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» Retrieving lightly annotated images using image similarities
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NIPS
2003
13 years 10 months ago
A Model for Learning the Semantics of Pictures
We propose an approach to learning the semantics of images which allows us to automatically annotate an image with keywords and to retrieve images based on text queries. We do thi...
Victor Lavrenko, R. Manmatha, Jiwoon Jeon
CLEF
2007
Springer
14 years 3 months ago
Baseline Results for the ImageCLEF 2007 Medical Automatic Annotation Task Using Global Image Features
Abstract. This paper provides baseline results for the medical automatic annotation task of CLEF 2007 by applying the image retrieval in medical applications (IRMA)-based algorithm...
Mark Oliver Güld, Thomas Martin Deserno
SCIA
2005
Springer
117views Image Analysis» more  SCIA 2005»
14 years 2 months ago
Mapping Perceptual Texture Similarity for Image Retrieval
Images are being produced and made available in ever increasing numbers; but how can we find images "like this one" that are of interest to us? Many different systems hav...
Janet S. Payne, T. John Stonham
AINA
2007
IEEE
14 years 3 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
SIGMOD
1999
ACM
143views Database» more  SIGMOD 1999»
14 years 1 months ago
WALRUS: A Similarity Retrieval Algorithm for Image Databases
Traditional approaches for content-based image querying typically compute a single signature for each image based on color histograms, texture, wavelet transforms etc., and return...
Apostol Natsev, Rajeev Rastogi, Kyuseok Shim