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» New Features to Identify Computer Generated Images
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MMS
2006
15 years 1 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
CBMS
2003
IEEE
15 years 6 months ago
MultiWaveMed: A System for Medical Image Retrieval through Wavelets Transformations
This paper presents the MultiWaveMed system, which is a new software allowing to index and retrieve medical images through the comparison of their texture features. The features a...
Agma J. M. Traina, César A. B. Castañ...
CARS
2004
15 years 3 months ago
Colonic polyp characterization and detection based on both morphological and texture features
In this paper, a method is presented for detection of colonic polyps using both morphological and texture features of the colon wall from the abdominal computed tomography (CT) im...
Zigang Wang, Lihong Li 0002, Joseph Anderson, Dona...
ICPR
2004
IEEE
16 years 2 months ago
Integration of Feature Distributions for Colour Texture Segmentation
This paper proposes a new framework for colour texture segmentation and determines the contribution of colour and texture. The distributions of colour and texture features provide...
Padmapriya Nammalwar, Ovidiu Ghita, Paul F. Whelan
190
Voted
CVPR
2001
IEEE
16 years 3 months ago
Rapid Object Detection using a Boosted Cascade of Simple Features
This paper describes a machine learning approach for visual object detection which is capable of processing images extremely rapidly and achieving high detection rates. This wor...
Paul A. Viola, Michael J. Jones