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» An Effective Content-Based Visual Image Retrieval System
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ACISICIS
2007
IEEE
15 years 10 months ago
A Modified K-means Algorithm for Noise Reduction in Optical Motion Capture Data
This paper presents a modified K-means algorithm that can be used for removing noise in multicolor motion capture image sequences. These images have been produced using the Illumi...
Jan Carlo Barca, Grace W. Rumantir
WWW
2009
ACM
16 years 4 months ago
Learning to tag
Social tagging provides valuable and crucial information for large-scale web image retrieval. It is ontology-free and easy to obtain; however, irrelevant tags frequently appear, a...
Lei Wu, Linjun Yang, Nenghai Yu, Xian-Sheng Hua
ICDE
2005
IEEE
107views Database» more  ICDE 2005»
15 years 9 months ago
The Quality vs. Time Trade-off for Approximate Image Descriptor Search
In recent years, content-based image retrieval has become more and more important in many application areas. Similarity retrieval is inherently a very demanding process, in partic...
Rut Siguroardottir, Björn Þór J&...
140
Voted
GRAPHITE
2005
ACM
15 years 9 months ago
Auditory bias of visual attention for perceptually-guided selective rendering of animations
The developers and users of real-time graphics, such as games and virtual reality, are demanding ever more realistic computer generated images. Despite the availability of modern ...
Georgia Mastoropoulou, Kurt Debattista, Alan Chalm...
167
Voted
CLEF
2009
Springer
15 years 1 months ago
Overview of the CLEF 2009 Large-Scale Visual Concept Detection and Annotation Task
The large-scale visual concept detection and annotation task (LS-VCDT) in ImageCLEF 2009 aims at the detection of 53 concepts in consumer photos. These concepts are structured in ...
Stefanie Nowak, Peter Dunker