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» Features for image retrieval: an experimental comparison
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PAMI
2012
13 years 8 months ago
IntentSearch: Capturing User Intention for One-Click Internet Image Search
—Web-scale image search engines (e.g. Google Image Search, Bing Image Search) mostly rely on surrounding text features. It is difficult for them to interpret users’ search int...
Xiaoou Tang, Ke Liu, Jingyu Cui, Fang Wen, Xiaogan...
MIR
2010
ACM
232views Multimedia» more  MIR 2010»
16 years 1 months ago
Exploiting external knowledge to improve video retrieval
Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
David Vallet, Iván Cantador, Joemon M. Jose
SIGIR
2004
ACM
15 years 11 months ago
A search engine for historical manuscript images
Many museum and library archives are digitizing their large collections of handwritten historical manuscripts to enable public access to them. These collections are only available...
Toni M. Rath, R. Manmatha, Victor Lavrenko
MIR
2006
ACM
145views Multimedia» more  MIR 2006»
16 years 4 days ago
Similarity learning via dissimilarity space in CBIR
In this paper, we introduce a new approach to learn dissimilarity for interactive search in content based image retrieval. In literature, dissimilarity is often learned via the fe...
Giang P. Nguyen, Marcel Worring, Arnold W. M. Smeu...
MM
2009
ACM
118views Multimedia» more  MM 2009»
16 years 21 days ago
Vocabulary-based hashing for image search
This paper proposes a hash function family based on feature vocabularies and investigates the application in building indexes for image search. Each hash function is associated wi...
Yingyu Liang, Jianmin Li, Bo Zhang