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» Diversifying the image retrieval results
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MIR
2003
ACM
174views Multimedia» more  MIR 2003»
14 years 24 days ago
Content-based image retrieval by clustering
In a typical content-based image retrieval (CBIR) system, query results are a set of images sorted by feature similarities with respect to the query. However, images with high fea...
Yixin Chen, James Ze Wang, Robert Krovetz
ICIP
2006
IEEE
14 years 9 months ago
Image Retrieval using Long-Term Semantic Learning
The automatic computation of features for content-based image retrieval still has difficulties to represent the concepts the user has in mind. Whenever an additional learning stra...
Matthieu Cord, Philippe Henri Gosselin
ICIP
2002
IEEE
14 years 9 months ago
Segmentation and histogram generation using the HSV color space for image retrieval
We have analyzed the properties of the HSV (Hue, Saturation and Value) color space with emphasis on the visual perception of the variation in Hue, Saturation and Intensity values ...
Shamik Sural, Gang Qian, Sakti Pramanik
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
14 years 2 months ago
Spatial Weighting for Bag-of-Visual-Words and Its Application in Content-Based Image Retrieval
It is a challenging and important task to retrieve images from a large and highly varied image data set based on their visual contents. Problems like how to fill the semantic gap b...
Xin Chen, Xiaohua Hu, Xiajiong Shen
SPIESR
1997
143views Database» more  SPIESR 1997»
13 years 9 months ago
Similarity Evaluation in Image Retrieval Using Simple Features
The development of increasingly complex multimedia applications calls for new methodologies for the organization and retrieval of still images and video sequences. Query and retri...
Eugenio Di Sciascio, Augusto Celentano