PEGASUS: an information mining system for TV news videos

2006 ◽  
Author(s):  
Jingen Liu ◽  
Yun Zhai ◽  
Mubarak Shah
Keyword(s):  
Mining System ◽  
Information Mining ◽  
Tv News

Automated Information Mining on Multimedia TV News Archives

2005 ◽  
pp. 1238-1244 ◽  
Author(s):  
P. S. Lai ◽  
S. S. Cheng ◽  
S. Y. Sun ◽  
T. Y. Huang ◽  
J. M. Su ◽  
...  
Keyword(s):  
Information Mining ◽  
Tv News

Research on Construction of Risk Information Mining System in Programme

2011 ◽  
Vol 255-260 ◽  
pp. 3928-3932
Author(s):  
Zhi Guo Zhang
Keyword(s):  
Risk Management ◽  
Project Management ◽  
Management Development ◽  
Risk Information ◽  
Mining System ◽  
Information Mining

Programme management is integrated and coordinated management for multitudinous interactive Projects, It is a very important part of multi-Project management and trend for Project management development. Compared with single project management, It may face more kind and more complicated risks in the process of programme management. on the base of programme risk management, the paper analyze concept, characters, classification of risk information ,and designed system of programme risk information mining, then analyze the factors. It can provide a basis for the risk management.

Development and Application of a Chinese Webpage Suicide Information Mining System (Sims)

2014 ◽  
Vol 38 (11) ◽  
Author(s):  
Penglai Chen ◽  
Jing Chai ◽  
Lu Zhang ◽  
Debin Wang
Keyword(s):  
Mining System ◽  
Information Mining

scholarly journals Image information mining : exploration of Earth observation archives

2003 ◽  
Vol 58 (2) ◽  
pp. 154-168 ◽  
Author(s):  
M. Dateu ◽  
K. Seidel
Keyword(s):  
Bayesian Learning ◽  
Geographical Location ◽  
Remote Sensing Data ◽  
Data Access ◽  
Relevant Information ◽  
Data Sets ◽  
Mining System ◽  
Information Mining ◽  
Image Objects ◽  
New Applications

Abstract. The new generation of high resolution imaging satellites acquires huge amounts of data which are stored in large archives. The state-of-the-art Systems for data access allow only queries by geographical location, time of acquisition or type of sensor. This information is often less important than the content of the scene, i.e. structures, objects or scattering properties. Meanwhile, many new applications of remote sensing data are closer to Computer vision and require the knowledge of complicated spatial and structural relationships among image objects. We are creating an intelligent satellite information mining system, a next generation architecture to help users to rapidly collect information, a tool to enhance and to manage the huge amount of historical and newly acquired satellite data-sets by giving experts access to relevant information in an understandable and directly usable form and to provide friendly interfaces for information query and browsing. Research topics are within the frame of Bayesian learning, content-based querying, data modelling and adaptation to user conjecture.

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