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» Using Maximum Entropy for Automatic Image Annotation
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ISBI
2002
IEEE
14 years 8 months ago
Automatic segmentation of mammographic masses using fuzzy shadow and maximum-likelihood analysis
This study attempted to accurately segment tumors in mammograms. Although this task is considered to be a preprocessing step in a computer analysis program, it plays an important ...
Lisa Kinnard, Shih-Chung Ben Lo, Paul C. Wang, Mat...
ICIP
2002
IEEE
14 years 26 days ago
An iterative algorithm for context selection in adaptive entropy coders
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Tong Jin, Jacques Vaisey
MM
2006
ACM
167views Multimedia» more  MM 2006»
14 years 1 months ago
Image annotation by large-scale content-based image retrieval
Image annotation has been an active research topic in recent years due to its potentially large impact on both image understanding and Web image search. In this paper, we target a...
Xirong Li, Le Chen, Lei Zhang, Fuzong Lin, Wei-Yin...
ICIP
2003
IEEE
14 years 9 months ago
Accurate real-time object tracking with linear prediction method
This paper presents an efticient technique for real-time tracking of a single moving object in terrestrial scenes using a stationary camera. The tracking algorithm is based on the...
Phaik Yong Yeoh, Syed A. R. Abu-Bakar
GBRPR
2009
Springer
14 years 2 months ago
Annotated Contraction Kernels for Interactive Image Segmentation
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
Hans Meine