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Saliency-based Image Object Indexing and Retrieval

Lam, Yat Hong; Yildirim, Sule
Journal article, Peer reviewed
Accepted version
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URI
http://hdl.handle.net/11250/2595624
Date
2018
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  • Institutt for datateknologi og informatikk [4938]
  • Institutt for informasjonssikkerhet og kommunikasjonsteknologi [1955]
  • Publikasjoner fra CRIStin - NTNU [26717]
Original version
Lecture Notes in Computer Science. 2018, 10882 LNCS 269-277.   10.1007/978-3-319-93000-8_31
Abstract
We suggest a novel approach to combine visual saliency model and object recognition to provide a more semantic description of an image based on human attention priority. The idea is to index and retrieve semantically more relevant images utilizing human saliency. Based on that, we developed a content-based image indexing and retrieval system. The resultant indexing and retrieval system works, though there is room for improvement in performance. We suggest the reasons and the possibilities for further improvements to develop a practical CBIR system.
Publisher
Springer
Journal
Lecture Notes in Computer Science

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