On the recordRead 11 Oct 202623 facts
ACACIA
On the record
- API access
- Nogithub.com · read 24 Sep 2026
- Batch processing
- Yesgithub.com · read 24 Sep 2026
- Build requirements
- Building requires Qt, libjpeg and libwebp, and the program requires a CPU with AVX and AVX2 support.github.com · read 11 Oct 2026
- Compression method
- It uses machine learning to predict how an individual image will compress and adjusts compression aggressiveness accordingly.github.com · read 11 Oct 2026
- Compression modes
- lossygithub.com · read 24 Sep 2026
- Contact
- The README lists John Thomson and Oleksandr Murashko as contacts at the University of St Andrews.github.com · read 11 Oct 2026
- Dependencies
- Building it requires Qt, libjpeg or libjpeg-turbo, and libwebp.github.com · read 11 Oct 2026
- Image compatibility
- The software is designed for previously uncompressed images; previously compressed images may produce less accurate results.github.com · read 11 Oct 2026
- Input suitability
- It is designed for previously uncompressed images; previously compressed images may produce less accurate results.github.com · read 11 Oct 2026
- Integration licensing
- The README says users interested in integrating ACACIA under a different license can contact the maintainers to discuss it.github.com · read 11 Oct 2026
- Interfaces
- It provides a graphical interface and a command line mode for batch processing.github.com · read 11 Oct 2026
- License
- ACACIA is free, open source software licensed under GPL-3.0.github.com · read 11 Oct 2026
- Method
- It uses machine learning to predict how an image will compress and adjusts compression strength for each image.github.com · read 11 Oct 2026
- Performance requirement
- The program uses AVX and AVX2 vector instructions, so it requires a CPU that supports them.github.com · read 11 Oct 2026
- Purpose
- ACACIA is an image compression tool that targets specified image quality or file size when compressing JPEG or WebP images.github.com · read 11 Oct 2026
- Research citation
- The README asks research users to cite the paper “Predicting and Optimizing Image Compression,” published in the Proceedings of the 2016 ACM Conference on Multimedia.github.com · read 11 Oct 2026
- Research status
- The README says ACACIA is not production software and is primarily intended to demonstrate research techniques.github.com · read 11 Oct 2026
- Support contact
- The README invites users to contact John Thomson at [email protected] with feedback or interest.github.com · read 11 Oct 2026
