Proceedings DCC 2002. Data Compression Conference最新文献

Combining FEC and optimal soft-input source decoding for the reliable transmission of correlated variable-length encoded signals 将FEC与最优软输入源解码相结合，实现相关变长编码信号的可靠传输

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999946

J. Kliewer, R. Thobaben

引用次数: 30

Progressive coding of palette images and digital maps 调色板图像和数字地图的渐进编码

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999974

S. Forchhammer, J. M. Salinas

引用次数: 18

Perceptual preprocessing techniques applied to video compression: some result elements and analysis 应用于视频压缩的感知预处理技术:一些结果元素及分析

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000006

Gwenaelle Marquant

{"title":"Perceptual preprocessing techniques applied to video compression: some result elements and analysis","authors":"Gwenaelle Marquant","doi":"10.1109/DCC.2002.1000006","DOIUrl":"https://doi.org/10.1109/DCC.2002.1000006","url":null,"abstract":"Summary form only given. The developments in video coding research deal with solutions to improve the picture quality while decreasing the bit rates. However, no major breakthrough in compression emerged and low bit rate high quality video compression is still an open issue. The compression scheme is generally decomposed into two stages: coding and decoding. In order to improve the compression efficiency, a complementary solution may consist in introducing a preprocessing stage before the encoding process or/and a post-processing step after decoding. For this purpose, instead of using the usual (Y, U, V) representation space to compress the video signal, where the video is encoded along different separate channels (luminance Y, chrominance U, chrominance V), we propose to choose other channels by means of a color preprocessing based upon perceptual and physics-based approaches. We compare an original H.26L encoder (ITU standard for video coding), i.e. without preprocessing, and the same H.26L encoder with a preprocessing stage to evaluate the extent to which the preprocessing stage increases the compression efficiency, in particular with perceptual solutions.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"30 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":"124692460","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: 6

A source coding approach to classification by vector quantization and the principle of minimum description length 一种基于矢量量化和最小描述长度原则的源编码分类方法

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999978

Jia Li

{"title":"A source coding approach to classification by vector quantization and the principle of minimum description length","authors":"Jia Li","doi":"10.1109/DCC.2002.999978","DOIUrl":"https://doi.org/10.1109/DCC.2002.999978","url":null,"abstract":"An algorithm for supervised classification using vector quantization and entropy coding is presented. The classification rule is formed from a set of training data {(X/sub i/, Y/sub i/)}/sub i=1//sup n/, which are independent samples from a joint distribution P/sub XY/. Based on the principle of minimum description length (MDL), a statistical model that approximates the distribution P/sub XY/ ought to enable efficient coding of X and Y. On the other hand, we expect a system that encodes (X, Y) efficiently to provide ample information on the distribution P/sub XY/. This information can then be used to classify X, i.e., to predict the corresponding Y based on X. To encode both X and Y, a two-stage vector quantizer is applied to X and a Huffman code is formed for Y conditioned on each quantized value of X. The optimization of the encoder is equivalent to the design of a vector quantizer with an objective function reflecting the joint penalty of quantization error and misclassification rate. This vector quantizer provides an estimation of the conditional distribution of Y given X, which in turn yields an approximation to the Bayes classification rule. This algorithm, namely discriminant vector quantization (DVQ), is compared with learning vector quantization (LVQ) and CART/sup R/ on a number of data sets. DVQ outperforms the other two on several data sets. The relation between DVQ, density estimation, and regression is also discussed.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"55 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":"130321983","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: 6

Compressor performance, absolutely! 压缩机性能，绝对!

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000017

M. Titchener

引用次数: 2

Image coding with the MAP criterion 使用MAP标准进行图像编码

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999996

T. Eriksson, John B. Anderson, M. Novak

引用次数: 2

Overhead-constrained rate-allocation for scalable video transmission over networks 网络上可扩展视频传输的开销约束速率分配

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999998

Bo Hong, Aria Nosratinia

{"title":"Overhead-constrained rate-allocation for scalable video transmission over networks","authors":"Bo Hong, Aria Nosratinia","doi":"10.1109/DCC.2002.999998","DOIUrl":"https://doi.org/10.1109/DCC.2002.999998","url":null,"abstract":"Summary form only given. Forward error correction (FEC) based schemes are use widely to address the packet loss problem for Internet video. Given total available bandwidth, finding optimal bit allocation is very important in FEC-based video, because the FEC bit rate limits the rate available to compress video. We want to give proper protection to the source, but also prevent unwanted FEC rate expansion. The rate of packet headers is often ignored in allocating bit rate. We show that this packetization overhead has significant influence on system performance in many cases. Decreasing packet size increases the rate of packet headers, thus reducing the available rate for the source and its FEC codes. On the other hand, smaller packet size allows a larger number of packets, in which case it can be shown that the efficiency of FEC codes improves. We show that packet size should be optimized to balance the effect of packet headers and the efficiency of FEC codes. We develop a probabilistic framework for the solution of rate allocation problem in the presence of packet overhead. We implement our solution on the MPEG-4 fine granularity scalability (FGS) mode. To show the flexibility of our technique, we use an unequal error protection scheme with FGS. Experimental results show that our overhead-constrained method leads to significant improvements in reconstructed video quality.","PeriodicalId":420897,"journal":{"name":"Proceedings DCC 2002. Data Compression Conference","volume":"79 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":"132161557","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

Data compression of correlated non-binary sources using punctured turbo codes 使用穿孔涡轮码的相关非二进制源数据压缩

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999962

Ying Zhao, J. Garcia-Frías

引用次数: 58

Context tree compression of multi-component map images 多分量地图图像的上下文树压缩

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.999959

P. Kopylov, P. Fränti

引用次数: 9

Semi-discrete matrix transforms (SDD) for image and video compression 半离散矩阵变换(SDD)用于图像和视频压缩

Proceedings DCC 2002. Data Compression Conference Pub Date : 2002-04-02 DOI: 10.1109/DCC.2002.1000027

Sacha Zyto, A. Grama, W. Szpankowski

引用次数: 10