3rd Edition of the Global Data Compression Competition

  • 171,000 EUR total prize fund
  • 8 main competition categories
  • Special category for students
  • Final submission deadline: September, 2023


Board of experts of 3rd Edition of the Global Data Ccompression Competition


Prof. Wen Gao, Peking University, China.

Boya Chair Professor and Director of Faculty of Information and Engineering Sciences at Peking University (China). Served as Vice president of National Natural Science Foundation China (NSFC) and president of China Computer Federation (CCF). Deputy Director of China National Standardization Technical Committees. He works in the areas of multimedia and computer vision, including video coding, video analysis, multimedia retrieval, face recognition, and multimodal interface.


Professor Shmuel Tomi Klein, Bar Ilan University, Israel.

Professor at Bar Ilan University (Israel). His research interests are Lossless Data Compression, Information Storage and Retrieval, Text Algorithms, and Computational Linguistics.


Prof. Michael W. Marcellin, University of Arizona, USA.

Regents Professor, Faculty Fellow, and Honors Professor at University of Arizona (United States of America). His research interests are Digital Communication and Data Storage Systems, Data Compression, and Signal Processing.


Prof. Dmitry Vatolin, Lomonosov Moscow State University, Russia.

Head of ML/DL video processing, compression, and quality research lab at Lomonosov Moscow State University (Russia). His research interests are video and image processing and compression, and multimedia data processing.


Professor Gonzalo Navarro, Universidad de Chile, Chile.

Professor at University of Chile (Chile). His research interests are Design and analysis of algorithms and data structures, Compressed data structures, Text databases, Information retrieval, and Metric databases.



Professor Serra Sagristà, Universitat Autònoma de Barcelona, Spain.

Joan Serra-Sagristà received the Ph.D. degree in computer science from Universitat Autònoma Barcelona (UAB), Spain, in 1999. He is currently a Full Professor at Department of Information and Communications Engineering, UAB. He is the Head of the Group on Interactive Coding of Images (GICI) since 2003 and the Head of the Department since 2018. From September 1997 to December 1998, he was at University of Bonn, Germany, funded by German Academic Exchange Service (DAAD) and by Catalan Savings Bank "La Caixa". His current research interests focus on source coding / data compression, with special attention to data coding for remote sensing applications. He serves or has served as Senior Area Editor for IEEE Trans. on Image Processing, as Associate Editor for IEEE Trans. on Geoscience and Remote Sensing, IEEE Trans. on Image Processing, SPIE Journal of Electronic Imaging, among others, and as Program Committee co-chair for IEEE Data Compression Conference, among others. He has co-authored over 150 publications. He was the recipient of the Spanish Intensification Young Investigator Award in 2006.


Doctor Professor Hernández Cabronero, Universitat Autònoma de Barcelona, Spain.

Miguel Hernández-Cabronero received the B.Sc. degrees in computer science and in mathematics from the Universidad Autónoma de Madrid, Madrid, Spain, in 2010, and the M.Sc. and Ph.D. degrees in computer science from the Universitat Autònoma de Barcelona, Spain, in 2011 and 2015, respectively. He has held postdoctoral research positions at the University of Warwick, Coventry, U.K., and the University of Arizona, Tucson, AZ, USA. Since April 2019, he is with the Universitat Autònoma de Barcelona. His research interests include data compression and signal processing. He has co-authored multiple papers in these areas and has also served as a Reviewer for several journals and conferences in the field.


Associate Professor Bartrina Rapesta, Universitat Autònoma de Barcelona, Spain

Joan Bartrina-Rapesta received the B.Sc., B.E., M.S., and Ph.D. degrees in computer science from the Universitat Autònoma de Barcelona (UAB), Spain, in 2002, 2004, 2006, and 2009, respectively. He obtains his M.S. and Ph.D. degree with highest honors from UAB. He was awarded with a doctoral fellowship from UAB. He participates as a reviewer for magazines and symposiums, has (co)authored numerous papers in journals and conferences, and has guided Ph.D. students. From 2012 to present, he holds an associate professor position with the Department of Information and Communications Engineering in the UAB. His research interests include a wide range of image coding topics, computing, and transmission.

3rd Edition Leaderboards

The leaderboard tables below contain results for contest submissions and reference compressors.

List of tests (see the rules for a complete description):

• Task 1: JPEG Lossless Recompression
• Task 2: LPAQ8 Algorithm Improvement
• Task 3: Fast Duplicate String Search
• Task 4: Fast Secondary Stage Transform
• Task 5: Compression of Qualitative Data
• Task 6: Compression of Quantitative Data
• Task 7: Compression of Mixed Data
• Task 8: Independent Block Compression


Task 1
  • Task 1
  • Task 2
  • Task 3
  • Task 4
  • Task 5
  • Task 6
  • Task 7
  • Task 8
  • Balanced

Charts for leaderboards

General notes

  • The line joining the markers for different compressors on the scatter plot shows the Pareto frontier. That is, for each such compressor, no other analyzed programs in that category achieve better results for both the selected time and compression parameters.
  • The names of submitted compressors appear in boldface.
Task 1, Balanced
  • Task 1, Balanced
  • Task 2, Balanced
  • Task 3, Rapid
  • Task 4, Rapid
  • Task 5, Ultra Rapid
  • Task 5, Rapid
  • Task 5, Balanced
  • Task 6, Ultra Rapid
  • Task 6, Rapid
  • Task 6, Balanced
  • Task 7, Ultra Rapid
  • Task 7, Rapid
  • Task 7, Balanced
  • Task 8, Ultra Rapid
  • Task 8, Rapid
  • Task 8, Balanced
Full time
  • Full time
  • Compression time
  • Decompression time
  • c_full_size
  • c_full_size, megabytes
  • Compression ratio
  • Compression ratio, bits per byte
  • Compression degree

Compressor Ranking

Participating Compressors

Name Submission Date Task      Competition category Status

Reference Compressors

Name Task      Competition category Status