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» Combining Textual and Visual Features for Image Retrieval
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ICPR
2006
IEEE
15 years 11 months ago
Adaptive Discriminant Projection for Content-based Image Retrieval
Content-based Image Retrieval (CBIR) is a computer vision application that aims at automatically retrieving images based on their visual content. Linear Discriminat Analysis and i...
Jie Yu, Qi Tian
ICPR
2004
IEEE
15 years 11 months ago
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval
Content-based image retrieval (CBIR) addresses the problem of finding images relevant to the users' information needs, based principally on low-level visual features for whic...
Markus Koskela, Jorma Laaksonen, Erkki Oja
ICPR
2004
IEEE
15 years 11 months ago
Image Retrieval by Local Evaluation of Nonlinear Kernel Functions around Salient Points
Feature histograms based on the evaluation of Haar integrals with nonlinear kernel functions were used successfully for the purpose of invariant content based image retrieval. In ...
Alaa Halawani, Hans Burkhardt
CVPR
2010
IEEE
15 years 2 months ago
The Automatic Design of Feature Spaces for Local Image Descriptors using an Ensemble of Non-linear Feature Extractors
The design of feature spaces for local image descriptors is an important research subject in computer vision due to its applicability in several problems, such as visual classifi...
Gustavo Carneiro
PCM
2004
Springer
120views Multimedia» more  PCM 2004»
15 years 3 months ago
Region-Based Image Retrieval with Perceptual Colors
Due to the ‘semantic gap’ between low-level visual features and the rich semantics in user’s mind, performance of traditional contentbased image retrieval systems is far from...
Ying Liu, Dengsheng Zhang, Guojun Lu, Wei-Ying Ma