Proceedings DCC '95 Data Compression Conference最新文献_第10页

Parallel algorithms for the static dictionary compression 静态字典压缩的并行算法

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515506

H. Nagumo, Mi Lu, K. Watson

引用次数: 20

Subband coding methods for seismic data compression 地震数据压缩的子带编码方法

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515557

A. Kiely, F. Pollara

{"title":"Subband coding methods for seismic data compression","authors":"A. Kiely, F. Pollara","doi":"10.1109/DCC.1995.515557","DOIUrl":"https://doi.org/10.1109/DCC.1995.515557","url":null,"abstract":"Summary form only given. A typical seismic analysis scenario involves collection of data by an array of seismometers, transmission over a channel offering limited data rate, and storage of data for analysis. Seismic data analysis is performed for monitoring earthquakes and for planetary exploration as in the planned study of seismic events on Mars. Seismic data compression systems are required to cope with the transmission of vast amounts of data over constrained channels and must be able to accurately reproduce occasional high energy seismic events. We propose a compression algorithm that includes three stages: a decorrelation stage based on subband coding, a quantization stage that introduces a controlled amount of distortion to allow for high compression ratios, and a lossless entropy coding stage based on a simple but efficient block-adaptive arithmetic coding method. Adaptivity to the non-stationary behavior of the waveform is achieved by partitioning the data into blocks which are encoded separately. The compression ratio of the proposed scheme can be set to meet prescribed fidelity requirements, i.e. the waveform can be reproduced with sufficient fidelity for accurate interpretation and analysis. The distortions incurred by this compression scheme are currently being evaluated by several seismologists. Encoding is done with high efficiency due to the low overhead required to specify the parameters of the arithmetic encoder. Rate-distortion performance results on seismic waveforms are presented for various filter banks and numbers of levels of decomposition.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114896874","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: 5

An investigation of effective compression ratios for the proposed synchronous data compression proto 提出的同步数据压缩原型的有效压缩比的研究

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515597

R. R. Little

引用次数: 0

A comparison of the Z, E/sub 8/ and Leech lattices for image subband quantization 用于图像子带量化的Z、E/sub 8/和Leech格的比较

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515521

Zheng Gao, Feng Chen, B. Belzer, J. Villasenor

引用次数: 10

Vector quantization and clustering: a pyramid approach 向量量化和聚类:金字塔方法

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515592

D. Tamir, Chi-Yeon Park, Wook-Sung Yoo

引用次数: 8

Matching pursuit video coding at very low bit rates 匹配追踪视频编码在非常低的比特率

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515531

Ralph Neff, A. Zakhor

引用次数: 37

Real-time VLSI compression for high-speed wireless local area networks 高速无线局域网的实时VLSI压缩

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515541

Bongjin Jung, W. Burleson

{"title":"Real-time VLSI compression for high-speed wireless local area networks","authors":"Bongjin Jung, W. Burleson","doi":"10.1109/DCC.1995.515541","DOIUrl":"https://doi.org/10.1109/DCC.1995.515541","url":null,"abstract":"Summary form only presented; substantially as follows. Presents a new compact, power-efficient, and scalable VLSI array for the first Lempel-Ziv (LZ) algorithm to be used in high-speed wireless data communication systems. Lossless data compression can be used to inexpensively halve the amount of data to be transmitted, thus improving the effective bandwidth of the communication channel and in turn, the overall network performance. For wireless networks, the data rate and latency requirement are appropriate for a dedicated VLSI implementation of LZ compression. The nature of wireless networks requires that any additional VLSI hardware also be small, low-power and inexpensive. The architecture uses a novel custom systolic array and a simple dictionary FIFO which is implemented using conventional SRAM. The architecture consists of M simple processing elements where M is the maximum length of the string to be replaced with a codeword, which for practical LAN applications, can range from 16 to 32. The systolic cell has been optimized to remove any superfluous state information or logic, thus making it completely dedicated to the task of LZ compression. A prototype chip has been implemented using 2 /spl mu/s CMOS technology. Using M=32, and assuming a 2:1 compression ratio, the system can process approximately 90 Mbps with a 100 MHz clock rate.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132117354","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: 8

Lossless region coding schemes 无损区域编码方案

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515591

M. Turner

引用次数: 0

Convergence of fractal encoded images 分形编码图像的收敛性

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515514

J. Kominek

引用次数: 23

Quantization distortion in block transform-compressed data 块变换压缩数据的量化失真

Proceedings DCC '95 Data Compression Conference Pub Date : 1995-03-28 DOI: 10.1109/DCC.1995.515537

A. Boden

{"title":"Quantization distortion in block transform-compressed data","authors":"A. Boden","doi":"10.1109/DCC.1995.515537","DOIUrl":"https://doi.org/10.1109/DCC.1995.515537","url":null,"abstract":"Summary form only given, as follows. The JPEG image compression standard is an example of a block transform-based compression scheme; the image is systematically subdivided into blocks that are individually transformed, quantized, and encoded. The compression is achieved by quantizing the transformed data, reducing the data entropy and thus facilitating efficient encoding. Block transform compression schemes exhibit sharp discontinuities at data block boundaries: this phenomenon is a visible manifestation of the compression quantization distortion. For example, in compression algorithms such as JPEG these blocking effects manifest themselves visually as discontinuities between adjacent 8×8 pixel image blocks. In general the distortion characteristics of block transform-based compression techniques are understandable in terms of the properties of the transform basis functions and the transform coefficient quantization error. In particular, the blocking effects exhibited by JPEG are explained by two simple observations demonstrated in this work: a disproportionate fraction of the total quantization error accumulates on block edge pixels; and the quantization errors among pixels within a compression block are highly correlated, while the quantization errors between pixels in separate blocks are uncorrelated. A generic model of block transform compression quantization noise is introduced, applied to synthesized and real one and two dimensional data using the DCT as the transform basis, and results of the model are shown to predict distortion patterns observed in data compressed with JPEG.","PeriodicalId":107017,"journal":{"name":"Proceedings DCC '95 Data Compression Conference","volume":"21 1-3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1995-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123873608","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: 2