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检索条件"主题词=arithmetic coding"

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Lossless coding of MPEG-1 Layer III encoded audio streams 25

Lossless coding of MPEG-1 Layer III encoded audio streams

引用

IEEE International Conference on Acoustics, Speech, and Signal Processing

作者： Golchin, F Paliwal, KK Griffith Univ Sch Microelect Engn Brisbane Qld 4111 Australia

ISBN: (纸本)0780362934

In this paper we describe a lossless coding scheme for the encoding of MPEG-1 Layer III encoded audio bitstreams. Commonly known as MP3, the MPEG-1 Layer III standard has proved widely popular for the transmission of encoded audio files (MP3's) over the Internet. However, the MPEG-1 Layer III standard has been designed with a wide range of applications in mind. As such, the frame sizes are kept small and redundancies between samples in neighboring frames are not exploited. We propose a design which uses a combination of Linear Predictive coding and arithmetic coding to exploit such redundancies. The proposed coder was tested on a number of Layer III encoded audio (MP3) files and shown to produce an average coding gain of 12.2% over the original Layer III encoded files.

关键词： audio streaming lossless coding lossless compression Digital audio players arithmetic coding frame size Lossless Audio

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A NEW EFFICIENT BYPASS coding SCHEME BASED ON LOGARITHMIC DOMAIN 31

A NEW EFFICIENT BYPASS CODING SCHEME BASED ON LOGARITHMIC DO...

引用

Picture coding Symposium (PCS)

作者： Yu, Quanhe Zheng, Xiaozhen Zheng, Jianhua He, Yun Yu, Wei Wang, Dadong Chen, Junyou Xu, Yangyang Tsinghua Univ Dept Elect Engn Tsinghua Natl Lab Informat Sci & Technol Beijing Peoples R China HiSilicon Technol Res Dept Shenzhen Peoples R China

ISBN: (纸本)9781479977833

This paper proposes a new efficient bypass coding scheme (EBCS) based on Logarithmic Binary arithmetic coding (LBAC). The bypass coding model is used to encode a symbol which has equal probability (0.5). The percentage of the bypass coding model is about 25 in CABAC of H.265/HEVC. The proposed EBCS provides a hardware-efficient design that can significantly increase the processing speed, and it has a simple algorithm structure. Experimental results show that the EBCS can reduce bypass coding time by 60% roughly. For a hardware implementation in this paper, the overall processing speed is improved by about 96%, and the hardware cost is low.

关键词： arithmetic coding LBAC H.265/HEVC CABAC entropy coding

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Neural Network Modeling of Probabilities for coding the Octree Representation of Point Clouds 23

Neural Network Modeling of Probabilities for Coding the Octr...

引用

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

作者： Kaya, Emre Can Tabus, Ioan Tampere Univ Comp Sci Unit Tampere Finland

ISBN: (纸本)9781665432870

This paper describes a novel lossless point cloud compression algorithm that uses a neural network for estimating the coding probabilities for the occupancy status of voxels, depending on wide three dimensional contexts around the voxel to be encoded. The point cloud is represented as an octree, with each resolution layer being sequentially encoded and decoded using arithmetic coding, starting from the lowest resolution, until the final resolution is reached. The occupancy probability of each voxel of the splitting pattern at each node of the octree is modeled by a neural network, having at its input the already encoded occupancy status of several octree nodes (belonging to the past and current resolutions), corresponding to a 3D context surrounding the node to be encoded. The algorithm has a fast and a slow version, the fast version selecting differently several voxels of the context, which allows an increased parallelization by sending larger batches of templates to be estimated by the neural network, at both encoder and decoder. The proposed algorithms yield state-of-the-art results on benchmark datasets. The implementation will be available at https://***/marmus12/nnctx

关键词： Lossless Compression Context coding Point Cloud arithmetic coding Point Cloud Compression

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APPROACHING OPTIMALITY IN SPATIALLY SCALABLE VIDEO coding: FROM RESAMPLING AND PREDICTION TO QUANTIZATION AND ENTROPY coding

APPROACHING OPTIMALITY IN SPATIALLY SCALABLE VIDEO CODING: F...

引用

20th IEEE International Conference on Image Processing (ICIP)

作者： Han, Jingning Rose, Kenneth Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA

ISBN: (纸本)9781479923410

This paper builds on our recent work on optimal prediction in spatially scalable video coding, and is inspired by earlier work in our lab on optimal approaches for quality (or SNR) scalability. The approach we propose herein complements the optimal enhancementlayer prediction, enabled by transform domain resampling that ensures the base layer information is maximally accessible and usable at the enhancement layer despite their differing signal resolutions, with an optimal approach to quantization and entropy coding that exploits all available information, encapsulated in the appropriate conditional distribution for transform coefficients, to yield a unified coding engine for spatial scalability. For such quantizers to fully exploit base layer information, the enhancement layer transform block size must proportionally match the signal block transformed at the base layer. The overall system incorporates switching that applies the full estimation-theoretic quantizer and entropy coder at the right block size, but may optionally employ other block sizes where it defaults to optimal prediction followed by standard quantization. It is experimentally shown that the proposed scheme provides considerable performance gains over conventional codec and other leading competitors.

关键词： Scalable video coding spatial scalability estimation theory entropy-constrained quantizer arithmetic coding

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FV Polar coding for Lossy Compression with an Improved Exponent

FV Polar Coding for Lossy Compression with an Improved Expon...

引用

IEEE International Symposium on Information Theory (ISIT)

作者： Wang, Runxin Honda, Junya Yamamoto, Hirosuke Liu, Rongke Beihang Univ Sch Elect & Informat Engn Beijing 100191 Peoples R China Univ Tokyo Dept Complex Sci & Engn Tokyo 1138654 Japan

ISBN: (纸本)9781467377041

Polar codes achieve the rate-distortion bound for nonuniform sources and/or asymmetric distortion measures. However, the performance is not always near optimal for finite code length, especially for short code length. In this paper a new scheme for lossy source coding is proposed. In addition to polar coding, arithmetic coding is applied in the scheme. The source is first encoded by polar coding for lossy compression, then it is further compressed losslessly by arithmetic coding. It is shown that the scheme achieves the rate-distortion bound asymptotically with a good empirical performance. It is also shown that the distortion of the scheme has a better second-order exponent than those of the other polar coding schemes.

关键词： polar codes arithmetic coding lossy source coding second-order exponent

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A new efficient context-based relative-directional chain coding

A new efficient context-based relative-directional chain cod...

引用

6th IEEE International Symposium on Signal Processing and Information Technology

作者： Zhou, Lele Zahir, Saif Univ Northern British Columbia Dept Comp Sci 3333 Univ Way Prince George BC V2N 4Z9 Canada

ISBN: (纸本)9780780397538

Chain coding is widely used in a variety of image processing applications. In this paper, we present a new chain coding scheme: context-based relative-directional chain coding (CRCC). It applies a novel context modeling with adaptive arithmetic coding to encode contour images. The proposed context modeling is based on the relative-directional chain representation. It provides a favorable conditional probability for the next encoding pixel so that the arithmetic coding is efficiently performed. The experimental results shows that the CRCC coding scheme overall outperforms the Chain coding (CC), Differential Chain coding (DCC) and Differential Chain coding Mode-8 (DCC-8). More importantly, the proposed CRCC coding scheme completely avoids the cost in computation of eight-directional chain codes and its associated sequence of differences.

关键词： chain coding arithmetic coding contour representation data compression

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Burrows-Wheeler Transform and Combination of Move-to-Front coding and Run Length Encoding for Lossless Audio coding 9

Burrows-Wheeler Transform and Combination of Move-to-Front C...

引用

9th International Conference on Computer Engineering & Systems (ICCES)

作者： Elsayed, Hend. A. Delta Univ Sci & Technol Fac Engn Dept Commun & Comp Engn Mansoura Egypt

ISBN: (纸本)9781479965946

This paper presents a lossless audio coding using Burrows-Wheeler Transform (BWT) and a combination of a Move-To-Front coding (MTF) and Run Length Encoding (RLE). Audio signals used are assumed to be of floating point values. The BWT is applied to this floating point values to get the transformed coefficients;and then these resulting coefficients are converted using the Move-to-Front coding to coefficients can be better compressed and then these resulting coefficients are compressed using a combination of the Run Length Encoding, and entropy coding. Two entropy coding are used which are arithmetic and Huffman coding. Simulation results show that the proposed lossless audio coding method outperforms other lossless audio coding methods;using only Burrows-Wheeler Transform method, using combined Burrows-Wheeler Transform and Move-to-Front coding method, and using combined Burrows-Wheeler Transform and Run Length Encoding method.

关键词： Audio coding Burrows-Wheeler Transform Move-To-Front coding Run Length Encoding Entropy coding arithmetic coding Huffman coding

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Edge-based Transformation and Entropy coding for Lossless Image Compression

Edge-based Transformation and Entropy Coding for Lossless Im...

引用

International Conference on Electrical, Computer and Communication Engineering (ECCE)

作者： Kabir, Md. Ahasan Mondal, M. Rubaiyat Hossain Bangladesh Univ Engn & Technol Inst Informat & Commun Technol Dhaka Bangladesh

ISBN: (纸本)9781509056279

In the digital world, the size of images is an important challenge when dealing with the storage and transmission requirements. Compression is one of the fundamental techniques to address this problem. A number of transform based compression techniques are discussed in the literature and some are used in practice. In this paper, we propose an edge-based image transformation method which will be used with an entropy encoding technique to greatly reduce image size without loss in content. In the first stage of the proposed transform scheme, the intensity difference of neighboring pixels is calculated in the horizontal or vertical direction depending on the presence of a horizontal or vertical edge. In the second stage, the intensity differences are used to form two matrixes one containing the absolute intensity difference and the other having the polarity of the differences. Next, Huffman or arithmetic entropy coding is applied on the generated matrixes. The proposed edge-based transformation and entropy coding (ETEC) scheme is compared to the existing lossless compression techniques: Joint Photographic Experts Group Lossless (JPEG-LS) and Set Partitioning in Hierarchical Trees (SPIHT). Simulation results show that the proposed ETEC scheme can provide better compression compared to JPEG-LS and SPIHT algorithms for pixelated images that are used for data communication between a computer screen and a camera.

关键词： arithmetic coding Huffman coding intensity J bit encoding JPEG-LS wavelet transform SPIHT

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A Novel Agent-Based Modeling Approach for Image coding and Lossless Compression Based on the Wolf-Sheep Predation Model 18th

A Novel Agent-Based Modeling Approach for Image Coding and L...

引用

18th International Conference on Computational Science (ICCS)

作者： Dhou, Khaldoon Univ Missouri St Louis MO 63121 USA

ISBN: (纸本)9783319937014;9783319937007

In this article, the researcher develops an image coding technique which is based on the wolf-sheep predation model. In the design, images are converted to virtual worlds of sheep, routes and wolves. Wolves in this model wander around searching for sheep while the algorithm tracks their movement. A wolf has seven movements which capture all the directions of the wolf. In addition, the researcher introduces one extra move of the wolf the purpose of which is to provide a shorter string of movements and to enhance the compression ratio. The first coordinates and the movements of the wolf are tracked and recorded. Then, arithmetic coding is applied on the string of movements to further compress it. The algorithm was applied on a set of images and the results were compared with other algorithms in the research community. The experimental results reveal that the size of the compressed string of wolf movements offer a higher reduction in space and the compression ratio is higher than those of many existing compression algorithms including G3, G4, JBIG1, JBIG2 and the recent agent-based model of ant colonies.

关键词： Agent-based modeling Wolf-sheep predation model Binary image coding Compression arithmetic coding

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Embedded morphological dilation coding for 2D and 3D images

Embedded morphological dilation coding for 2D and 3D images

引用

Conference on Visual Communications and Image Processing 2002

作者： Lazzaroni, F Signoroni, A Leonardi, R Univ Brescia DEA Signals & Commun Lab I-25123 Brescia Italy

ISBN: (纸本)0819444111

Current wavelet-based image coders obtain high performance thanks to the identification and the exploitation of the statistical properties of natural images in the transformed domain. Zerotree-based algorithms, as "Embedded Zerotree Wavelets" (EZW) and "Set Partitioning In Hierarchical Trees" (SPIHT), offer high Rate-Distortion (RD) coding performance and low computational complexity by exploiting statistical dependencies among insignificant coefficients on hierarchical subband structures. Another possible approach tries to predict the clusters of significant coefficients by means of some form of morphological dilation. An example of a morphology-based coder is the "Significance-Linked Connected Component Analysis" (SLCCA) that has shown performance which are comparable to the zerotree-based coders but is not embedded. A new embedded bit-plane coder is proposed here based on morphological dilation of significant coefficients and context based arithmetic coding. The algorithm is able to exploit both intra-band and inter-band statistical dependencies among wavelet significant coefficients. Moreover, the same approach is used both for two and three-dimensional wavelet-based image compression. Finally the algorithms are tested on some 2D images and on a medical volume, by comparing the RD results to those obtained with the state-of-the-art wavelet-based coders.

关键词： 2D and 3D image coding wavelet transform embedding arithmetic coding morphology

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