
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.
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.
Editorial Policies:
- We aim for a fast decision time (less than 6 months for the initial decision)
- There are no page charges in IJMIR.
- Papers are published on line in advance of print publication.
IJMIR is interested in special issues on important research topics in multimedia information retrieval. The Senior Editors and Editor-in-Chief have authority to approve these so please email special issue proposals in the form of a PDF to the Editor-in-Chief (email address given in Editorial Board list). Proposals must a minimum of the following:
- The motivation/background
- A sample call for papers
- Short CVs of the Guest Editors that clearly indicate their scientific reputation and their expertise in the area of the special issue
- First journal worldwide covering multimedia retrieval, exploration, and mining
- Focuses on content-based analysis approaches toward multimedia search and exploration
- Reviews the state of the art and the most promising frontiers
Journal information
- Editor-in-Chief
-
- Michael Lew
- Publishing model
- Hybrid (Transformative Journal). Learn about publishing Open Access with us
Journal metrics
- 25 days
- Submission to first decision
- 141 days
- Submission to acceptance
- 46,283 (2019)
- Downloads
Latest issue
Latest articles
-
-
-
-
An automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors
Authors (first, second and last of 4)
-
About this journal
- Electronic ISSN
- 2192-662X
- Print ISSN
- 2192-6611
- Abstracted and indexed in
-
- ACM Digital Library
- CNKI
- Current Contents/Engineering, Computing and Technology
- DBLP
- Dimensions
- EBSCO Discovery Service
- Google Scholar
- INSPEC
- Institute of Scientific and Technical Information of China
- Japanese Science and Technology Agency (JST)
- Journal Citation Reports/Science Edition
- Naver
- OCLC WorldCat Discovery Service
- ProQuest Advanced Technologies & Aerospace Database
- ProQuest Central
- ProQuest SciTech Premium Collection
- ProQuest Technology Collection
- ProQuest-ExLibris Primo
- ProQuest-ExLibris Summon
- SCImago
- SCOPUS
- Science Citation Index Expanded (SciSearch)
- TD Net Discovery Service
- UGC-CARE List (India)
- Copyright information