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» Document Retrieval Using SIFT Image Features
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CVPR
2007
IEEE
16 years 6 months ago
Probabilistic Reverse Annotation for Large Scale Image Retrieval
Automatic annotation is an elegant alternative to explicit recognition in images. In annotation, the image is matched with keyword models, and the most relevant keywords are assig...
K. Pramod Sankar, C. V. Jawahar
ESWA
2008
127views more  ESWA 2008»
15 years 4 months ago
A two-level relevance feedback mechanism for image retrieval
Content-based image retrieval (CBIR) is a group of techniques that analyzes the visual features (such as color, shape, texture) of an example image or image subregion to find simi...
Pei-Cheng Cheng, Been-Chian Chien, Hao-Ren Ke, Wei...
AMR
2006
Springer
157views Multimedia» more  AMR 2006»
15 years 8 months ago
SAFIRE: Towards Standardized Semantic Rich Image Annotation
Most of the currently existing image retrieval systems make use of either low-level features or semantic (textual) annotations. A combined usage during annotation and retrieval is ...
Christian Hentschel, Andreas Nürnberger, Ingo...
144
Voted
CORR
2006
Springer
142views Education» more  CORR 2006»
15 years 4 months ago
Exploiting multilingual nomenclatures and language-independent text features as an interlingua for cross-lingual text analysis a
We are proposing a simple, but efficient basic approach for a number of multilingual and cross-lingual language technology applications that are not limited to the usual two or th...
Ralf Steinberger, Bruno Pouliquen, Camelia Ignat
149
Voted
IJCAI
2007
15 years 6 months ago
Logistic Regression Models for a Fast CBIR Method Based on Feature Selection
Distance measures like the Euclidean distance have been the most widely used to measure similarities between feature vectors in the content-based image retrieval (CBIR) systems. H...
Riadh Ksantini, Djemel Ziou, Bernard Colin, Fran&c...