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» Using Visual Concepts and Fast Visual Diversity to Improve I...
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CVPR
2008
IEEE
14 years 10 months ago
Lost in quantization: Improving particular object retrieval in large scale image databases
The state of the art in visual object retrieval from large databases is achieved by systems that are inspired by text retrieval. A key component of these approaches is that local ...
James Philbin, Ondrej Chum, Michael Isard, Josef S...
SEMCO
2007
IEEE
14 years 2 months ago
Searching Visual Semantic Spaces with Concept Filters
Semantic concepts cement the ability to correlate visual information to higher-level semantic concepts. Traditional image search leverages text associated with images, a lowlevel ...
Eric Zavesky, Zhu Liu, David C. Gibbon, Behzad Sha...
ICMCS
2009
IEEE
103views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Web image retrieval via learning semantics of query image
The performance of traditional image retrieval approaches remains unsatisfactory, as they are restricted by the wellknown semantic gap and the diversity of textual semantics. To t...
Chuanghua Gui, Jing Liu, Changsheng Xu, Hanqing Lu
ICASSP
2009
IEEE
14 years 3 months ago
Impact of novel sources on content-based image and video retrieval
The problem of content-based image and video retrieval with textual queries is often posed as that of visual concept classification, where classifiers for a set of predetermined...
Arnab Ghoshal, Sanjeev Khudanpur, Dietrich Klakow
ICMCS
2007
IEEE
187views Multimedia» more  ICMCS 2007»
14 years 3 months ago
Knowledge-Assisted Medical Image Retrieval
In this paper, we present a knowledge-assisted approach to index and retrieve large volume of medical images. Both images and associated texts are indexed using medical concepts f...
Joo-Hwee Lim, Caroline Lacoste, Jean-Pierre Cheval...