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Visual coding for humans and machines

Guest Editors:
Giuseppe Valenzise: Université Paris-Saclay, France
Ivan V. Bajić: Simon Fraser University, Canada
Fengqing Maggie Zhu: Purdue University, USA
João Ascenso: Instituto de Telecomunicações - Instituto Superior Técnico, Portugal
Jiaying Liu: Peking University, China
Shan Liu: Tencent, USA
 

Submission Status: Open | Submission Deadline: 31 July 2024
 

EURASIP Journal on Image and Video Processing is calling for submissions to our Collection on Visual coding for humans and machines.

Coding for machines is an emerging area in multimedia, which is expected to gain significant attention in the coming years due to the increasing volume of machine-to-machine internet traffic. In this context, efficient visual compression solutions that target machine consumption is critical to enable current and future distributed AI applications. Visual coding for machines and humans has already sparked relevant standardization activities, including MPEG VCM for video and JPEG AI for images. Recent conferences have featured sessions or workshops on coding for machines, but, to our knowledge, this is the first special issue in a journal specifically focused on this topic.

This Collection supports and amplifies research related to SDG 9

About the collection

Prospective authors are encouraged to submit unpublished manuscripts for publication in this Special Issue. Subject of interests include, but are not limited to:

• Theories and frameworks for coding for machines
• Feature compression methods
• End-to-end approaches for coding for machines
• Compression for multiple machine tasks
• Compression for human-and-machine dual use
• Compressed-domain multimedia analysis (understanding, translation, classification, object detection, segmentation, pose estimation, etc.)
• Compressed-domain multimedia processing (denoising, super-resolution, enhancement, …)
• Datasets for coding for machines
• Error resilience in coding for machines
• Privacy and security in coding for machines
• Immersive video coding for machines/humans and machines

Image credit: kentoh / stock.adobe.com

  1. The recent adoption of deep learning-based models for the processing and coding of multimedia signals has brought noticeable gains in performance, which have established deep learning-based solutions as the un...

    Authors: Abdelrahman Seleem, André F. R. Guarda, Nuno M. M. Rodrigues and Fernando Pereira
    Citation: EURASIP Journal on Image and Video Processing 2024 2024:13
    Content type: Research Published on:

Submission Guidelines

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This Collection welcomes submission of Research Articles. Before submitting your manuscript, please ensure you have read our submission guidelines. Articles for this Collection should be submitted via our submission system. During the submission process, under the section additional information, you will be asked whether you are submitting to a Collection, please select "Visual coding for humans and machines" from the dropdown menu.

Articles will undergo the journal’s standard peer-review process and are subject to all of the journal’s standard policies. Articles will be added to the Collection as they are published.

The Guest Editors have no competing interests with the submissions which they handle through the peer review process. The peer review of any submissions for which the Guest Editors have competing interests is handled by another Editorial Board Member who has no competing interests.