JPEG Committee explores using AI and blockchain tech for image compression
On February 17, the JPEG Committee published the results from its 86th Meeting, detailing some of the topics of discussions and potential future plans. Among other things, the committee issued a Call for Evidence on what it refers to as learning-based image coding solutions, something following the JPEG AI activity the committee launched a year ago. As well, the committee has expanded discussions on the use of blockchain technology and distributed ledger technologies (DLT) for JPEG.
During the 85th JPEG meeting last year, an effort dubbed JPEG AI was initiated in order to explore the use of image coding technologies to increase compression efficiency. During the new 86th JPEG meeting, this effort was expanded to a formal Call for Evidence, which is described as the first step in considering the 'standardization of such approaches in image compression.'
In the JPEG AI Call for Evidence, JPEG Committee states:
'This activity aims to find evidence for image coding technologies that offer substantially better compression efficiency than available image codecs with models obtained from a large amount of visual data and that can efficiently represent the wide variety of visual content that is available nowadays.'
In addition, the most recent meeting featured an Open Discussion Session on Media Blockchain that involved 'interactive discussions' on media blockchain and its various uses, namely its suitability for addressing 'challenges in transparent and trustable media transactions.' The committee has shared the presentations and pitch slides from these discussions on its website.
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