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» Mixture model based contextual image retrieval
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ICASSP
2010
IEEE
14 years 11 months ago
Hierarchical Gaussian Mixture Model
Gaussian mixture models (GMMs) are a convenient and essential tool for the estimation of probability density functions. Although GMMs are used in many research domains from image ...
Vincent Garcia, Frank Nielsen, Richard Nock
IJCV
2007
163views more  IJCV 2007»
14 years 11 months ago
Semantic Modeling of Natural Scenes for Content-Based Image Retrieval
In this paper, we present a novel image representation that renders it possible to access natural scenes by local semantic description. Our work is motivated by the continuing effo...
Julia Vogel, Bernt Schiele
ICA
2004
Springer
15 years 4 months ago
An Iterative Blind Source Separation Method for Convolutive Mixtures of Images
The paper deals with blind source separation of images. The model which is adopted here is a convolutive multi-dimensional one. Recent results about polynomial matrices in several ...
Marc Castella, Jean-Christophe Pesquet
ICIP
2005
IEEE
15 years 4 months ago
Content-based medical image retrieval using dynamically optimized regional features
This paper proposes a content-based medical image retrieval (CBMIR) framework using dynamically optimized features from multiple regions of medical images. These regional features...
Wei Xiong, Bo Qiu, Qi Tian, Changsheng Xu, Sim Hen...
ICMCS
2010
IEEE
149views Multimedia» more  ICMCS 2010»
14 years 11 months ago
Single-view recaptured image detection based on physics-based features
In daily life, we can see images of real-life objects on posters, television, or virtually any type of smooth physical surfaces. We seldom confuse these images with the objects pe...
Xinting Gao, Tian-Tsong Ng, Bo Qiu, Shih-Fu Chang