Call for Papers

ICMR 2023 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.

Topics of Interest

  • Multimedia content-based search and retrieval
  • Multimedia-content-based (or hybrid) recommender systems
  • Large-scale and web-scale multimedia retrieval
  • Multimedia content extraction, analysis, and indexing
  • Multimedia analytics and knowledge discovery
  • Multimedia machine learning, deep learning, and neural nets
  • Relevance feedback, active learning, and transfer learning
  • Zero-shot learning and fine-grained retrieval for multimedia
  • Event-based indexing and multimedia understanding
  • Semantic descriptors and novel high- or mid-level features
  • Crowdsourcing, community contributions, and social multimedia
  • Multimedia retrieval leveraging quality, production cues, style, framing, affect
  • Narrative generation and narrative analysis
  • User intent and human perception in multimedia retrieval
  • Query processing and relevance feedback
  • Multimedia browsing, summarization, and visualization
  • Multimedia beyond video, including 3D data and sensor data
  • Mobile multimedia browsing and search
  • Multimedia analysis/search acceleration, e.g., GPU, FPGA
  • Benchmarks and evaluation methodologies for multimedia analysis/search
  • Applications of multimedia retrieval, e.g., medicine, sports, commerce, lifelogs, travel,
    security, environment