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» Image Ranking and Retrieval Based on Multi-Attribute Queries
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AMR
2005
Springer
128views Multimedia» more  AMR 2005»
13 years 11 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
MM
2004
ACM
152views Multimedia» more  MM 2004»
13 years 11 months ago
Manifold-ranking based image retrieval
In this paper, we propose a novel transductive learning framework named manifold-ranking based image retrieval (MRBIR). Given a query image, MRBIR first makes use of a manifold ra...
Jingrui He, Mingjing Li, HongJiang Zhang, Hanghang...
IJCV
2007
163views more  IJCV 2007»
13 years 5 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
AINA
2007
IEEE
13 years 11 months ago
Mining Visual Knowledge for Multi-Lingual Image Retrieval
Users commonly rely just on scarce textual annotation when their searches for images are semantic or conceptual based. Rich visual information is often thrown away in basic annota...
Masashi Inoue
MIR
2010
ACM
207views Multimedia» more  MIR 2010»
13 years 3 months ago
Learning to rank for content-based image retrieval
In Content-based Image Retrieval (CBIR), accurately ranking the returned images is of paramount importance, since users consider mostly the topmost results. The typical ranking st...
Fabio F. Faria, Adriano Veloso, Humberto Mossri de...