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''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; New York, USA 2016; Bucharest, Romania 2017; and Yokohama, Japan 2018.
ACM ICMR 2019 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, mixed reality user interaction, exploiting diverse and multimodal data, and domain-specific challenges.
*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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