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检索条件"主题词=entropy coding"

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Integrated rate control and entropy coding for JPEG 2000

Integrated rate control and entropy coding for JPEG 2000

引用

Data Compression Conference (DCC)

作者： W. Yu Department of Electrical and Computer Engineering University of Maryland College Park MD USA

In this paper, we present an integrated rate control and entropy coding (IREC) scheme for JPEG 2000. Based on an efficient heap-based rate allocation algorithm, the characteristics of image content, the subband coefficient and bitplane weighting models, and the user-specified optimization criteria, the proposed IREC scheme can selectively perform entropy coding only on those parts of image data that are likely to be included in the final bitstream. Since entropy coding is the most time and power consuming part, the IREC scheme can then reduce the overall computation and power consumption of JPEG 2000 encoding procedure. Both theoretical analysis and empirical results validate the advantages of the IREC scheme. For example, when encoding the Lenna color image with a targeted compression ratio of 128:1, compared with the separate rate control and entropy coding schemes, about 93% savings in computation and power consumption can be achieved on the entropy coding procedure.

关键词： entropy coding Image coding Transform coding Energy consumption Color Educational institutions MPEG 4 Standard Graphics Robustness Internet

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First-order multiplexed source codes for error-resilient entropy coding

First-order multiplexed source codes for error-resilient ent...

引用

IEEE International Symposium on Information Theory

作者： H. Jegou C. Guillemot IRISA University of Rennes I France IRISA INRIA USA

This paper describes a new class of variable length codes (VLCs) that allow to exploit first-order source statistics while still being resilient to transmission errors. This paper extends the work of [H. Jegou et al., (2003)] to take into account the source conditional probabilities. Theoretical performances in terms of compression efficiency and error resilience are analyzed.

关键词： entropy coding Error analysis Probability Resilience Performance analysis Signal generators Information resources Warranties Error correction codes Statistics

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Length-limited variable-to-variable length codes for high-performance entropy coding

Length-limited variable-to-variable length codes for high-pe...

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Data Compression Conference (DCC)

作者： J. Senecal M. Duchaineau K.I. Joy Institute for Scientific Computing Research Lawrence Livemore National Laboratory USA Center for Image Processing and Integrated Computing Computer Science Department University of California Davis USA Center for Applied Scientific Computing Lawrence Livemore National Laboratory USA

Arithmetic coding achieves a superior coding rate when encoding a binary source, but its lack of speed makes it an inferior choice when true high-performance encoding is needed. This paper presents the practical implementation of fast entropy coders for binary messages utilizing only bit shifts and table lookups. To limit code table size the proposed code lengths is limited with a type of variable-to-variable (VV) length code created from source string merging. This is referred to as "merged codes". With merged codes it is possible to achieve a desired level of speed by adjusting the number of bits read from the source at each step. The most efficient merged codes yield a coder with a worst-case inefficiency of 0.4%, relative to the Shannon entropy. Using a hybrid Golomb-VV bin coder the compression ratio that is competitive with other state-of-the-art coders, at a superior throughput is achieved.

关键词： entropy coding Image coding Table lookup Throughput Computational modeling Scientific computing Laboratories Degradation Arithmetic Image processing

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Fast object and pose recognition through minimum entropy coding

Fast object and pose recognition through minimum entropy cod...

引用

International Conference on Pattern Recognition

作者： G. Westphal R.P. Wurtz Institut für Neuroinformatik Ruhr Universität Bochum Bochum Germany

We present a pattern recognizer to classify a variety of objects and their pose on a table from real world images. Learning of weights in a linear discriminant is based on estimating the relative information contributed by a set of features to the final decision. Evaluation of the discriminant is very fast, allowing for about three decisions per second on datasets without segmentation difficulties like the COIL-100 database. Experiments on that database yield high recognition rates and good generalisation over pose.

关键词： entropy coding Feature extraction Spatial databases Pattern recognition Visual databases Layout Neural networks Multi-layer neural network Object recognition Image recognition

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Variable block-size transform and entropy coding at the enhancement layer of FGS [fine granularity scalable video coding]

Variable block-size transform and entropy coding at the enha...

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IEEE International Conference on Image Processing

作者： Jungong Han Xiaoyan Sung Feng Wu Shipeng Li Zhaoyang Lu ISN national laboratory of Xidian University Xi'an China Microsoft Research Asia Beijing China

ISBN: (纸本)0780385543

This paper proposes a variable block-size transform and context-based entropy coding techniques for the enhancement layer of FGS (fine granularity scalable) video coding. First, the variable block-size transform is introduced into the enhancement layer to improve the performance of FGS in terms of both visual quality and PSNR. Different from that used in the traditional single layer coding, an R-D selection algorithm is proposed to optimally decide the transform size of each block, under consideration of consistent performance at a range of bit rates. Furthermore, to fully take advantage of the characteristics and correlations of symbols coded in the FGS enhancement layer, different context models are designed for the arithmetic coding according to symbol type and transform size. Experimental results show that the coding efficiency of FGS can be increased by 0.2-0.90 dB with the proposed techniques.

关键词： entropy coding Discrete cosine transforms MPEG 4 Standard Video coding Bit rate Context modeling Arithmetic Scalability Motion compensation Laboratories

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Practical low bit rate predictive image coder using multi-rate processing and adaptive entropy coding

Practical low bit rate predictive image coder using multi-ra...

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IEEE International Conference on Image Processing

作者： A.N. Kim T.A. Ramstad Department of Telecommunications NTNU Trondheim Norway

The modified differential pulse coded modulation (DPCM) codec with multi-rate processing has been shown to able to efficiently code the source with monotonically decreasing spectrum at low bit rates [A.N. Kim and T.A. Ramstad]. A practical image coder is designed based on this approach. Two dimensional DPCM is used along with decimation and interpolation to reduce the number of transmitted samples. The decimation rate depends on the signal spectrum and the bit rate. Further bit rate reduction is achieved through adaptive entropy coding. Wiener filter is appended in the decoder for minimizing distortion caused by quantization noise. The decimation filter can be implemented using simple IIR filters. The necessary side information is low. Simulation results show that the coder is able to give good compression performance at low bit rates which is superior to conventional DPCM codec and JPEG. Subjective quality can be as good as JPEG2000. While at very low bit rates the proposed codec is able to retain certain image characteristics better than JPEG2000.

关键词： Bit rate entropy coding Codecs Transform coding Pulse modulation Wiener filter IIR filters Modulation coding Interpolation Decoding

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A NOVEL NEAR-LOSSLESS COMPRESSION OF AUDIO WAVEFORM

A NOVEL NEAR-LOSSLESS COMPRESSION OF AUDIO WAVEFORM

引用

2007中国宁波国际计算机科学与技术学术大会

作者： Mao Jiancan Li Yongmei Embedded System Audio CompressionXiamen University Embedded System Audio CompressionJimei University

A novel near-lossless compression approach to perceptual audio coding is presented in this *** algorithm is based the lossless compression approach and uses Base 2 Logarithm Algorithm to improve *** error is less than... 详细信息

关键词： Audio compression Near-lossless Embedded system Base 2 logarithm algorithm entropy coding

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A New Partial Codeword Updating Scheme Based on Rate-Distortion Optimization for Adaptive Vector Quantization

A New Partial Codeword Updating Scheme Based on Rate-Distort...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Kai Guo Lai-Man Po Department of Electronic Engineering City University of Hong Kong Kowloon Hong Kong China

In this paper, we propose a new adaptive vector quantization (AVQ) algorithm based on the rate-distortion optimization. This algorithm employs a new partial codeword updating (PCU) scheme which achieves rate-distortion performance superior to that of the conventional AVQ algorithms using the full codeword updating (FCU) scheme. The PCU-AVQ only updates the codeword's components with the quantization error higher than an optimal threshold instead of replacing the whole codeword. Additionally, the mathematical relation between the Lagrangian multiplier and the approximate optimal threshold is devised to reduce the rate-distortion cost computation. The experimental results show that the proposed PCU-AVQ algorithm indeed improves the rate-distortion performance without much computational complexity penalty. The PCU-AVQ can be combined with transform coding and entropy coding for higher compression ratio, and it can be widely implemented in specific AVQ algorithms for image, video and speech coding.

关键词： Rate-distortion Vector quantization Lagrangian functions Cost function Computational efficiency Computational complexity Transform coding entropy coding Image coding Video compression

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Context Quantization by Minimum Adaptive Code Length

Context Quantization by Minimum Adaptive Code Length

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IEEE International Symposium on Information Theory

作者： Soren Forchhammer Xiaolin Wu COM Department Technical University of Denmark Kongens Lyngby Denmark Department Electrical and Computer Engineering McMaster University Hamilton ONT Canada

ISBN: (纸本)9781424413973;1424414296;1424413974

Context quantization is a technique to deal with the issue of context dilution in high-order conditional entropy coding. We investigate the problem of context quantizer design under the criterion of minimum adaptive code length. A property of such context quantizers is derived for binary symbols. A fast context quantizer design algorithm for conditioning binary symbols is presented and its complexity analyzed. It is conjectured that this algorithm is optimal. The context quantization is performed in what may be perceived as a probability simplex space rather than in the space of context instances.

关键词： Quantization Adaptive coding Image coding Context modeling Algorithm design and analysis Costs entropy coding Statistics Source coding Random sequences

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Hybrid Variable Length coding in Video Compression using Variable Breakpoint

Hybrid Variable Length Coding in Video Compression using Var...

引用

IEEE International Conference on Image Processing

作者： Dihong Tian Pi Sheng Chang Wen H. Chen Cisco Systems Inc. USA

Hybrid variable length coding (HVLC) was recently proposed as a novel entropy coding scheme for block-based image and video compression, in observation of the inefficiency of the conventional run-level variable length coding scheme in coding consecutive nonzero transform coefficients. In HVLC, each transform block is partitioned into low-frequency and high-frequency regions, and the coefficients in the two regions are coded separately by different schemes. The partition of the transform block was performed based on a predefined, constant breakpoint. In this paper, we propose to partition the transform block using a variable breakpoint that is adaptive to the local context. We present a method to find one optimal breakpoint per transform block or per multi-block partition efficiently, and we show that by using variable breakpoint, the efficiency of HVLC can be improved considerably compared to the constant breakpoint case.

关键词： Video compression Image coding entropy coding Scattering Discrete cosine transforms Video coding Codecs Hafnium Statistics Partitioning algorithms

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