On Implementing Risk-Based Content Annotation in SHM

Author(s):  
Kamil Matouek ◽  
Kopecky
Keyword(s):  
Author(s):  
Werner Bailer ◽  
Marco Masetti ◽  
Goranka Zorić ◽  
Marcus Thaler ◽  
Georg Thallinger
Keyword(s):  

Author(s):  
Bogdan Ionescu ◽  
Alexandru Marin ◽  
Patrick Lambert ◽  
Didier Coquin ◽  
Constantin Vertan

This article discusses content-based access to video information in large video databases and particularly, to retrieve animated movies. The authors examine temporal segmentation, and propose cut, fade and dissolve detection methods adapted to the constraints of this domain. Further, the authors discuss a fuzzy linguistic approach for deriving automatic symbolic/semantic content annotation in terms of color techniques and action content. The proposed content descriptions are then used with several data mining techniques (SVM, k-means) to automatically retrieve the animation genre and to classify animated movies according to some color techniques. The authors integrate all the previous techniques to constitute a prototype client-server architecture for a 3D virtual environment for interactive video retrieval.


Author(s):  
Jiehan Zhou ◽  
Mika Rautiainen ◽  
Zhonghong Ou ◽  
Mika Ylianttila

Peer-to-Peer Service-oriented Community Coordinated Multimedia (SCCM) is envisioned as a novel paradigm in which the user consumes multiple media through requesting multimedia-intensive Web services via diversity display devices, converged networks, and heterogeneous platforms within a virtual, open and collaborative community in this chapter. A generic P2P SCCM scenario is created and examined first. A SCCM model is designed with the adoption of the service orientation approach and principles. A tunneled hierarchical P2P model is designed for improving performance of service lookup and session setup. Next, performance analysis is presented with the average number of service lookup hops in the tunneled hierarchical P2P model. Finally, a prototype service implementation is presented with the design of content annotation service and application on face detection.


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