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IMCSIT
2010
13 years 6 months ago
Emotion-based Image Retrieval - an Artificial Neural Network Approach
Human emotions can provide an essential clue in searching images in an image database. The paper presents our approach to content based image retrieval systems which takes into acc...
Katarzyna Agnieszka Olkiewicz, Urszula Markowska-K...
SAC
2004
ACM
14 years 2 months ago
Similarity between Euclidean and cosine angle distance for nearest neighbor queries
Understanding the relationship among different distance measures is helpful in choosing a proper one for a particular application. In this paper, we compare two commonly used dis...
Gang Qian, Shamik Sural, Yuelong Gu, Sakti Pramani...
CLEF
2006
Springer
14 years 16 days ago
Image Retrieval and Annotation Using Maximum Entropy
I feel smaller than 10 words but should be 250 words. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.3 Information Search and Retrieval ; I.5 [Pat...
Thomas Deselaers, Tobias Weyand, Hermann Ney
ICMCS
2009
IEEE
142views Multimedia» more  ICMCS 2009»
13 years 6 months ago
Rotation invariant curvelet features for texture image retrieval
Effective texture feature is an essential component in any content based image retrieval system. In the past, spectral features, like Gabor and wavelet, have shown superior retrie...
Md. Monirul Islam, Dengsheng Zhang, Guojun Lu
ICPR
2008
IEEE
14 years 3 months ago
Interactive feature visualization for image retrieval
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a “black box” to th...
Johannes Imo, Sebastian Klenk, Gunther Heidemann