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International Journal of Multimedia Information Retrieval

International Journal of Multimedia Information Retrieval OnlineFirst articles

03.10.2019 | Regular Paper

Content-based medical image retrieval of CT images of liver lesions using manifold learning

Accurate retrieval of liver CT images can help a specialist to decide on the type of lesion and treatment planning. However, the complex texture of the abnormality and its nonlinear characteristic reduces the recognition rate of a retrieval …

14.09.2019 | Regular Paper

Learning visual features for relational CBIR

Recent works in deep-learning research highlighted remarkable relational reasoning capabilities of some carefully designed architectures. In this work, we employ a relationship-aware deep learning model to extract compact visual features used …

11.09.2019 | Short Paper

A retrieval-based approach for diverse and image-specific adversary selection

While deep neural network-based models have demonstrated compelling performance on various tasks in computer vision and other fields, they have been found to be vulnerable to adversarial attacks. Particularly, deep convolutional neural network …

09.09.2019 | Regular Paper

An efficient content-based medical image indexing and retrieval using local texture feature descriptors

This paper presents an efficient medical image indexing and retrieval method using two new proposed feature descriptors named as threshold local binary AND pattern (TLBAP) and local adjacent neighborhood average difference pattern (LANADP). In …

10.06.2019 | Regular Paper

Effective video hyperlinking by means of enriched feature sets and monomodal query combinations

Video content has been increasing at an unprecedented rate in recent years, bringing the need for improved tools providing efficient access to specific contents of interest. Within the management of video content, hyperlinking aims at determining …

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Über diese Zeitschrift

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.

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.

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.

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