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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 online in advance of print publication. Authors Please Note: the “Submission to First Decision” and “Submission to Acceptance” information on the journal homepage are not guaranteed turnaround times for all submissions - these metrics are based on averages only, and the peer review times may vary for each paper. 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 show 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 USPs: 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
Image RetrievalDeep LearningMultimedia Information RetrievalConvolutional Neural NetworksComputer VisionAction RecognitionMultimedia RetrievalConvolutional Neural NetworkImage FeaturesMusic Information RetrievalObject DetectionDeep Neural NetworksAttention MechanismInformation RetrievalMusic Recommender SystemsCross-modal HashingSemantic ConceptsConcept DetectionSpecial IssueMedical Image Retrieval
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