News

    February 21, 2024: Detecting Cheapfakes accepted as Grand Challenge for ICMR 2024 (Click here)
    March 28, 2024: Multimodal Video Retrieval and Multimodal Language Modelling (MVRMLM2024) Workshop (Click here)
    April 06, 2024: First Keynote Prof. Mubarak Shah from Center for Research in Computer Vision University of Central Florida (More Details)
    April 14, 2024: ICMR2024 offers student travel grants (Click here)
Welcome to

ACM ICMR 2024

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 2024 will take place in Phuket, Thailand from the 10-14th June 2024. The conference venue is the Dusit Thani Laguna Phuket, in Phuket Island. 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; Ottawa, Canada 2019; Dublin, Ireland 2020; Taipei, Taiwan 2021; Newark, NJ, USA 2022 and Thessaloniki, Greece 2023. ACM ICMR 2024 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.