Información de la conferencia

ICMR 2027: International Conference on Multimedia Retrieval

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Día de Entrega:
2027-01-31 Faltan 81 días
Fecha de Notificación:
2027-04-01
Fecha de conferencia:
2027-06-07
Ubicación:
Singapore
Ediciones:
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CCF: B   ICORE: B   QUALIS: A2   Vistas: 238368   Seguidores: 164   Asistentes: 37
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Índice Conference Partner (CP-I)

75,4 / 100
Puesto n.º 262 de 5.771 congresos · 5% superior

N.º 15 de 151 en Gráficos por computador y multimedia

Reconocimiento académico (35%)
92
Selectividad en la revisión (20%) Sin datos: se puntúa con la línea base neutra de 50 —
Ediciones celebradas (20%)
78
Atención de la comunidad (10%)
71
Integridad del registro público (15%)
70

Datos utilizados: Categorías: CCF B, ICORE B, QUALIS A2 · Ediciones documentadas: 17 · Investigadores que lo siguen aquí: 164 · Investigadores que abrieron esta página en los últimos 24 meses: 18

Falta en el registro público: Tasas de aceptación históricas (+4,5)
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Solicitud de Artículos

ICMR 2027 (International Conference on Multimedia Retrieval) is a CCF B / ICORE B / QUALIS A2 conference held in Singapore on 2027-06-07. The paper submission deadline is 2027-01-31. Acceptance notifications are sent on 2027-04-01.

ACM ICMR 2027 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. Long research papers should present complete work with evaluations on topics related to the Conference. They will have both oral and poster presentations at the conference. Short research papers should present preliminary results or more focused contributions. They will be presented as posters at the conference. ACM ICMR 2027 proceedings will be published in the ACM International Conference Proceedings Series. Authors are encouraged to read the Open Access notice below, as ACM has fully transitioned to an Open Access model starting in 2026. Topics of Interest Special theme 1: Multimedia retrieval in embodied AI environments (e.g., episodic retrieval, multimodal memory indexing for embodied agents, retrieval-augmented embodied AI) Special theme 2: Cultural grounding and retrieval (e.g., cultural QA systems, low-resource cultural retrieval, cultural and social norms in multimodal multilingual retrieval) 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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CCFNombre CompletoFactor de ImpactoEditorISSN
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