DCC 2010 - Data Compression Conference (DCC 2010)

Data Compression Conference (DCC)
March 24 - 26, 2010
(Reception on Tuesday evening, March 23;
presentations on Wednesday, on Thursday, and on Friday morning.)

Snowbird, Utah
(All sessions to be held in the Cliff Lodge.)

Program Committee:
James A. Storer, Brandeis University (DCC Chair)
Michael W. Marcellin, University of Arizona (Committee Chair)
Henrique Malvar, Microsoft (Submissions Chair)
James E. Fowler, Mississippi State University (Publicity Chair)
Alberto Apostolico, Georgia Institute of Technology / Università di Padova
Ali Bilgin, University of Arizona
Charles D. Creusere, New Mexico State University
Hanying Feng, Brion Technologies
Vivek Goyal, Massachusetts Institute of Technology
Robert M. Gray, Stanford University
Sheila Hemami, Cornell University
Hamid Jafarkhani, University of California Irvine
Tamas Linder, Queen's University
Giovanni Motta, Hewlett-Packard
Gonzalo Navarro, University of Chile
Majid Rabbani, Eastman Kodak Co.
Yuriy Reznik, Qualcomm
Serap Savari, Texas A&M University
Khalid Sayood, University of Nebraska
Joan Serra-Sagrista, Universitat Autonoma Barcelona
Dafna Sheinwald, IBM Haifa Lab
Marcello Weinberger, HP Laboratories
Feng Wu, Microsoft Research Asia
Ram Zamir, Tel Aviv University

Theme:
An international forum for current work on data compression and related applications. The conference addresses not only compression methods for specific types of data (text, images, video, audio, medical, scientific, space, graphics, web content, etc.), but also 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, 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), data compression standards including the JPEG, JPEG2000, MPEG (MPEG1, MPEG2, MPEG4, MPEG7, etc.), H.xxx, and G.xxx families.

Submission Format:
There is not a template for DCC submissions. However, to facilitate a uniform review process, all submitted manuscripts must be pdf files that satisfy:
Each page should have a top margin of 1 inch and a left margin of 1.25 inches, and the text area on each page should be 9 inches high by 6 inches wide.
Do NOT use a two-column format; all submissions must have a single column format.
Use 12 point type.
The first page must begin with the title centered at the top, with the authors and their affiliations below the title. Following the title and authors, should be a short abstract, and following the abstract should be the start of the first section.
Manuscripts may NOT be more than 10 pages TOTAL, including all references, figures, tables, notes, and appendices.

Submission Instructions:
Submissions are due by November 20, 11:59pm U.S. Pacific Time, and must be submitted electronically by clicking on the following link:
https://cmt.research.microsoft.com/DCC2010

(This is an extension of the original date of Nov. 6, and is a firm deadline that cannot be extended further.)

Author Notification:
Authors will be notified via email by December 24 of acceptance as a paper, acceptance as a poster, or rejection. Accepted manuscripts must be submitted electronically to the publisher; the due date will be in early January. The letter of acceptance will include the exact due date, directions on where and how to make the electronic submission of the final manuscript, and directions for submitting a proceedings copyright form (do not include a copyright form with your submission - wait until your submission has been accepted and you receive directions).