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DCC 2013 : Data Compression Conference

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Conference Series : Data Compression Conference
 
Link: http://pages.cs.brandeis.edu/~dcc/
 
When Mar 20, 2013 - Mar 22, 2013
Where Snowbird, UT, USA
Submission Deadline Nov 5, 2012
Categories    data compression
 

Call For Papers

Theme:

An international forum for current work on data compression and related applications. The conference addresses compression methods for specific types of data (text, images, video, audio, medical, scientific, space, graphics, web content, etc.), and the use of techniques from information theory and data compression in networking, communications, and storage applications involving large data sets, (including image and information mining, retrieval, archiving, backup, communications, and HCI). Both theoretical and experimental work are of interest. Topics of interest include but are not limited to: Lossless and lossy compression algorithms for specific types of data (text, images, multi-spectral and hyper-spectral images, palette images, video, speech, music, maps, instrument and sensor data, space data, earth observation data, graphics, 3D representations, animation, bit-maps, etc.), source coding, text compression, joint source-channel coding, multiple description coding, quantization theory, vector quantization (VQ), multiple description VQ, compression algorithms that employ transforms (including DCT and wavelet transforms), bi-level image compression, gray scale and color image compression, video compression, movie compression, geometry compression, speech and audio compression, compression of multi-spectral and hyper-spectral data, compression of science, weather, and space data, source coding in multiple access networks, parallel compression algorithms and hardware, fractal based compression methods, error resilient compression, adaptive compression algorithms, string searching and manipulation used in compression applications, closest-match retrieval in compression applications, browsing and searching compressed data, content based retrieval employing compression methods, steganography with respect to compressed data and the hiding of information in compressed data sets, minimal length encoding and applications to learning, system issues relating to data compression (including error control, data security, indexing, and browsing), medical imagery storage and transmission, compression of web graphs and related data structures, compression applications and issues for computational biology, compression applications and issues for the internet, compression applications and issues for mobile computing, applications of compression to file distribution and software updates, applications of compression to files storage and backup systems, applications of compression to data mining, applications of compression to information retrieval, applications of compression to image retrieval, applications of compression and information theory to human-computer interaction (HCI), applications of compression to bioinformatics, compression standards (including the JPEG, MPEG, H.xxx, and G.xxx families), compressed sensing / compressive sampling.

Special Topic for 2013:

High Efficiency Video Coding Standard (HEVC)
DCC2013 will additionally feature HEVC with a keynote address and a special session.


Keynote Address:

The Arrival of the High Efficiency Video Coding Standard (HEVC)
Gary J. Sullivan
Co-Chairman, Joint Collaborative Team on Video Coding (JCT-VC) Video & Image Technology Architect
Microsoft Corporation


Special Session:

High Efficiency Video Coding: The New International Standard and Potential Enhancements
Gary J. Sullivan and Yuriy Reznik, special-session chairs
Authors are invited to submit papers covering all aspects of the HEVC standard as well as potential improvements and enhancements to the standard. Authors may designate their paper for consideration for the special session at the time of submission; special-session submissions will be subject to the regular review process.

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ICDMML 2019   2019 International Conference on Data Mining and Machine Learning
CLIC 2018   CVPR 2018- Workshop and Challenge on Learned Image Compression
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