Efficient content-based image retrieval based on semantic object detection

Aamer Mohamed, Fouad Khelifi, Jianmin Jiang, Stanley Ipson

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

This paper proposes an efficient content-based image retrieval scheme based on Semantic Object Detection (SOD). The feature extraction process uses quantized discrete cosine transform (DCT) blocks where the retrieval of the query image is performed using a histogram-based similarity measure. SOD aims to reduce the size of the database from which the retrieval of similar images is conducted. The use of SOD has been shown to improve the retrieval performance and outperform related work in the literature.
Original languageEnglish
Title of host publication2010 10th International Conference on Information Science, Signal Processing and their Applications, (ISSPA)
Subtitle of host publicationKuala Lumpur, Malaysia, 10-13 May 2010
Editors Institute of Electrical and Electronics Engineers
Place of PublicationPiscataway
PublisherIEEE
Pages193-196
Number of pages4
ISBN (Print)978142447165
DOIs
Publication statusPublished - 18 Oct 2010
Externally publishedYes

Fingerprint Dive into the research topics of 'Efficient content-based image retrieval based on semantic object detection'. Together they form a unique fingerprint.

Cite this