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ISCIS
2009
Springer
15 years 4 months ago
Dynamic feature weights with relevance feedback in content-based image retrieval
— In this paper, we present a novel relevance feedback method for Content-Based Image Retrieval systems based on dynamic feature weights. The proposed method utilizes intracluste...
Esin Guldogan, Moncef Gabbouj
ISMIR
2003
Springer
94views Music» more  ISMIR 2003»
15 years 2 months ago
A multiple feature model for musical similarity retrieval
Despite the “fuzzy” nature of musical similarity, which varies from one person to another, perceptual low level features combined with appropriate classification schemes have...
E. Allamanche, Jürgen Herre, Oliver Hellmuth,...
CIKM
2009
Springer
15 years 1 months ago
Efficient feature weighting methods for ranking
Feature weighting or selection is a crucial process to identify an important subset of features from a data set. Removing irrelevant or redundant features can improve the generali...
Hwanjo Yu, Jinoh Oh, Wook-Shin Han
MM
2006
ACM
134views Multimedia» more  MM 2006»
15 years 3 months ago
The mediamill large.lexicon concept suggestion engine
In this technical demonstration we show the current version of the MediaMill system, a search engine that facilitates access to news video archives at a semantic level. The core o...
Marcel Worring, Cees G. M. Snoek, Bouke Huurnink, ...
DMS
2010
229views Multimedia» more  DMS 2010»
14 years 8 months ago
Image Annotation System Using Visual and Textual Features
We present an automated Image Annotation system called I-Tag which uses both visual and textual information of the images and recommends relevant tags for them. The automatic gene...
Swapnil Barai, Alfonso F. Cardenas