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» Content-based Video Retrieval
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ICVGIP
2004
13 years 9 months ago
Improved Cut-Based Foreground Identification
Automatic content based schemes, as opposed to those with human endeavor, have become important as users attempt to organize massive data presented in the form of multimedia data ...
Sharat Chandran, Satwik Hebbar, Vishal Mamania, Ab...
ICPR
2008
IEEE
14 years 2 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
UIST
1995
ACM
13 years 11 months ago
Speech for Multimedia Information Retrieval
We describe the Informediatm News-on-Demand system. News-on-Demand is an innovative example of indexing and searching broadcast video and audio material by text content. The fully...
Alexander G. Hauptmann, Michael J. Witbrock, Alexa...
CIIA
2009
13 years 8 months ago
Color Quantization and its Impact on Color Histogram Based Image Retrieval
The comparison of color histograms is one of the most widely used techniques for Content-Based Image Retrieval. Before establishing a color histogram in a defined model (RGB, HSV o...
Khouloud Meskaldji, Samia Boucherkha, Salim Chikhi
ICIP
2001
IEEE
14 years 9 months ago
Shape measures for image retrieval
One of the main goals in Content Based Image Retrieval (CBIR) is to incorporate shape into the process in a reliable manner. In order to overcome the difficulties of directly obta...
George Gagaudakis, Paul L. Rosin