ACM International Conference on Multimedia Retrieval ICMR 2017

We are happy to share with you the freshly published 2021 MediaEval Multimedia Evaluation Benchmark working notes https://lnkd.in/dd4j-qUd, presenting the participating systems to the offered tasks:

: Corona Virus and Conspiracies Multimedia Analysis, Images, Multimedia: Transparency in Medical Image Segmentation, Predicting Media , Video: Fine-Grained Action Detection and Classification of Table Tennis Strokes, Visual Analysis: A Natural Disaster Use-case, and Theme Recognition in Music Using Jamendo, Insight for : Cross-Data Analytics for Transboundary Haze Prediction, : Water Quality in Social Multimedia, Mario Task, : Detecting Emerging Events from Social Media and News Feeds, Road Safety Forward: Video Data Privacy.

Check out also this year’s benchmark https://lnkd.in/dPvqK-Da and workshop collocated with the 29th International Conference on Multimedia Modeling MMM, 9 - 12 January 2023, Bergen, Norway. Enjoy your reading!

30th ACM International Conference on Multimedia https://lnkd.in/drtWNrqH 15th May, 2022 --- Doctoral symposium will provide PhD students working in all areas of multimedia with a unique opportunity to share their ongoing research work and ideas with, and get suggestions and feedback from renowned and experienced researchers in the field. It also aims at establishing a supportive worldwide community of doctoral students working on multimedia, and promoting social and intellectual interactions among students and researchers from academia, industry and government --- see you in Lisbon, Portugal, 10-14 October 2022 https://2022.acmmm.org/ ACM - Association for Computing Machinery ACM International Conference on Multimedia.

2nd Call-for-Participation & devset release, ImageCLEF 2020 Multimedia Retrieval in CLEF https://www.imageclef.org/2020 : https://www.imageclef.org/2020/lifelog The task addresses the problems of lifelogging data retrieval and summarization, https://www.imageclef.org/2020/coral The task addresses the problem of automatically segmenting and labeling underwater images for the monitoring of coral reef structure and composition, https://www.imageclef.org/2020/medical The task addresses the challenge of automatically predicting tuberculosis type from 3D chest CT scans, mapping of visual information to textual descriptions and visual question answering, https://www.imageclef.org/2020/drawnui The task addresses the problem of automatically recognizing hand drawn objects representing website UIs, that will be further translated into automatic website code ***Run submission is due May 11, 2020***