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» Boosting Image Retrieval
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ICIP
2007
IEEE
15 years 2 days ago
Using Phase and Magnitude Information of the Complex Directional Filter Bank for Texture Image Retrieval
This paper discusses how to utilize both magnitude and phase information obtained from the complex directional lter bank (CDFB) for the purpose of texture image retrieval. The rel...
An P. N. Vo, Soontorn Oraintara, Truong T. Nguyen
ICIP
2005
IEEE
15 years 1 days ago
Semantic kernel learning for interactive image retrieval
Content-based image retrieval systems still have difficulties to bridge the semantic gap between the low-level representation of images and the high level concepts the user is loo...
Philippe Henri Gosselin, Matthieu Cord
ICIP
2002
IEEE
14 years 12 months ago
Exploiting group structure to improve retrieval accuracy and speed in image databases
Most image retrieval systems perform a linear search over the database to find the closest match to a query. However, databases usually exhibit a natural grouping structure into c...
Nuno Vasconcelos
ISCIS
2009
Springer
14 years 5 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ERCIMDL
2007
Springer
119views Education» more  ERCIMDL 2007»
14 years 4 months ago
Exploring Digital Libraries with Document Image Retrieval
In this paper, we describe a system to perform Document Image Retrieval in Digital Libraries. The system allows users to retrieve digitized pages on the basis of layout similaritie...
Simone Marinai, Emanuele Marino, Giovanni Soda