Proceedings DCC 2002. Data Compression Conference最新文献_第6页

A wavelet based low complexity embedded block coding algorithm 一种基于小波的低复杂度嵌入式分组编码算法

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999995

B. Das, S. Banerjee

引用次数: 0

A method for compressing lexicons 一种压缩词汇的方法

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000013

S. Ristov, Eric Guy Claude Laporte

引用次数: 2

Fast peak autocorrelation finding for periodicity-exploiting compression methods 周期利用压缩方法的快速峰值自相关发现

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999994

C. Constantinescu, R. Arps

引用次数: 0

PPMexe: PPM for compressing software PPMexe:压缩软件的PPM

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999957

M. Drinic, D. Kirovski

引用次数: 15

Rate-based versus distortion-based optimal joint source-channel coding 基于速率与基于失真的最优联合信信道编码

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/dcc.2002.999944

R. Hamzaoui, V. Stanković

{"title":"Rate-based versus distortion-based optimal joint source-channel coding","authors":"R. Hamzaoui, V. Stanković","doi":"10.1109/dcc.2002.999944","DOIUrl":"https://doi.org/10.1109/dcc.2002.999944","url":null,"abstract":"We consider a joint source-channel coding system that protects an embedded wavelet bitstream against noise using a finite family of channel codes with error detection and error correction capability. The performance of this system may be measured by the expected distortion or by the expected number of correctly received source bits subject to a target total transmission rate. Whereas a rate-based optimal solution can be found in linear time, the computation of a distortion-based optimal solution is prohibitive. Under the assumption of the convexity of the operational distortion-rate function of the source coder, we give a lower bound on the expected distortion of a distortion-based optimal solution that depends only on a rate-based optimal solution. Then we show that a distortion-based optimal solution provides a stronger error protection than a rate-based optimal solution and exploit this result to reduce the time complexity of the distortion-based optimization. Finally, we propose a fast iterative improvement algorithm that starts from a rate-based optimal solution and converges to a local minimum of the expected distortion. Experimental results for a binary symmetric channel with the SPIHT coder and JPEG 2000 show that our lower bound is close to optimal. Moreover, the solution given by our local search algorithm has about the same quality as a distortion-based optimal solution, whereas its complexity is much lower than that of the previous best solution.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130284630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 59

Quantization as histogram segmentation: globally optimal scalar quantizer design in network systems 作为直方图分割的量化:网络系统中全局最优标量量化器设计

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999968

D. Muresan, M. Effros

引用次数: 42

Index compression through document reordering 通过文档重新排序来压缩索引

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999972

Daniel K. Blandford, G. Blelloch

引用次数: 136

MPEG-7 binary format for XML data XML数据的MPEG-7二进制格式

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000010

U. Niedermeier, J. Heuer, A. Hutter, W. Stechele

{"title":"MPEG-7 binary format for XML data","authors":"U. Niedermeier, J. Heuer, A. Hutter, W. Stechele","doi":"10.1109/DCC.2002.1000010","DOIUrl":"https://doi.org/10.1109/DCC.2002.1000010","url":null,"abstract":"Summary form only given. For the MPEG-7 standard, a binary format for the encoding of XML data has been developed that meets a set of requirements that was derived from a wide range of targeted applications. The resulting key features of the binary format are: high data compression (up to 98% for the document structure), provision of streaming, dynamic update of the document structure, random order of transmission of XML elements as well as fast random access of data entities in the compressed stream. To provide these functionalities, a novel, schema-aware approach was taken that exploits the knowledge of standardized MPEG-7 schema. The XML schema definition is used to assign codes to the individual children of an XML element. These codes are signalled in binary format to select nodes in the XML description tree. The binary format bit stream is organized as a sequence of access units. Each access unit can be decoded independently and contains information about a fragment of the description (fragment payload) and where to place the fragment in the current tree (context path). Compared to the standard text compressor ZIP, or the XML-optimized tool XMill, the MPEG-7 binary format achieves a 2-5 times better compression of the document structure and provides additional functionalities. These increase the flexibility and make it useful in broadcast applications and scenarios with limited bandwidth.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2002-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117055187","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 3

Adaptive parametric vector quantization by natural type selection 基于自然类型选择的自适应参数矢量量化

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999979

Y. Kochman, R. Zamir

引用次数: 14

On coding of sources with two-sided geometric distribution using binary decomposition 双面几何分布源的二值分解编码

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000002

A. Krivoulets

引用次数: 3