JPEG AI Learning-based Image Coding Challenge

JPEG AI Learning-based Image Coding Challenge (
At 22nd IEEE International Workshop on Multimedia Signal Processing (MMSP) 2020 (

JPEG AI Learning-based Image Coding Challenge solicits technical
contributions that demonstrate efficient coding of image content based
on machine learning approach. This means image coding solutions for
which learning-based modules (end-to-end trained) play an important
role, considering the overall codec architecture. Some examples are
non-linear data correlation transformations, learned probability
models for entropy coding, hierarchical learning-based coding
structures and perceptual optimizations.

The Challenge is designed to be in sync with a JPEG AI Call for
Evidence (CfE) on Learning-based Image Coding
( and will use the
same content, evaluation methodologies and deadlines. The objective of
the above CfE is to objectively and subjectively evaluate relevant
learning-based image coding solutions to validate the potential
performance of this novel coding approach, especially in terms of
compression efficiency.

Participants are required to submit the following materials:

* A detailed description of the coding algorithm in the form of an
MMSP challenge paper and/or technical report to JPEG as well as
methodologies and data used for training.

* A decoder implementation in a form that allows stand-alone
inference/testing on a standard computer (CPU only) in a reasonable
amount of time, preferably in source code form.

* Compressed codestreams and corresponding decoded images.

30th May:		Proposal registration.
12th June:		Submission of code-streams, decoded images, MMSP challenge paper and/or JPEG technical document.
14th June:		Release of the test dataset for proponents to code.
18th June:		Submission of code-streams and decoded images for the test dataset.
21st June:		MMSP Challenge paper and/or JPEG technical document submission.
15th July:			MMSP Challenge paper notification.
30th July:			MMSP Challenge camera ready paper.
1st September:	1st Stage: Objective evaluation of all the proposals; 2nd Stage: Subjective evaluation.
15th September:	End of subjective evaluation; all results will be released online.
21-23rd September: Challenge session at MMSP 2020 with presentations
and announcement of award recipients.

89th JPEG Meeting: Presentation and discussion of the proposals at the
JPEG meeting (planned for 10-16 October)

The MMSP Challenge paper submissions will be peer reviewed in a
similar way as any other regular MMSP paper submissions and, if
accepted, will be included in the IEEExplore.

Based on the experimental results obtained and the review of the
significance, novelty and impact of the submitted image coding
solutions, two awards will be discerned:
* Best performing image coding solution.
* Most innovative image coding solution.

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Kind regards,
Joćo Ascenso (
Fernando Pereira (
Touradj Ebrahimi (