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» Image Retrieval: The MIRACLE Approach
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IDEAL
2005
Springer
15 years 5 months ago
Kernel Biased Discriminant Analysis Using Histogram Intersection Kernel for Content-Based Image Retrieval
It is known that no single descriptor is powerful enough to encompass all aspects of image content, i.e. each feature extraction method has its own view of the image content. A pos...
Lin Mei, Gerd Brunner, Lokesh Setia, Hans Burkhard...
WSCG
2003
191views more  WSCG 2003»
15 years 1 months ago
Binary Histogram in Image Classification for Retrieval Purposes
Image retrieval can be considered as a classification problem. Classification is usually based on some image features. In the feature extraction image segmentation is commonly use...
Iivari Kunttu, Leena Lepistö, Juhani Rauhamaa...
DEXAW
2000
IEEE
145views Database» more  DEXAW 2000»
15 years 4 months ago
A Sound Algorithm for Region-Based Image Retrieval Using an Index
Region-based image retrieval systems aim to improve the effectiveness of content-based search by decomposing each image into a set of “homogeneous” regions. Thus, similarity b...
Ilaria Bartolini, Paolo Ciaccia, Marco Patella
SPIESR
2003
129views Database» more  SPIESR 2003»
15 years 1 months ago
Visual interfaces for a semantic content-based image retrieval system
In an earlier study a Semantic Content Based Image Retrieval system was developed. The system requires a Visual Object Process Diagram - VOPD to be created for each image in the d...
Hagit Zabrodsky Hel-Or, Dov Dori
PAKDD
2009
ACM
263views Data Mining» more  PAKDD 2009»
15 years 6 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