The multi-modal characteristics of Web image make it possible to unify keywords and visual features for image retrieval in Web context.
An approach based on association rule and clustering techniques is proposed to unify keywords and visual features in a different manner, which seamlessly ...
The multi-modal characteristics of Web image make it possible to unify keywords and visual features for image retrieval in Web context.
The multi-modal characteristics of Web image make it possible to unify keywords and visual features for image retrieval in Web context.
Abstract. The multi-modal characteristics of Web image make it possible to unify keywords and visual features for image retrieval in Web context. Most of.
Bibliographic details on Unifying Keywords and Visual Features Within One-Step Search for Web Image Retrieval.
This report describes the approach used in our participation of ImageCLEF. Our focus is on image retrieval using text, i.e. Cross-Media IR.
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Many of the art models are based on the visual search or annotated text for Content-Based Image Retrieval (CBIR) models. There is more demand toward ...
Unifying Keywords and Visual Features Within One-Step Search for Web Image Retrieval · Computer Science. Pacific Rim Conference on Multimedia · 2006.
A system is proposed that combines textual and visual statistics in a single index vector for content-based search of a WWW image database.