DCC: Data Compression Conference

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Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
DCC 2024 Data Compression Conference
Mar 19, 2024 - Mar 22, 2024 Cliff Lodge, Snowbird, UT, USA Nov 8, 2023
DCC 2019 Data Compression Conference
Mar 26, 2019 - Mar 29, 2019 Snowbird, Utah, USA Nov 1, 2019
DCC 2017 Data Compression Conference
Apr 4, 2017 - Apr 7, 2017 Utah, U.S. TBD
DCC 2015 Data Compression Conference
Apr 6, 2015 - Apr 9, 2015 Snowbird, Utah Nov 3, 2014
DCC 2013 Data Compression Conference
Mar 20, 2013 - Mar 22, 2013 Snowbird, UT, USA Nov 5, 2012
DCC 2012 Data Compression Conference
Apr 10, 2012 - Apr 12, 2012 Snowbird, UT, USA Nov 7, 2011
DCC 2011 Data Compression Conference
Mar 29, 2011 - Mar 31, 2011 Snowbird, UT, USA Nov 1, 2010
DCC 2010 Data Compression Conference
Mar 24, 2010 - Mar 26, 2010 Snowbird, UT, USA Nov 6, 2009
DCC 2009 Data compression conference
Mar 16, 2009 - Mar 18, 2009 Snowbird, Utah Nov 16, 2008
DCC 2008 Data Compression Conference
Mar 25, 2008 - Mar 27, 2008 Snowbird, UT, USA Nov 12, 2007
 
 

Present CFP : 2024

Dates
Tuesday March 19 - Friday March 22, 2024
Reception: Tuesday evening
Presentations: Wednesday - Friday

Keynote Address

"JPEG AI Standard: Learning an Efficient and Rich Visual Data Representation"
Dr. João Ascenso
Instituto Superior Técnico


Special Sessions

"Video Coding and Quality Optimization"
Special Session Chairs:

Yan Ye, Alibaba Group
Gary Sullivan, Dolby Laboratories
Yuriy Reznik, Brightcove, Inc.
Jizheng Xu, Bytedance, Inc.

"Learning-Based Visual Data Compression"
Special Session Chairs:

João Ascenso, Instituto Superior Técnico
Thomas Richter, Fraunhofer IIS

"Computation over Compressed Data"
Special Session Chairs:

Dominik Kempa, Stony Brook University
Nicola Prezza, Ca' Foscari University of Venice


The CLIC Challenge

DCC 2024 will be the official venue of the Challenge on Learned Image Compression (CLIC); submissions are open! In the context of a competition, CLIC is a venue to compare traditional approaches to image and video compression to ones employing machine learning and computer vision. The winners of the CLIC competition will be announced at DCC. See https://compression.cc for how to participate, and to view the current leaderboard.


Sponsorship:

IEEE Signal Processing Society (technical cosponsorship)
University of Arizona


Proceedings published by

IEEE Computer Society Press CPS Online. More )

Program Committee

Ali Bilgin, University of Arizona (DCC Co-Chair)
James E. Fowler, Mississippi State University (DCC Co-Chair)
Joan Serra-Sagrista, U. Autonoma de Barcelona (Committee Co-Chair)
Yan Ye, Alibaba Group (Committee Co-Chair)
James A. Storer, Brandeis University (Proceedings Chair)
Diego Arroyuelo, Pontificia Universidad Católica de Chile
João Ascenso, Instituto Superior Técnico - Instituto de Telecomunicações
Johannes Ballé, Google
Benjamin Bross, Fraunhofer HHI
Charles D. Creusere, New Mexico State University
Travis Gagie, Dalhousie University
Hamid Jafarkhani, University of California Irvine
Dominik Kempa, Stony Brook University
Ashish Khisti, University of Toronto
Henrique Malvar, Microsoft Emeritus Researcher
Giovanni Manzini, University of Pisa
Michael W. Marcellin, University of Arizona
Yakov Nekrich, Michigan Technological University
Jan Østergaard, Aalborg University
Armando J. Pinho, University of Aveiro
Nicola Prezza, Ca' Foscari University of Venice
Majid Rabbani, Rochester Institute of Technology
Yuriy Reznik, Brightcove, Inc.
Thomas Richter, Fraunhofer IIS
Victor Sanchez, University of Warwick
Rahul Shah, Louisiana State University
Dana Shapira, Ariel University
Gary J. Sullivan, Dolby Laboratories
Aaron B. Wagner, Cornell University
Shiqi Wang, City University of Hong Kong
Jiangtao Wen, Eastern Institute for Advance Study
Mathias Wien, RWTH Aachen University
Jizheng Xu, Bytedance Inc.
Peng Yin, Dolby Laboratories, Inc.


Theme

An international forum for current work on data compression and related applications. Both theoretical and experimental work are of interest. Topics of interest include but are not limited to: Lossless and lossy compression for storage and transmission of specific types of data (including text, gray scale and color photographs, multi-spectral and hyper-spectral images, palette images, video, movies, audio, music, maps, instrument and sensor data, space data, earth observation data, scientific data, weather data, medical data, graphics data, geometry data, 3D representations, animation, bi-level images / bit-maps, web content, web graphs, etc.), source coding, source coding in multiple access networks, joint source-channel coding, rate distortion coding, rate allocation, multiple description coding, quantization theory, vector quantization (VQ), multiple description VQ, transform based methods (including DCT and wavelet transforms), parallel compression algorithms and hardware, error resilient compression techniques, adaptive compression algorithms, browsing and searching compressed data, compressed data structures, applications to immersive media, inpainting-based compression, perceptual coding, visual search, object recognition, applications of neural networks and deep learning (e.g. CNN's) to compression, string searching and manipulation used in compression applications, fractal based compression methods, information retrieval employing compression techniques, steganography / hidden information with respect to compressed data, minimal length encoding and applications to learning, system issues relating to data compression (including error control, data security, indexing, and browsing), compression applications and issues for computational biology and bioinformatics, 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 file storage and backup systems, applications of compression to data mining, applications of compression to image retrieval, applications of compression and information theory to human-computer interaction (HCI), development of and extensions to compression standards (including the HEVC, JPEG, MPEG, H.xxx, and G.xxx families and including compression of specific image types such as plenoptic images, point cloud images, and light field images), compressed sensing / compressive sampling, and the use of techniques from information theory and data compression in networking, communications, and storage of large data sets.

Submission Format

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. (DCC reviewing is single-blind, where the identities of the reviewers are anonymous, but the author names and affiliations are on the manuscript.) 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.

Note: In the case of an image or video that requires viewing to access visual quality, for optional use by a referee, a reduced size but reasonably viewable image or representative video frame may appear in the manuscript along with a link to the image or the video. In the case of audio, for optional use by a referee, a description of the audio material may be accompanied by a link to the audio.

Here is a link to template of a formatted page:

DCC Template (pdf)

Submissions must be in PDF format, but here are some files that may be useful for preparation:

MS Word sample source file (.doc)

LaTeX sample source files (zip folder)

Manuscripts may be submitted for consideration as full paper or poster, or for consideration as poster only. Manuscripts submitted for consideration as poster only must still submit a thorough description of the work for review (NOT a one page summary).

Manuscripts accepted as papers will be presented at a technical session of the conference and have a final draft of at most 10 pages in the DCC proceedings. Manuscripts accepted as posters will be presented at the DCC poster session and have a one page summary in the DCC proceedings.

For inclusion in the DCC proceedings, an accepted manuscript requires the same formatting as for submission, the only difference being that manuscripts accepted as papers are limited to 10 pages and manuscripts accepted as posters are limited to one page.

Submission Instructions

Submissions must be submitted electronically; by November 8, 11:59pm U.S. Pacific Time (this date has been extended by 1 week from the original date of November 1). DCC observes the IEEE policy on confidentiality of submitted manuscripts.

Author Notification

Authors will be notified via email in late December of acceptance as a paper, acceptance as a poster, or rejection. Accepted manuscripts must be submitted electronically; 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; instead, wait until your submission has been accepted and you receive directions.)
 

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