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ICMR 2017 : ACM International Conference on Multimedia Retrieval

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Conference Series : International Conference on Multimedia Retrieval
 
Link: http://www.icmr2017.ro/index.php
 
When Jun 6, 2017 - Jun 9, 2017
Where Bucharest, Romania
Submission Deadline Jan 27, 2017
Notification Due Mar 29, 2017
Final Version Due Apr 26, 2017
Categories    multimedia   retrieval   machine learning
 

Call For Papers

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.

This annual conference, which puts together the long-lasting experiences of the former ACM CIVR (International Conference on Image and Video Retrieval) and ACM MIR (International Conference on Multimedia Information Retrieval) series, was set up in 2011 to illuminate the state of the arts in multimedia (e.g., text, image, video, audio, sensor data, 3D) retrieval. Following the successful previous editions of ICMR (see the complete ICMR history here): Trento, Italy 2011, Hong Kong, China 2012, Dallas, USA 2013, Glasgow, UK 2014, Shanghai, China 2015, and New York, USA 2016, we are pleased to welcome the 2017 edition with University Politehnica of Bucharest in Bucharest, Romania.

ACM ICMR 2017 is calling for papers 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, user interaction, exploiting diverse and multimodal data, and domain-specific challenges.

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