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» Web image retrieval via learning semantics of query image
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TMM
2002
140views more  TMM 2002»
14 years 11 months ago
Narrowing the semantic gap - improved text-based web document retrieval using visual features
In this paper, we present the results of our work that seek to negotiate the gap between low-level features and high-level concepts in the domain of web document retrieval. This wo...
Rong Zhao, William I. Grosky
ICMCS
2006
IEEE
174views Multimedia» more  ICMCS 2006»
15 years 5 months ago
Web Image Mining Based on Modeling Concept-Sensitive Salient Regions
In this paper, we propose a probabilistic model for web image mining, which is based on concept-sensitive salient regions without human intervene. Our goal is to achieve a middle-...
Jing Liu, Qingshan Liu, Jinqiao Wang, Hanqing Lu, ...
ICCV
2007
IEEE
15 years 6 months ago
Total Recall: Automatic Query Expansion with a Generative Feature Model for Object Retrieval
Given a query image of an object, our objective is to retrieve all instances of that object in a large (1M+) image database. We adopt the bag-of-visual-words architecture which ha...
Ondrej Chum, James Philbin, Josef Sivic, Michael I...
ICMCS
2005
IEEE
89views Multimedia» more  ICMCS 2005»
15 years 5 months ago
Semantic Knowledge Building for Image Database by Analyzing Web Page Contents
In this paper, we present a method of semantic knowledge building for image database by extracting semantic meanings from Web page contents. The novelty of our method is that it i...
Yung-Kwang Lai, Song Liu, Liang-Tien Chia, Syin Ch...
MCAM
2007
Springer
112views Multimedia» more  MCAM 2007»
15 years 5 months ago
SIEVE - Search Images Effectively Through Visual Elimination
Existing Web image search engines index images by textual descriptions including filename, image caption, surrounding text, etc. However, the textual description available on the W...
Ying Liu, Dengsheng Zhang, Guojun Lu