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» A General Method for Feature Matching and Model Extraction
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ICMCS
2006
IEEE
132views Multimedia» more  ICMCS 2006»
15 years 7 months ago
Clustering-Based Analysis of Semantic Concept Models for Video Shots
In this paper we present a clustering-based method for representing semantic concepts on multimodal low-level feature spaces and study the evaluation of the goodness of such model...
Markus Koskela, Alan F. Smeaton
ICASSP
2009
IEEE
15 years 8 months ago
Generalized mutual interdependence analysis
The mean of a data set is one trivial representation of data from one class. Recently, mutual interdependence analysis (MIA) has been successfully used to extract more involved re...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ACCV
2009
Springer
15 years 8 months ago
A Probabilistic Model for Correspondence Problems Using Random Walks with Restart
Abstract. In this paper, we propose an efficient method for finding consistent correspondences between two sets of features. Our matching algorithm augments the discriminative pow...
Tae Hoon Kim, Kyoung Mu Lee, Sang Uk Lee
CVPR
2008
IEEE
16 years 3 months ago
Probabilistic graph and hypergraph matching
We consider the problem of finding a matching between two sets of features, given complex relations among them, going beyond pairwise. Each feature set is modeled by a hypergraph ...
Ron Zass, Amnon Shashua
DELOS
2000
15 years 2 months ago
SMP and Cluster Architectures for Retrieval of Images in Digital Libraries
: This paper presents an overview over parallel architectures for the efficient realisation of digital libraries by considering image databases as an example. The state of the art ...
Odej Kao