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All CFPs on WikiCFP | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Present CFP : 2026 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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ACM ICMR 2026 is calling for high-quality original papers addressing innovative research in multimedia retrieval and its directly related fields. The main scope of the conference is search and retrieval of multimedia and multimodal data. This includes analysis and understanding of different multimedia content types, such as community-contributed social data, lifelogging data and automatically generated sensor data, integration of diverse multimodal data, deep learning-based methodology, and practical multimedia applications.
Topics of interest: - Multimedia content-based search and retrieval systems - 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 networks to facilitate search and retrieval - Relevance feedback, active learning, and transfer learning - 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, and affect - Synthetic media generation and detection - Narrative generation and narrative analysis - User intent and human perception in multimedia retrieval - Query processing, e.g., query representation, suggestion and reformulation - Multimedia browsing, summarization, and visualization - Multimedia beyond video, including multimodal uses of 3D data and sensor data - Mobile multimedia browsing and search - Multimedia analysis/search acceleration, e.g., using GPU, FPGA - Benchmarks and evaluation methodologies for multimedia analysis/search - Privacy-aware multimedia retrieval methods and systems - Fairness and explainability in multimedia analysis/search - Legal, ethical and societal impact of multimedia retrieval research - Applications of multimedia retrieval, e.g., news/journalism, media, medicine, sports, commerce, lifelogs, travel, security, and environment | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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