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» Estimating Missing Features to Improve Multimedia Retrieval
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CIKM
2009
Springer
15 years 3 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
CIVR
2010
Springer
160views Image Analysis» more  CIVR 2010»
15 years 4 months ago
Today's and tomorrow's retrieval practice in the audiovisual archive
Content-based video retrieval is maturing to the point where it can be used in real-world retrieval practices. One such practice is the audiovisual archive, whose users increasing...
Bouke Huurnink, Cees G. M. Snoek, Maarten de Rijke...
MM
2010
ACM
265views Multimedia» more  MM 2010»
14 years 12 months ago
Affective image classification using features inspired by psychology and art theory
Images can affect people on an emotional level. Since the emotions that arise in the viewer of an image are highly subjective, they are rarely indexed. However there are situation...
Jana Machajdik, Allan Hanbury
ICIP
2006
IEEE
16 years 1 months ago
A Robust Method for the Estimation of Reliable Wide Baseline Correspondences
In this paper we present a complete method to retrieve reliable correspondences among wide baseline images, that is images of the same scene/object acquired from very different vi...
Francesco Colletto, Marco Marcon, Augusto Sarti, S...
MIR
2010
ACM
217views Multimedia» more  MIR 2010»
15 years 5 months ago
Feature selection for content-based, time-varying musical emotion regression
In developing automated systems to recognize the emotional content of music, we are faced with a problem spanning two disparate domains: the space of human emotions and the acoust...
Erik M. Schmidt, Douglas Turnbull, Youngmoo E. Kim