2018
DOI: 10.48550/arxiv.1812.04215
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Automatic Feature Weight Determination using Indexing and Pseudo-Relevance Feedback for Multi-feature Content-Based Image Retrieval

Abstract: Content-based image retrieval (CBIR) is one of the most active research area in multimedia information retrieval. Given a query image, the task is to search relevant images in a repository. Low level features like color, texture and shape feature vectors of an image are always considered to be an important attribute in CBIR system. Thus the performance of the CBIR system can be enhanced by combining these feature vectors. In this paper, we propose a novel CBIR framework by applying indexing using multiclass SV… Show more

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Cited by 2 publications
(1 citation statement)
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“…On COIL-100 dataset, various techniques described in [17][18][19] are available. For FLOWER-17 dataset comparison, references [20][21][22] are used.…”
Section: Existing Work In Cbirmentioning
confidence: 99%
“…On COIL-100 dataset, various techniques described in [17][18][19] are available. For FLOWER-17 dataset comparison, references [20][21][22] are used.…”
Section: Existing Work In Cbirmentioning
confidence: 99%