Local-feature-based image retrieval with weighted relevance feedback
by Rudra Narayan Hota, Shahanaz Syed, P. Radha Krishna
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 5, No. 4, 2010

Abstract: Accurate and fast retrieval of relevant images is a challenging task mainly due to the limitation in understanding hidden knowledge in images, known as semantic gap. In this work, we propose a novel approach which incorporates local feature representation for retrieval of grey and colour images from an archive with user intervention. We used histogram features, which are computationally efficient, hence resulting in quick image retrieval. The computed image feature vectors are used for similarity matching with weighted feed-backed image retrieval. We experimented both on publicly available and annotated image data sets to illustrate the effectiveness of our approach.

Online publication date: Fri, 22-Oct-2010

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