posted by organizer: pcs2022 || 217 views || tracked by 2 users: [display]

IEEE CFM 2023 : First IEEE Workshop on Coding for Machines


When Jul 10, 2023 - Jul 10, 2023
Where Brisbane, Australia
Submission Deadline Mar 23, 2023
Categories    video coding   machine intelligence   machine vision   multimedia technology

Call For Papers

Multimedia signals – speech, audio, images, video, point clouds, light fields, ... – have traditionally been acquired, processed, and compressed for human use. However, it is estimated that in the near future, the majority of Internet connections will be machine-to-machine (M2M). So, increasingly, the data communicated across networks is primarily intended for automated machine analysis. Applications include remote monitoring, surveillance, and diagnostics, autonomous driving and navigation, smart homes / buildings / neighborhoods / cities, and so on. This necessitates rethinking of traditional compression and pre-/post-processing methods to facilitate efficient machine-based analysis of multimedia signals. As a result, standardization efforts such as MPEG VCM (Video Coding for Machines) and JPEG AI have been launched.

Both the theory and early design examples have shown that significant bit savings for a given inference accuracy are possible compared to traditional human-oriented coding approaches. However, a number of open issues remain. These include a thorough understanding of the tradeoffs involved in coding for machines, coding for multiple machine tasks, as well as combined human-machine use, model architectures, software and hardware optimization, error resilience, privacy, security, and others. The proposed workshop is intended to bring together researchers from academia, industry, and government who are working on related problems, provide a snapshot of the current research and standardization efforts in the area, and generate ideas for future work. We welcome papers on the following and related topics:

*Theories and frameworks for coding for machines

*Standards related to coding for machines

*Methods for feature compression

*End-to-end approaches for coding for machines

*Compression for human-and-machine 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

Please refer to the workshop website for more information:

Related Resources

CLUSTER 2023   cluster 2023 : IEEE Cluster Conference
ICSE 2024   The IEEE/ACM International Conference on Software Engineering (Second Round)
IEEE/ACM ASONAM 2023   The 2023 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
SSCI 2023   2023 IEEE Symposium Series on Computational Intelligence
IEEE ICRCV 2023   IEEE--2023 5th International Conference on Robotics and Computer Vision (ICRCV 2023)
IEEE CiSt 2023   7th IEEE Congress on Information Science and Technology
ICCAD 2023   IEEE/ACM International Conference on Computer-Aided Design
IEEE ICoIAS 2023   IEEE--2023 the 6th International Conference on Intelligent Autonomous Systems (ICoIAS 2023)
IEEE INCC 2023   IEEE--2023 International Conference on Information Network and Computer Communications (INCC 2023)
IEEE ISI 2023   The 2023 IEEE International Conference in Intelligence and Security Informatics (ISI 2023)