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[Proceedings] DCC `93: Data Compression Conference最新文献

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Wavelet transform-vector quantization compression of supercomputer ocean models 超级计算机海洋模型的小波变换矢量量化压缩
[Proceedings] DCC `93: Data Compression Conference Pub Date : 1992-11-12 DOI: 10.1109/DCC.1993.253127
J. Bradley, C. Brislawn
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引用次数: 14
Low bit rate coding of Earth science images 地球科学图像的低比特率编码
[Proceedings] DCC `93: Data Compression Conference Pub Date : 1900-01-01 DOI: 10.1109/DCC.1993.253112
F. Kossentini, W. Chung, Mark J. T. Smith
{"title":"Low bit rate coding of Earth science images","authors":"F. Kossentini, W. Chung, Mark J. T. Smith","doi":"10.1109/DCC.1993.253112","DOIUrl":"https://doi.org/10.1109/DCC.1993.253112","url":null,"abstract":"The approach is based on some advances in the area of variable rate residual vector quantization considered separately, and in conjunction with subband image decomposition. Comparisons illustrate the improvement in performance attributable to this approach relative to the JPEG coding standard.<<ETX>>","PeriodicalId":315077,"journal":{"name":"[Proceedings] DCC `93: Data Compression Conference","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126920025","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
A high performance adaptive image compression system using a generative neural network: DynAmic Neural Network II (DANN II) 基于生成神经网络的高性能自适应图像压缩系统:动态神经网络II (DANN II)
[Proceedings] DCC `93: Data Compression Conference Pub Date : 1900-01-01 DOI: 10.1109/DCC.1993.253129
Andres Rios, M. Kabuka
{"title":"A high performance adaptive image compression system using a generative neural network: DynAmic Neural Network II (DANN II)","authors":"Andres Rios, M. Kabuka","doi":"10.1109/DCC.1993.253129","DOIUrl":"https://doi.org/10.1109/DCC.1993.253129","url":null,"abstract":"The system is guaranteed theoretically to compress to any feasible rate, with as low a distortion rate as required. It also exhibits user selectable compression and error rates, ability to compress general data types, and adaptation to the data source. The compression system is based on a novel family of connectionist algorithms and generative algorithms used in conjunction with new artificial neural network models that permit the determination of a quasi-optimal architecture for compressing a given data source.<<ETX>>","PeriodicalId":315077,"journal":{"name":"[Proceedings] DCC `93: Data Compression Conference","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126735984","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: 1
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