会议信息

ICMR 2024: International Conference on Multimedia Retrieval

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
嵌入截止倒计时徽章
ICMR
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。
截稿日期:
2024-02-01
通知日期:
2024-03-31
会议日期:
2024-06-10
会议地点:
Phuket, Thailand
届数:
14
CCF: B   ICORE: B   QUALIS: A2   浏览: 237062   关注: 165   参加: 37

会伴指数 (CP-I)

69.6 / 100
全站第 343 名 / 共 5,687 个会议 · 前 7%

计算机图形学与多媒体 第 17 / 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%)
73
社区关注 (10%)
69
资料公开度 (15%)
40

用到的输入: 收录等级：CCF B, ICORE B, QUALIS A2 · 有据可查的届次：14 · 在会伴关注它的研究者：165 人 · 过去 24 个月打开过本页的研究者：12 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0)
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 1.1 · 算于 2026-09-27

征稿

ICMR 2024 (International Conference on Multimedia Retrieval) is a CCF B / ICORE B / QUALIS A2 conference held in Phuket, Thailand on 2024-06-10. The paper submission deadline is 2024-02-01. Acceptance notifications are sent on 2024-03-31.

ACM ICMR 2024 is calling for high quality original papers addressing innovative research in multimedia retrieval and its related broad fields. The main scope of the conference is not only search and retrieval of multimedia data but also analysis and understanding of multimedia contents including 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. 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 networks, 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 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, 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.
由 Dou Sun 最后更新于

最佳论文

相关会议

相关期刊

CCF全称影响因子出版商ISSN
International Journal of Multimedia Information Retrieval2.9Springer2192-6611
IEEE MultiMedia3.3IEEE1070-986X
BSoftware & Systems Modeling3.2Springer1619-1366
BPattern Recognition7.6Elsevier0031-3203
BIEEE Transactions on Neural Networks and Learning Systems8.9IEEE1045-9227
BInformation Sciences6.0Elsevier0020-0255
BComputer Networks4.7Elsevier1389-1286
BComputers & Security5.4Elsevier0167-4048
BIEEE Transactions on Intelligent Transportation Systems8.4IEEE1524-9050
BJournal of Systems and Software3.8Elsevier0164-1212

评论 0

暂无评论。

请登录后发表评论