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ICMR 2027: International Conference on Multimedia Retrieval

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截稿日期:
2027-01-31 还有 81 天
通知日期:
2027-04-01
会议日期:
2027-06-07
会议地点:
Singapore
届数:
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CCF: B   ICORE: B   QUALIS: A2   浏览: 238365   关注: 164   参加: 37
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会伴指数 (CP-I)

75.4 / 100
全站第 262 名 / 共 5,771 个会议 · 前 5%

计算机图形学与多媒体 第 15 / 151

学术认可 (35%)
92
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
78
社区关注 (10%)
71
资料公开度 (15%)
70

用到的输入: 收录等级：CCF B, ICORE B, QUALIS A2 · 有据可查的届次：17 · 在会伴关注它的研究者：164 人 · 过去 24 个月打开过本页的研究者：18 人

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主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 80% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.2 · 算于 2026-11-11

征稿

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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CCF全称影响因子出版商ISSN
International Journal of Multimedia Information Retrieval2.9Springer2192-6611
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BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition9.1Elsevier0031-3203
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