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» Semantic based image retrieval: a probabilistic approach
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MM
2009
ACM
185views Multimedia» more  MM 2009»
15 years 8 months ago
Deep exploration for experiential image retrieval
Experiential image retrieval systems aim to provide the user with a natural and intuitive search experience. The goal is to empower the user to navigate large collections based on...
Bart Thomee, Mark J. Huiskes, Erwin M. Bakker, Mic...
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
14 years 11 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ICASSP
2008
IEEE
15 years 8 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
CVPR
2004
IEEE
16 years 3 months ago
Learning Distance Functions for Image Retrieval
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
106
Voted
OHS
2001
Springer
15 years 6 months ago
Because I Seek an Image, Not a Book
Abstract At last year’s OHS workshop, I have introduced a semiotic approach to hypermedia on a broader basis [11]. This year’s contribution shall be dedicated to (still theoret...
Moritz Neumüller