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ICASSP
2008
IEEE
15 years 6 months ago
Forensic techniques for classifying scanner, computer generated and digital camera images
Digital images can be captured or generated by a variety of sources including digital cameras, scanners and computer graphics softwares. In many cases it is important to be able t...
Nitin Khanna, George T.-C. Chiu, Jan P. Allebach, ...
AIRS
2008
Springer
15 years 1 months ago
Comparing Dissimilarity Measures for Content-Based Image Retrieval
Abstract. Dissimilarity measurement plays a crucial role in contentbased image retrieval, where data objects and queries are represented as vectors in high-dimensional content feat...
Haiming Liu 0002, Dawei Song, Stefan M. Rüger...
SIGIR
2003
ACM
15 years 4 months ago
Image classification using hybrid neural networks
Use of semantic content is one of the major issues which needs to be addressed for improving image retrieval effectiveness. We present a new approach to classify images based on t...
Chih-Fong Tsai, Kenneth McGarry, John Tait
ICPR
2004
IEEE
16 years 21 days ago
Detecting Abnormal Regions in Colonoscopic Images by Patch-based Classifier Ensemble
In this paper, a new method is proposed to detect abnormal regions in colonoscopic images by patch-based classifier ensemble. Through supervised learning from image patches of var...
Kap Luk Chan, Peng Li, Shankar Muthu Krishnan, Yan...
ICIP
1999
IEEE
16 years 1 months ago
Compression of Compound Documents
Compound (or mixed) document images contain graphic or textual content along with pictures. They are a very common form of documents, found in magazines, brochures, web-sites etc....
Ricardo L. de Queiroz