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Aims and Scope
The International Journal of Multimedia Information Retrieval (IJMIR) is a scholarly archival journal publishing original, peer-reviewed research contributions. Its editorial board strives to present the most important research results in areas within the field of multimedia information retrieval. Core areas include exploration, search, and mining in general collections of multimedia consisting of information from the WWW to scientific imaging to personal archives. Comprehensive review and survey papers that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant.
Relevant topics include
Image and video retrieval - theory, algorithms, and systems
Social media interaction and retrieval - collaborative filtering, social voting and ranking
Music and audio retrieval - theory, algorithms, and systems
Scientific and Bio-imaging - MRI, X-ray, ultrasound imaging analysis and retrieval
Semantic learning - visual concept detection, object recognition, and tag learning
Exploration of media archives - browsing, experiential computing
Interfaces - multimedia exploration, visualization, query and retrieval
Multimedia mining - life logs, WWW media mining, pervasive media analysis
Interactive search - interactive learning and relevance feedback in multimedia retrieval
Distributed and high performance media search - efficient and very large scale search
Applications - preserving cultural heritage, 3D graphics models, etc.
Editorial Policies:
We aim for a fast decision time (less than 4 months for the initial decision)
There are no page charges in IJMIR.
Papers are published on line in advance of print publication.
Academic, industrial researchers, and practitioners involved with multimedia search, exploration, and mining will find IJMIR to be an essential source for important results in the field.
《International Journal Of Multimedia Information Retrieval》是一本由SPRINGER出版商出版的專業(yè)工程技術(shù)期刊，刊期4 issues per year，該刊已被國際權(quán)威數(shù)據(jù)庫SCIE收錄。在中科院最新升級版分區(qū)表中，該刊分區(qū)信息為大類學科：計算機科學 4區(qū)，小類學科：計算機：人工智能 4區(qū)；計算機：軟件工程 4區(qū)；在JCR（Journal Citation Reports）分區(qū)等級為Q2。該刊發(fā)文范圍涵蓋計算機：人工智能等領(lǐng)域，旨在及時、準確、全面地報道國內(nèi)外計算機：人工智能工作者在該領(lǐng)域取得的最新研究成果、工作進展及學術(shù)動態(tài)、技術(shù)革新等，促進學術(shù)交流，鼓勵學術(shù)創(chuàng)新。2021年影響因子為2.553，
| 大類學科 | 分區(qū) | 小類學科 | 分區(qū) | Top期刊 | 綜述期刊 |
| 計算機科學 | 4區(qū) | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE 計算機：人工智能 COMPUTER SCIENCE, SOFTWARE ENGINEERING 計算機：軟件工程 | 4區(qū) 4區(qū) | 否 | 否 |
| JCR分區(qū)等級 | JCR所屬學科 | 分區(qū) | 影響因子 |
| Q2 | COMPUTER SCIENCE, SOFTWARE ENGINEERING | Q2 | 2.553 |
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q3 |
| 影響因子 | h-index | Gold OA文章占比 | 研究類文章占比 | OA開放訪問 | 平均審稿速度 |
| 2.553 | -- | 14.04% | 89.47% | 未開放 | -- |
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