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ICMR 2020 : ACM International Conference on Multimedia Retrieval

Dublin, Ireland
Event Date: Jun 08, 2020 - Jun 11, 2020
Submission Deadline: Jan 27, 2020
Notification of Acceptance: Mar 08, 2020
Camera Ready Version Due : Mar 31, 2020

About

Effectively and efficiently retrieving information based on user needs is one of the most exciting areas in multimedia research. The Annual ACM International Conference on Multimedia Retrieval (ICMR) offers a great opportunity for exchanging leading-edge multimedia retrieval ideas among researchers, practitioners and other potential users of multimedia retrieval systems. ACM ICMR 2020 will take place in Dublin, Ireland from the 8-11th June 2020. The conference venue is the Radisson Blu Hotel, in Dublin city centre. Check out the ICMR2020 introduction slides as presented at the ICMR2019 banquet on 12th June 2019.

ACM ICMR was created in 2011 from the merger of the ACM CIVR (International Conference on Image and Video Retrieval) and ACM MIR (International Conference on Multimedia Information Retrieval). ACM ICMR serves to illuminate the state of the art in multimedia (e.g., text, image, video, audio, sensor data, 3D) retrieval. ICMR 2020 in Dublin follows the successful previous editions of ICMR in Trento, Italy 2011; Hong Kong, China 2012; Dallas, USA 2013; Glasgow, UK 2014; Shanghai, China 2015; New York, USA 2016; Bucharest, Romania 2017; Yokohama, Japan 2018 and Ottawa, Canada 2019.

ACM ICMR 2020 is calling for submissions presenting significant and innovative research in multimedia retrieval and related fields. Papers should extend the state of the art by addressing new problems or proposing insightful solutions. The scope of the conference includes core topics in multimedia retrieval and recommendation, as well as the broader set of topics that must be addressed to ensure that multimedia retrieval technologies are of practical use in real-world use cases. Special emphasis is placed on topics related to large-scale indexing, mixed reality user interaction, exploiting diverse and multimodal data, and domain-specific challenges. Authors of the best papers will be asked to extend their work for a Special Issue in Springer's International Journal of Multimedia Information Retrieval

Commencing in 2020, SIGMM will centralise SIGMM support for student travel to SIGMM events. As a result, SIGMM will provide funding support for all students who are first authors of full/special session papers at ICMR 2020 and look favourably on other requests from student first authors. Full details of the application process will be updated on the ICMR 2020 website in early February.

Call For Paper

All papers must be formatted according to the ACM proceedings style. Click on the link to access Latex and Word templates for this format. Please ensure the appropriate length of your submission, namely:

Long research papers, are up to 8 pages, plus additional pages for the list of references. These type of papers will have oral and poster presentations at the conference. Authors of the best papers will be asked to extend their work for a Special Issue in Springer's International Journal of Multimedia Information Retrieval.

Short research papers and demonstrations are up to 4 pages, plus additional pages for the list of references. These type of papers will have only poster presentations at the conference. Papers submitted to a special session or brave new ideas track are limited to six pages per paper, plus references. Doctoral symposium papers are limited to four pages in length. Topics of Interest ICMR 2019 is a premier conference to display scientific achievements and innovative industrial products in the field of multimedia retrieval. We are seeking original high quality submissions addressing innovative research in the field. Contributions addressing the challenges of large-scale search and user behavior analysis are especially welcome.

Topics of Interest

  • Content and context based indexing, search and retrieval of multimedia data

  • Multimodal content analysis and retrieval

  • Deep learning for multimedia retrieval

  • Advanced descriptors and similarity metrics for multimedia data

  • Complex multimedia event detection and recounting

  • Learning and relevance feedback in multimedia retrieval

  • Query models, paradigms, and languages for multimedia retrieval

  • Hashing and indexing algorithms for large-scale retrieval

  • Cross-media retrieval

  • Fine-grained visual search

  • Human perception based multimedia retrieval

  • Studies of information-seeking behavior among image/video users

  • Affective/emotional interaction or interfaces for image/video retrieval

  • HCI issues in multimedia retrieval

  • Crowdsourcing in multimedia retrieval

  • Community-based multimedia content management

  • Internet of multimedia things

  • Image/video summarization and visualization

  • Mobile visual search

  • Applications of multimedia retrieval (Healthcare, Fintech, etc.)

  • Evaluation of multimedia retrieval systems

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