About GDCC 2020
This competition focuses on the advantages of algorithms and their implementations for universal lossless data compression rather than for certain data types. We test compressors under the following scenarios:
Test 1:
Qualitative-data compression
Text quite different from English:
Language (e.g. use Chineese filtered wikipedia)
Test 2:
Quantitative-data compression
The test set for this year contains images, most of which are photographic.
Test 3:
Mixed-data compression
This year's focus is on slightly preprocessed executable files (we removed incompressible chunks).
Test 4:
Small-block-data compression
We use small blocks of textual and mixed data to evaluate how compressors behave when the data size is severely limited, such as in block-storage systems.
categories
We impose speed limits to separate each of these four tests into three subcategories: rapid compression, balanced compression and high compression ratio (HCR). All told, the result is 12 categories and leaderboards, each with its own prizes.
2020 prize winners
Qualitative data
Quantitative data
Image data
Board of experts of GDCC 2020
Alexander Rhatushnyak
A PhD developing data-compression algorithms since the 1990s. Coauthor of a book and patents on data compression, co-creator of the JPEG-XL standard, and multiple-time winner of the Hutter Prize and Calgary Corpus Compression Challenge—the only ongoing competitions (before ours) in lossless data compression.
Eugene Shelwien
Developer of recompression algorithms for Deflate, JPEG, MP3, AAC, proprietary audio codecs and the .pa compression format. Administrator of Encode.su, the biggest international forum covering data-compression algorithms and software.
Dmitriy Vatolin
A PhD, video-codec developer and coauthor of a book on data compression. Supervisor of collaborative video- and image-processing research projects that include Broadcom, Huawei, Intel, RealNetworks, Samsung and other leading companies. Instructs courses on methods of 3D and 2D video and image processing and compression.
Alexander Rhatushnyak
A PhD developing data-compression algorithms since the 1990s. Coauthor of a book and patents on data compression, co-creator of the JPEG-XL standard, and multiple-time winner of the Hutter Prize and Calgary Corpus Compression Challenge—the only ongoing competitions (before ours) in lossless data compression.
Eugene Shelwien
Developer of recompression algorithms for Deflate, JPEG, MP3, AAC, proprietary audio codecs and the .pa compression format. Administrator of Encode.su, the biggest international forum covering data-compression algorithms and software.
Dmitriy Vatolin
A PhD, video-codec developer and coauthor of a book on data compression. Supervisor of collaborative video- and image-processing research projects that include Broadcom, Huawei, Intel, RealNetworks, Samsung and other leading companies. Instructs courses on methods of 3D and 2D video and image processing and compression.
2020 leaderboards
- Rapid
- Balanced
- High compression ratio
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.
- The names of submitted compressors that failed to fully comply with the competition rules appear in strikethrough.
- Test 1, Rapid
- Test 1, Balanced
- Test 1, HCR
- Test 2, Rapid
- Test 2, Balanced
- Test 2, HCR
- Test 3, Rapid
- Test 3, Balanced
- Test 3, HCR
- Test 4, Rapid
- Test 4, Balanced
- Test 4, HCR
- Full time
- Compression time
- Decompression time
- c_full_size
- c_full_size, megabytes
- Compression ratio
- Compression ratio, bits per byte
- Compression degree