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» Features for Image Retrieval: A Quantitative Comparison
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ISM
2006
IEEE
209views Multimedia» more  ISM 2006»
13 years 11 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
GIS
2007
ACM
14 years 6 months ago
Comparing global and interest point descriptors for similarity retrieval in remote sensed imagery
We investigate the application of a new category of low-level image descriptors termed interest points to remote sensed image analysis. In particular, we compare how scale and rot...
Shawn Newsam, Yang Yang
ICIP
2003
IEEE
13 years 10 months ago
Evaluating group-based relevance feedback for content-based image retrieval
We have been developing new relevance feedback algorithms for Content-based Image Retrieval (CBIR) that allow the user to achieve more flexible query. In conjunction with the new...
Munehiro Nakazato, Charlie K. Dagli, Thomas S. Hua...
ICMCS
2007
IEEE
180views Multimedia» more  ICMCS 2007»
13 years 5 months ago
Content-Based Image Categorization and Retrieval using Neural Networks
We propose a neural network based method for organizing images for content-based image retrieval. We use spectral histogram features, the histograms of filtered images to capture...
Yuhua Zhu, Xiuwen Liu, Washington Mio
PCM
2004
Springer
104views Multimedia» more  PCM 2004»
13 years 10 months ago
An Image Retrieval Scheme Using Multi-instance and Pseudo Image Concepts
Abstract. Content-based image search has long been considered a difficult task. Making correct conjectures on the user intention (perception) based on the query images is a critica...
Feng-Cheng Chang, Hsueh-Ming Hang