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ICPR
2000
IEEE
14 years 8 months ago
Feature Relevance Learning with Query Shifting for Content-Based Image Retrieval
Probabilistic feature relevance learning (PFRL) is an effective technique for adaptively computing local feature relevance for content-based image retrieval. It however becomes le...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
ICVGIP
2004
13 years 8 months ago
Content Based Image Retrieval with Multiresolution Salient Points
This paper presents a robust technique for Content Based Image Retrieval (CBIR) using salient points of an image. The salient points are extracted from different levels of the uns...
Minakshi Banerjee, Malay K. Kundu
CISST
2004
164views Hardware» more  CISST 2004»
13 years 8 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
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
ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
14 years 1 months ago
Holistic Comparison of Text Images for Content-Based Retrieval
The accurate recognition of text that appears in images/videos using analytical character recognition methods is often very difficult, despite the fact that the text might be corr...
Julinda Gllavata, Ermir Qeli, Bernd Freisleben