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» Features for image retrieval: an experimental comparison
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ICMCS
2005
IEEE
78views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Meeting video retrieval using dynamic HMM model similarity
Overcoming the semantic-feature gap and adapting to context are two main challenges in content-based retrieval. The problem is even more complicated for unstructured videos such a...
Dar-Shyang Lee, Jonathan J. Hull, Berna Erol
MIR
2006
ACM
223views Multimedia» more  MIR 2006»
14 years 1 months ago
Adaptive image retrieval using a Graph model for semantic feature integration
The variety of features available to represent multimedia data constitutes a rich pool of information. However, the plethora of data poses a challenge in terms of feature selectio...
Jana Urban, Joemon M. Jose
JUCS
2010
145views more  JUCS 2010»
13 years 5 months ago
Block-based Against Segmentation-based Texture Image Retrieval
Abstract: This paper concerns the best approach to the capture of local texture features for use in content-based image retrieval (CBIR) applications. From our previous work, two a...
Mohammad Faizal Ahmad Fauzi, Paul H. Lewis
CBMS
2003
IEEE
14 years 20 days ago
MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations
This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features a...
Agma J. M. Traina, César A. B. Castañ...
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