International Journal of Multimedia Information Retrieval
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Journal Title
International Journal of Multimedia Information Retrieval
INT J MULTIMED INF R
ISSN / eISSN
2192-6611 / 2192-662X
Aims and Scope
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.
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.
Subject Area
COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
COMPUTER SCIENCE, SOFTWARE ENGINEERING
CiteScore
7.80
View Trend
CiteScore Ranking
| Category | Quartile | Rank |
|---|---|---|
| Social Sciences - Library and Information Sciences | Q1 | #27/280 |
| Social Sciences - Media Technology | Q1 | #8/63 |
| Social Sciences - Information Systems | Q1 | #81/394 |
Web of Science Core Collection
| Science Citation Index Expanded (SCIE) | Social Sciences Citation Index (SSCI) |
|---|---|
| Indexed | - |
| Category (Journal Citation Reports 2024) | Quartile |
|---|---|
| COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | Q2 |
| COMPUTER SCIENCE, SOFTWARE ENGINEERING | Q1 |
Country/Area of Publication
ENGLAND
Publisher
SPRINGER
Publication Frequency
4 issues per year
Annual Article Volume
41
Open Access
NO
Contact
ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, United States, NY, 10004
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