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International Journal of Multimedia Information Retrieval

International Journal of Multimedia Information Retrieval OnlineFirst articles

07-01-2021 | Regular Paper

An automatic approach of audio feature engineering for the extraction, analysis and selection of descriptors

Currently, it is critical to find the correct features from the audio, in order to analyze the information contained in it. This paper analyzes several feature types in audio from different points of view: time series, sound engineering, etc. In …

24-10-2020 | Trends and Surveys

Generative adversarial networks: a survey on applications and challenges

Deep neural networks have attained great success in handling high dimensional data, especially images. However, generating naturalistic images containing ginormous subjects for different tasks like image classification, segmentation, object …

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About this journal

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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