Publications

A. Elkelesh, M. Ebada, S. Cammerer, und S. t. Brink. Flexible Length Polar Codes through Graph Based Augmentation. SCC 2017; 11th International ITG Conference on Systems, Communications and Coding, 1-6, Februar 2017. [PUMA: coding] URL

Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, und Stephan ten Brink. On Recurrent Neural Networks for Sequence-based Processing in Communications. 2019 53rd Asilomar Conference on Signals, Systems, and Computers, 537-543, 2019. [PUMA: coding ml myown] URL

Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, und Stephan ten Brink. On Recurrent Neural Networks for Sequence-based Processing in Communications. 2019. [PUMA: myown from:sdnr coding ml] URL

Thomas Richter. On the duality of rate allocation and quality indices. Picture Coding Symposium (PCS), 270-273, Nagoya, Japan, Dezember 2010. [PUMA: approximation coding compression, data image theory,] URL

Zhe Wang, D. Chanda, S. Simon, und T. Richter. Memory efficient lossless compression of image sequences with JPEG-LS and temporal prediction. Picture Coding Symposium (PCS), 2012, 305-308, Mai 2012. [PUMA: 2000;JPEG-LS;context coding coding;Image coding;image compression;image compression;memory compression;still data efficient encoder;lossy frame images;temporal lossless lossy management;Standards;Transform modeling;embedded prediction;Context;Encoding;Image prediction;temporal-extended reference requirement;online sequences;JPEG sequences;Memory sequences;lossless systems;image] URL

Thomas Richter. Compressing JPEG 2000 JPIP Cache State Information. In James A. Storer Michael W. Marcellin (Hrsg.), Data Compression Conference (DCC), 2012, 13-21, IEEE, Snowbird, Utah, USA, April 2012. [PUMA: (mathematics);JPEG 2000 2000;JPIP;Zero-Tree Coding JPIP adjustment algorithm;Context;Data browsing cache coding;Image coding;JPEG coding;protocols;trees compression compression;JPIP compression;image data data;interactive databases;modified image information model model;embedded models;Encoding;Image protocol;medical request requests;JPIP resolution;Servers;Transform scheme;http server;cache state syntax;image type zero-tree] URL

Thomas Richter. Perceptual Image Coding by Standard-Constraint Codecs. Picture Coding Symposium, 2009. PCS 2009, 1-4, Chicago, IL, USA, Mai 2009. [PUMA: 2000;JPEG-XR;codestreams;digital codec;standard-constraint codecs;Code codecs;data coding coding;JPEG coding;Pipelines;Pixel;Standardization;Transform coding;perceptual compression compression;image image images;perceivable loss;perceptual quality standards;Codecs;Decoding;Humans;ISO standards;Image] URL

Zhe Wang, D. Chanda, S. Simon, und T. Richter. Memory efficient lossless compression of image sequences with JPEG-LS and temporal prediction. Picture Coding Symposium (PCS), 2012, 305-308, Mai 2012. [PUMA: 2000;JPEG-LS;context coding coding;Image coding;image compression;image compression;memory compression;still data efficient encoder;lossy frame images;temporal lossless lossy management;Standards;Transform modeling;embedded prediction;Context;Encoding;Image prediction;temporal-extended reference requirement;online sequences;JPEG sequences;Memory sequences;lossless systems;image] URL

Thomas Richter. Compressing JPEG 2000 JPIP Cache State Information. In James A. Storer Michael W. Marcellin (Hrsg.), Data Compression Conference (DCC), 2012, 13-21, IEEE, Snowbird, Utah, USA, April 2012. [PUMA: (mathematics);JPEG 2000 2000;JPIP;Zero-Tree Coding JPIP adjustment algorithm;Context;Data browsing cache coding;Image coding;JPEG coding;protocols;trees compression compression;JPIP compression;image data data;interactive databases;modified image information model model;embedded models;Encoding;Image protocol;medical request requests;JPIP resolution;Servers;Transform scheme;http server;cache state syntax;image type zero-tree] URL

Thomas Richter. Perceptual Image Coding by Standard-Constraint Codecs. Picture Coding Symposium, 2009. PCS 2009, 1-4, Chicago, IL, USA, Mai 2009. [PUMA: 2000;JPEG-XR;codestreams;digital codec;standard-constraint codecs;Code codecs;data coding coding;JPEG coding;Pipelines;Pixel;Standardization;Transform coding;perceptual compression compression;image image images;perceivable loss;perceptual quality standards;Codecs;Decoding;Humans;ISO standards;Image] URL

Thomas Richter. On the duality of rate allocation and quality indices. Picture Coding Symposium (PCS), 270-273, Nagoya, Japan, Dezember 2010. [PUMA: approximation coding compression, data image theory,] URL