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» Bridging the Semantic Gap Between Image Contents and Tags
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ICIP
2003
IEEE
14 years 7 months ago
An ontology approach to object-based image retrieval
In this paper, an image retrieval methodology suited for search in large collections of heterogeneous images is presented. The proposed approach employs a fully unsupervised segme...
Vasileios Mezaris, Ioannis Kompatsiaris, Michael G...
ICIP
2009
IEEE
14 years 6 months ago
Mean Shift Feature Space Warping For Relevance Feedback
Relevance feedback has been taken as an essential tool to enhance content-based information retrieval systems by keeping the user in the retrieval loop. Among the fundamental rele...
ICMCS
2009
IEEE
153views Multimedia» more  ICMCS 2009»
13 years 3 months ago
Advertising based on users' photos
In this paper, we tackle the problem of learning a user's interest from his photo collections and suggesting relevant ads. We address two key challenges in this work: 1) unde...
Xin-Jing Wang, Mo Yu, Lei Zhang 0001, Wei-Ying Ma
TKDE
2008
195views more  TKDE 2008»
13 years 5 months ago
Learning a Maximum Margin Subspace for Image Retrieval
One of the fundamental problems in Content-Based Image Retrieval (CBIR) has been the gap between low-level visual features and high-level semantic concepts. To narrow down this gap...
Xiaofei He, Deng Cai, Jiawei Han
IJON
2002
185views more  IJON 2002»
13 years 5 months ago
An image retrieval system by impression words and specific object names - IRIS
Image content analysis has become an important issue in multimedia processing. Region-based image retrieval systems attempt to reduce the gap between high-level semantics and low-l...
Kazuhiro Kuroda, Masafumi Hagiwara