Show simple item record

dc.contributor.authorAhmad, J.
dc.contributor.authorSajjad, M.
dc.contributor.authorMehmood, Irfan
dc.contributor.authorRho, S.
dc.contributor.authorBaik, S.W.
dc.date.accessioned2019-07-18T12:43:36Z
dc.date.accessioned2019-08-05T11:13:37Z
dc.date.available2019-07-18T12:43:36Z
dc.date.available2019-08-05T11:13:37Z
dc.date.issued2017-09
dc.identifier.citationAhmad J, Sajjad M, Mehmood I et al (2017) Saliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systems. Journal of Real-Time Image Processing. 13(3): 431-447.en_US
dc.identifier.urihttp://hdl.handle.net/10454/17187
dc.descriptionYesen_US
dc.description.abstractThe exponential growth in the volume of digital image databases is making it increasingly difficult to retrieve relevant information from them. Efficient retrieval systems require distinctive features extracted from visually rich contents, represented semantically in a human perception-oriented manner. This paper presents an efficient framework to model image contents as an undirected attributed relational graph, exploiting color, texture, layout, and saliency information. The proposed method encodes salient features into this rich representative model without requiring any segmentation or clustering procedures, reducing the computational complexity. In addition, an efficient graph-matching procedure implemented on specialized hardware makes it more suitable for real-time retrieval applications. The proposed framework has been tested on three publicly available datasets, and the results prove its superiority in terms of both effectiveness and efficiency in comparison with other state-of-the-art schemes.en_US
dc.description.sponsorshipSupported by the Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (2013R1A1A2012904).en_US
dc.language.isoenen_US
dc.rights© Springer-Verlag Berlin Heidelberg 2015. Reproduced in accordance with the publisher's self-archiving policy. The final publication is available at Springer via https://doi.org/10.1007/s11554-015-0536-0.en_US
dc.subjectAttributed relational graphen_US
dc.subjectImage representationen_US
dc.subjectContent-based image retrievalen_US
dc.subjectSaliency mapen_US
dc.subjectReal-time retrievalen_US
dc.titleSaliency-weighted graphs for efficient visual content description and their applications in real-time image retrieval systemsen_US
dc.status.refereedYesen_US
dc.date.Accepted2015-09-29
dc.date.application2015-11-12
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1007/s11554-015-0536-0
dc.date.updated2019-07-18T11:43:37Z
refterms.dateFOA2019-08-05T11:13:59Z


Item file(s)

Thumbnail
Name:
Saliency-weightedgraphsforeffi ...
Size:
1.930Mb
Format:
PDF
Description:
Mehmood_Journal_of_Real-Time_I ...

This item appears in the following Collection(s)

Show simple item record