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» Document Image Retrieval with Local Feature Sequences
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CISST
2004
164views Hardware» more  CISST 2004»
14 years 11 months ago
Probabilistic Region Relevance Learning for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective method for adaptively computing local feature relevance in content-based image retrieval. It computes flexible retr...
Iker Gondra, Douglas R. Heisterkamp
ICPR
2000
IEEE
15 years 2 months ago
Locale-Based Visual Object Retrieval under Illumination Change
Providing a user with an effective image search engine has been a very active research area. A search by an object model is considered to be one of the most desirable and yet difï...
Zinovi Tauber, Ze-Nian Li, Mark S. Drew
AMR
2005
Springer
128views Multimedia» more  AMR 2005»
15 years 3 months ago
Ranking Invariance Based on Similarity Measures in Document Retrieval
Abstract. To automatically retrieve documents or images from a database, retrieval systems use similarity measures to compare a request based on features extracted from the documen...
Jean-François Omhover, Maria Rifqi, Marcin ...
CIVR
2005
Springer
205views Image Analysis» more  CIVR 2005»
15 years 3 months ago
Automatic Image Semantic Annotation Based on Image-Keyword Document Model
Abstract. This paper presents a novel method of automatic image semantic annotation. Our approach is based on the Image-Keyword Document Model (IKDM) with image features discretiza...
Xiangdong Zhou, Lian Chen, Jianye Ye, Qi Zhang, Ba...
99
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CLEF
2008
Springer
14 years 11 months ago
UJM at ImageCLEFwiki 2008
This paper reports our multimedia information retrieval experiments carried out for the ImageCLEF track (ImageCLEFwiki). The task is to answer to user information needs, i.e. quer...
Christophe Moulin, Cécile Barat, Mathias G&...