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检索条件"主题词=entropy coding"

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Word-based block-sorting text compression

Word-based block-sorting text compression

引用

Australasian Computer Science Conference

作者： R.Y.K. Isal A. Moffat Department of Computer Science and Software Engineering University of Melbourne VIC Australia

ISBN: (纸本)0769509630

Block sorting is an innovative compression mechanism introduced in by M. Burrows and D.J. Wheeler (1994). It involves three steps: permuting the input one block at a time through the use of the Burrows-Wheeler transform (BWT); applying a move-to-front (MTF) transform to each of the permuted blocks; and then entropy coding the output with a Huffman or arithmetic coder. Until now, block-sorting implementations have assumed that the input message is a sequence of characters. In this paper, we extend the block-sorting mechanism to word-based models. We also consider other transformations as an alternative to MTF, and are able to show improved compression results compared to MTF. For large text files, the combination of word-based modelling, BWT and MTF-like transformations allows excellent compression effectiveness to be attained within reasonable resource costs.

关键词： Dictionaries entropy coding Arithmetic Costs Computer science Software engineering Decoding Frequency Tree data structures

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Overlap in adaptive vector quantization

Overlap in adaptive vector quantization

引用

Data Compression Conference (DCC)

作者： F. Rizzo J.A. Storer Computer Science Department Brandeis University Waltham MA USA

ISBN: (纸本)0769510310

Constantinescu and Storer (1994) introduced an adaptive single-pass vector quantization algorithm (AVQ) that employs variable size and shaped codebook entries that are "learned" as an image is processed (no specific training or prior knowledge of the data is used). The approach allows the tradeoff between compression and fidelity to be continuously adjusted from lossless (with less compression) to highly lossy (with greater compression). Although practical performance compares favorably with the JPEG standard as well as standard trained vector quantization implementations, analysis of its performance appears difficult. A key aspect of AVQ is that matches are allowed to overlap, and it is not necessary to perform some sort of bin packing in order to cover the image with variable size and shape matches. Here we show that the AVQ approach is in some sense optimal asymptotically, module the overlapping factor which is defined to be the average number of times that a pixel is covered. We also present experiments that study the relationship of overlapping to performance.

关键词： Vector quantization Dictionaries Image coding Computer science Performance analysis Shape Transform coding entropy coding Performance loss Data compression

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The turbo principle in joint source channel decoding of variable length codes

The turbo principle in joint source channel decoding of vari...

引用

IEEE (first ITW conference of the year) Information Theory Workshop (ITW)

作者： J. Hagenauer R. Bauer Institute for Communications Engineering (LNT) Munich University of Technology Germany

The turbo principle has been widely applied to various detection/decoding problems in recent years. Here we show how the general idea can be extended to a communication scheme where a variable length code is used for data compression followed by a channel code to protect the data against channel errors. Iterations are performed between the channel decoder and the decoder for the variable length source code. Since the exchange of extrinsic information is essential for the performance of turbo decoding schemes we describe how EXIT-charts can be applied to predict the performance of the iterative source-channel decoding approach.

关键词： Iterative decoding World Wide Web Performance analysis Data compression Protection Iterative methods entropy coding Digital audio players Video compression Streaming media

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Efficient fine granular scalable video coding

Efficient fine granular scalable video coding

引用

IEEE International Conference on Image Processing

作者： C. Buchner T. Stockhammer D. Marpe G. Blattermann G. Heising Institute for Communications Eng. (LNT) Munich University of Technology (TUM) Munich Germany Image Processing Department Heinrich-Hertz-Institute (RRI) Berlin Germany

We present an efficient fine granular scalable video compression scheme which supports a fast bit rate adaptation independent of the encoder. The proposed scheme generates an embedded bitstream for each frame or, by appropriate multiplexing, for each group of picture. This rate-scalability is supported by an embedded bitstream which allows decoding at multiple rates, or to be more specific at virtually any rate. Drift removing techniques based on intra refresh or feedback mechanisms are presented. We show the potential of this video codec for variable bit rate channels as well as in combination with an unequal erasure protection scheme for error robust and efficient transmission over packet erasure channels. Possible enhancements of the presented coding schemes are discussed.

关键词： Video coding Codecs Testing Design for disassembly Motion estimation Motion control entropy coding Image coding Motion compensation Image processing

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Advanced image compression techniques: comparative functionalities and performances

Advanced image compression techniques: comparative functiona...

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International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service (TELSIKS)

作者： Z. Bojkovic D. Milovanovic Fac. of Transp. Eng. Belgrade Univ. Serbia

With the increasing use of multimedia techniques, image compression requires higher performance as well as new features. Image coding standards, including some newly developed ones (MPEG-4 VTC, JPEG2000), are reviewed. A comparative analysis of their performances and functionalities is also given. The results show that the choice of the best standard depends strongly on the application at hand, but that JPEG2000 supports the widest set of features among the evaluated standards, while providing superior rate-distortion performance in most cases.

关键词： Image coding Transform coding ISO standards Standards development Image analysis entropy coding Color Discrete cosine transforms Huffman coding Performance analysis

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A lossless image compression using context modeling prediction errors and error feedback

A lossless image compression using context modeling predicti...

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International Forum on Strategic Technology, IFOST

作者： Hyung Suk Chu Sang Jin Cho Jae Sun Park Chong Koo An Chung Sun Kang School of Electrical and Electronics Engineering University of Ulsan South Korea Department of Electronics Ulsan College Ulsan South Korea

A lossless image compression algorithm using the integer wavelet transform is proposed in this paper. The S+P wavelet transform is compared with the various integer coefficient filter banks (ICFB), and the 9/7 ICFB is applied to the wavelet transform. The compression ratios of the proposed algorithm are compared with those of the S+P transform for several different types of images.

关键词： Image coding Context modeling Feedback Wavelet transforms Filter bank Sun entropy coding Wavelet analysis Educational institutions Image resolution

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Motion compensated lifting wavelet and its application in video coding

Motion compensated lifting wavelet and its application in vi...

引用

IEEE International Conference on Multimedia and Expo (ICME)

作者： Lin Luo Jin Li Shipeng Li Zhenquan Zhuang Ya-Qin Zhang University of Science and Technology Hefei Anhui China Signal Processing Microsoft Research Limited Redmond WA USA Microsoft Research China Beijing China

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Video compression using context-based adaptive arithmetic coding

Video compression using context-based adaptive arithmetic co...

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IEEE International Conference on Image Processing

作者： D. Marpe G. Blattermann G. Heising T. Wiegand Image Processing Department Heinrich-Hertz-Institut Berlin Germany

A new entropy coding scheme for video compression is presented. Context models are utilized for efficient prediction of the coding symbols. A novel binary adaptive arithmetic coding technique is employed to match the conditional entropy of the coding symbols given the context model estimates. The adaptation is also employed to keep track of non-stationary symbol statistics. Our new approach has been integrated into the current ITU-T H.26L test model (TML) to demonstrate the performance gain. By using our new entropy coding scheme instead of the variable length code approach of the current TML, large bit-rate savings up to 32% can be achieved. As a remarkable outcome of our experiments, we observed that high gains are reached not only at high bit-rates, but also at very low rates.

关键词： Video compression Arithmetic Image coding entropy coding Context modeling Statistics Testing Video coding Image processing Predictive models

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Low-complexity transform coding with integer-to-integer transforms

Low-complexity transform coding with integer-to-integer tran...

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

作者： C.D. Giurcaneanu I. Tabus Signal Processing Laboratory Tampere University of Technology Tampere Finland

We propose the application of a new transform-based coding method in conjunction with Golomb-Rice (G-R) codes to lower significantly the complexity, which can be used in various applications, e.g. the multiple description coding. The theoretical evaluations predict no important loss in compression performance, while the complexity is considerably reduced. Since GR codes are very fast and well suited for exponentially decaying distributions, they were implemented during the last decade in image and audio compressors. In all these schemes, the selection of the code parameter is performed presuming Laplacian distribution of prediction errors. We derive the selection method for the GR code parameter also for the case of Gaussian inputs.

关键词： Transform coding Laplace equations Signal processing Laboratories Performance loss Compressors Communication systems Robustness entropy coding Yarn

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A least squares algorithm for efficient context-based adaptive arithmetic coding

A least squares algorithm for efficient context-based adapti...

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IEEE International Symposium on Circuits and Systems (ISCAS)

作者： G.A. Triantafyllidis M.G. Strintzis Information Processing Laboratory Aristotle University of Thessaloniki Thessaloniki Greece

ISBN: (纸本)0780366859

Discrete wavelet transforms are widely used for lossless image compression, The overall performance of these schemes may be further improved by properly designing efficient entropy coders. A novel technique for the implementation of context-based adaptive arithmetic entropy coding is presented in this paper. This technique is based on the prediction of the value of the current transform coefficient, employing a weighted least squares method, in order to achieve appropriate context selection for arithmetic coding. Experimental results illustrate and evaluate the performance of the proposed technique.

关键词： Least squares methods Arithmetic Probability Partitioning algorithms Discrete wavelet transforms entropy coding Pixel Information processing Laboratories Hardware

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