Tram at Snowbird resort Data Compression Conference (DCC)  Sponsored by The IEEE Signal Processing Society

Call for Papers

Conference Dates

Tuesday March 23 - Friday March 26, 2021
Reception: Tuesday evening
Presentations: Wednesday - Friday


Snowbird, Utah (all sessions at the Cliff Lodge). More >

*** Although an in-person conference is planned, there is also planning for the contingency that the conference could be virtual due to continued presence of the COVID19 pandemic.


  • University of Arizona and Brandeis University
  • Microsoft Research
  • IEEE Signal Processing Society (technical cosponsorship)

Proceedings published by

IEEE Computer Society Press CPS Online. More >

Program Committee

  • Michael W. Marcellin, University of Arizona (DCC Co-Chair)
  • James A. Storer, Brandeis University (DCC Co-Chair)
  • Ali Bilgin, University of Arizona (Committee Co-Chair)
  • Joan Serra-Sagrista, U. Autonoma de Barcelona (Committee Co-Chair)
  • Henrique Malvar, Microsoft Research (Publications Chair)
  • James E. Fowler, Mississippi State University (Publicity Chair)
  • Johannes Ballé, Google
  • Charles D. Creusere, New Mexico State University
  • Travis Gagie, Dalhousie University
  • Simon Gog, EBay
  • Hamid Jafarkhani, University of California Irvine
  • Giovanni Motta, Google, Inc.
  • Gonzalo Navarro, University of Chile
  • Yakov Nekrich, Michigan Technological University
  • Jan Østergaard, Aalborg University
  • Majid Rabbani, Rochester Institute of Technology
  • Yuriy Reznik, Brightcove, Inc.
  • Thomas Richter, Fraunhofer IIS
  • Victor Sanchez, University of Warwick
  • Serap Savari, Texas A&M University
  • Khalid Sayood, University of Nebraska
  • Peter Schelkens, Vrijie Universiteit Brussel
  • Rahul Shah, Louisiana State University
  • Dana Shapira, Ariel University
  • Ofer Shayevitz, Tel Aviv University
  • Gary J. Sullivan, Microsoft Corporation
  • Aaron B. Wagner, Cornell University
  • Jiangtao Wen, Tsinghua University
  • Jizheng Xu, Bytedance Inc.
  • En-Hui Yang, University of Waterloo
  • Yan Ye, Alibaba Group
  • Peng Yin, Dolby Laboratories, Inc.


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,, and 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.

Keynote Address

"Quality is in the Eye of the Beholder"
Prof. Alan Bovik
The University of Texas at Austin

Special Sessions

In addition to general sessions addressing the theme described above, submissions are being sought for these special sessions:
  • "Video Coding Technologies"
    Session Coordinators:
    Gary Sullivan, Microsoft Research
    Yan Ye, Alibaba Group
    Yuriy Reznik, Brightcove, Inc.
    Video coding technologies for compression performance improvement over existing codecs (VVC, HEVC, AV1, etc.) based on the hybrid video coding framework or other frameworks such as those based on deep-learning technologies, video coding technologies for emerging applications (immersive video, omni-directional video, AR, VR and XR, etc.) and/or with enhanced functionalities (BEAM, tiles, subpictures, ultra-low latency streaming, adaptive streaming etc.), encoder optimization algorithms for encoder complexity reduction and/or compression performance improvement using conventional signal processing techniques and deep-learning based techniques, software and hardware implementation of various video codecs (such as HEVC, VVC, AV1, etc.), quality measurement and optimization of video coding systems (including design of subjective and objective quality metrics and video pre- and post-processing algorithms), and performance measurement and comparison of various video codecs (such as VVC, HEVC, AV1, etc.).

  • "Compression and Quantization in Learning"
    Session Coordinators:
    Hamid Jafarkhani, University of California Irvine
    Jiangtao Wen, Tsinghua University
    Compressing different components during the learning process, distributed learning, federated learning, quantized learning, quantization-aware training, quantized neural networks, using compression algorithms in machine learning tasks such as clustering and classification, and learning with quantized and sub-Nyquist sampled data.

  • "Neural Networks for Compression"
    Session Coordinators:
    Aaron Wagner, Cornell University
    Johannes Ballé, Google
    Thomas Richter, Fraunhofer IIS
    Neural networks, especially deep neural networks, have shown tremendous promise as compressors, especially for multimedia sources. This session will spotlight the latest advances in neural-network based-compressors. We invite submissions on all aspects of neural-network-based compression, with a particular emphasis on (1) improved methods for structuring and training neural networks for compression, (2) methods for combining neural networks with classical compression techniques, and (3) the identification of new applications for which neural-network based compressors are particularly well suited. Authors are requested to make transparent by which means the proposed network solves the compression problem and which lessons can be learned from their contribution. Compression of trained neural network models themselves is outside the scope of this session but within the scope of the conference at large. Submissions will be judged with an eye toward novelty, reproducibility, generalizability, and coherence of the session.

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 2, 11:59pm U.S. Pacific Time. DCC observes the IEEE policy on confidentiality of submitted manuscripts.

A link to DCC 2021 submissions will be posted here in October.

Note: Submissions may be posted on a preprint server provided the IEEE posting policy is followed:
IEEE policy page on posting your manuscript

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.)


What's covered


DCC Call for Papers (PDF)