ICMR: International Conference on Multimedia Retrieval

FacebookTwitterLinkedInGoogle

 

Past:   Proceedings on DBLP

Future:  Post a CFP for 2025 or later   |   Invite the Organizers Email

 
 

All CFPs on WikiCFP

Event When Where Deadline
ICMR 2024 ACM International Conference on Multimedia Retrieval
Jun 10, 2024 - Jun 14, 2024 Phuket, Thailand Feb 16, 2024
ICMR 2023 International Conference on Multimedia Retrieval
Jun 12, 2023 - Jun 15, 2023 Thessaloniki, Greece Feb 12, 2023
ICMR 2022 ACM International Conference on Multimedia Retrieval
Jun 27, 2022 - Jun 30, 2022 Newark, NJ, USA Jan 30, 2022
ICMR 2020 ACM International Conference on Multimedia Retrieval
Jun 8, 2020 - Jun 11, 2020 Dublin, Ireland Jan 27, 2020
ICMR 2016 International Conference on Multimedia Retrieval
Jun 6, 2016 - Jun 9, 2016 New York City Jan 29, 2016
ICMR 2012 International Conference on Multimedia Retrieval
Jun 5, 2012 - Jun 5, 2012 Hong Kong Jan 15, 2012
ICMR 2011 International Conference on Multimedia Retrieval
Apr 18, 2011 - Apr 18, 2011 Trento, Italy TBD
 
 

Present CFP : 2024

_______________

CALL FOR PAPERS
_______________

ACM ICMR 2024 is calling for high-quality original papers addressing innovative research in multimedia retrieval and its related broad fields. The main scope of the conference is not only the search and retrieval of multimedia data but also analysis and understanding of multimedia contents, including community-contributed social data, lifelogging data and automatically generated sensor data, integration of diverse multimodal data, deep learning-based methodology and practical multimedia applications.


Topics of Interest

-Multimedia content-based search and retrieval,
-Multimedia-content-based (or hybrid) recommender systems,
-Large-scale and Web-scale multimedia retrieval,
-Multimedia content extraction, analysis, and indexing,
-Multimedia analytics and knowledge discovery,
-Multimedia machine learning, deep learning, and neural networks,
-Relevance feedback, active learning, and transfer learning,
-Fine-grained retrieval for multimedia,
-Event-based indexing and multimedia understanding,
-Semantic descriptors and novel high- or mid-level features,
-Crowdsourcing, community contributions, and social multimedia,
-Multimedia retrieval leveraging quality, production cues, style, framing, and affect,
-Synthetic media generation and detection,
-Narrative generation and narrative analysis,
-User intent and human perception in multimedia retrieval,
-Query processing and relevance feedback,
-Multimedia browsing, summarization, and visualization,
-Multimedia beyond video, including 3D data and sensor data,
-Mobile multimedia browsing and search,
-Multimedia analysis/search acceleration, e.g., GPU, FPGA,
-Benchmarks and evaluation methodologies for multimedia analysis/search,
-Privacy-aware multimedia retrieval methods and systems,
-Fairness and explainability in multimedia analysis/search,
-Legal, ethical, and societal impact of multimedia retrieval research,
-Applications of multimedia retrieval, e.g., news/journalism, media, medicine, sports, commerce, lifelogs, travel, security, and environment.

See http://icmr2024.org/call-for-papers.html for additional details.
 

Related Resources

ACM NLPIR 2024   ACM--2024 8th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2024)
CVIV 2024   2024 6th International Conference on Advances in Computer Vision, Image and Virtualization (CVIV 2024) -EI Compendex
MMAsia 2024   ACM Multimedia Asia 2024
ACM-Ei/Scopus-DMNLP 2024   2024 International Conference on Data Mining and Natural Language Processing (DMNLP 2024)
MIPR 2024   International Conference on Multimedia Information Processing and Retrieval
SIPM 2024   12th International Conference on Signal Image Processing and Multimedia
NLPIR 2024   ACM--2024 8th International Conference on Natural Language Processing and Information Retrieval (NLPIR 2024)
AVC 2024   Advances in Vision Computing: An International Journal
CBMI 2024   Content-Based Multimedia Indexing
DMA 2024   10th International Conference on Data Mining and Applications