages are not good because of using the natural binary planes. In this paper, we propose a new scalable and lossless transmission method of multi-level images using the minimized average error method, which gives good quality of the half-tone reproduction. The simulation results show that our method gives good image quality at the first stage of the transmission.

关键词： image coding scalable coding progressive transmission lossless coding minimized average error method

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Directional interpolation pyramids for still image compression

Directional interpolation pyramids for still image compressi...

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International Symposium on Computer Graphics, Image Processing, and Vision (SIBGRAPI 98)

作者： Boulgouris, NV Strintzis, MG Aristotelian Univ Salonika Dept Elect & Comp Engn Informat Proc Lab GR-54006 Salonika Greece

ISBN: (纸本)0818692162

Reduced pyramids, i.e pyramids without analysis filters are known to produce excellent results when used for lossless signal and image compression. The present paper introduces a novel method for the construction of reduced pyramids with synthesis filters adapted to the orientation of local image features. It is shown that this construction produces more accurate interpolation than conventional reduced pyramids. It also has the added advantage of producing lossy replicas of the original, which, at lower resolutions lack undesirable artifacts near edges. Experimental evaluation shows that the resulting method produces results comparable and often superior to those of the most efficient known algorithms for progressive lossless image coding.

关键词： progressive image transmission reduced pyramids lossless coding

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An Analysis of 3D Point Cloud Reconstruction from Light Field Images 6

An Analysis of 3D Point Cloud Reconstruction from Light Fiel...

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6th International Conference on Image Processing Theory, Tools and Applications (IPTA)

作者： Perra, Cristian Murgia, Francesca Giusto, Daniele Univ Cagliari I-09124 Cagliari Italy

ISBN: (纸本)9781467389105

Current methodologies for the generation of 3D point cloud from real world scenes rely upon a set of 2D images capturing the scene from several points of view. Novel plenoptic cameras sample the light field crossing the main camera lens creating a light field image. The information available in a plenoptic image must be processed in order to render a view or create the depth map of the scene. This paper analyses a method for the reconstruction of 3D models. The reconstruction of the model is obtained from a single image shot. Exploiting the properties of plenoptic images, a point cloud is generated and compared with a point cloud of the same object but generated with a different plenoptic camera.

关键词： Light field coding Plenoptic coding lossless coding Image compression

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Optimization of Probability Distributions for Residual coding of Screen Content

Optimization of Probability Distributions for Residual Codin...

引用

IEEE International Conference on Visual Communications and Image Processing (VCIP) - Visual Communications in the Era of AI and Limited Resources

作者： Och, Hannah Strutz, Tilo Kaup, Andre Friedrich Alexander Univ Erlangen Nurnberg FAU Multimedia Commun & Signal Proc Cauerstr 7 D-91058 Erlangen Germany Leipzig Univ Telecommun Deutsch Telekom AG Inst Commun Engn Gustav Freytag Str 43-45 D-04277 Leipzig Germany

ISBN: (纸本)9781728185514

Probability distribution modeling is the basis for most competitive methods for lossless coding of screen content. One such state-of-the-art method is known as soft context formation (SCF). For each pixel to be encoded, a probability distribution is estimated based on the neighboring pattern and the occurrence of that pattern in the already encoded image. Using an arithmetic coder, the pixel color can thus be encoded very efficiently, provided that the current color has been observed before in association with a similar pattern. If this is not the case, the color is instead encoded using a color palette or, if it is still unknown, via residual coding. Both palette-based coding and residual coding have significantly worse compression efficiency than coding based on soft context formation. In this paper, the residual coding stage is improved by adaptively trimming the probability distributions for the residual error. Furthermore, an enhanced probability modeling for indicating a new color depending on the occurrence of new colors in the neighborhood is proposed. These modifications result in a bitrate reduction of up to 2.9 % on average. Compared to HEVC (HM-16.21 + SCM-8.8) and FLIF, the improved SCF method saves on average about 11 % and 18 % rate, respectively.

关键词： distribution modelling lossless coding screen content coding color image compression soft context formation

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A Comparison of Raw Light Field lossless Data Compression Algorithms 24

A Comparison of Raw Light Field Lossless Data Compression Al...

引用

24th Telecommunications Forum (TELFOR)

作者： Murgia, Francesca Giusto, Daniele Univ Cagliari Dept Elect & Elect Engn Via Marengo 2 I-09123 Cagliari Italy

ISBN: (纸本)9781509040865

Novel digital photo cameras are able to sample the light field. In order to develop applications for efficiently storing and transmitting such information, it is important to study image coding architectures providing high compression ratios. This paper aims at exploring the performance of state-of-the-art lossless image compression algorithms applied to raw light field images. The obtained results are discussed in order to define future research directions in the area of light field image coding.

关键词： Image compression Light field coding lossless coding Plenoptic coding

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