Sciweavers

ISW
1997
Springer
14 years 8 days ago
Signcryption and Its Applications in Efficient Public Key Solutions
Signcryption is a new paradigm in public key cryptography that simultaneously fulfills both the functions of digital signature and public key encryption in a logically single step,...
Yuliang Zheng
VISUAL
2000
Springer
14 years 8 days ago
Leaf Image Retrieval with Shape Features
Zhiyong Wang, Zheru Chi, David Dagan Feng, Qing Wa...
VISUAL
2000
Springer
14 years 8 days ago
Main Mobile Object Detection and Localization in Video Sequences
Gabriel Tsechpenakis, Yiannis Xirouhakis, Anastasi...
VISUAL
2000
Springer
14 years 8 days ago
MRML: A Communication Protocol for Content-Based Image Retrieval
Wolfgang Müller 0002, Henning Müller, St...
VISUAL
2000
Springer
14 years 8 days ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe
VISUAL
2000
Springer
14 years 8 days ago
Statistical Motion-Based Retrieval with Partial Query
We present an original approach for motion-based retrieval involving partial query. More precisely, we propose an uni ed statistical framework both to extract entities of interest ...
Ronan Fablet, Patrick Bouthemy
VISUAL
2000
Springer
14 years 8 days ago
Chinese Cursive Script Character Image Retrieval Based on an Integrated Probability Function
Abstract. Often in content-based image retrieval, a single image attribute may not have enough discriminative information for retrieval. On the other hand, when multiple features a...
Irwin King, Zhong Jin, David Yuk-Ming Chan
VISUAL
2000
Springer
14 years 8 days ago
Content-Based Image Retrieval by Relevance Feedback
Relevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them ...
Zhong Jin, Irwin King, Xuequn Li