Our experiments in TRECVID 2008 include participation in the high-level feature extraction, automatic search, video summarization, and video copy detection tasks, using a common s...
In this paper, we present our experiments in TRECVID 2008 about High-Level feature extraction task. This is the first year for our participation in TRECVID, our system adopts some...
— The amount of data stored in data warehouses grows very quickly so that they can get saturated. To overcome this problem, we propose a language for specifying forgetting functi...
Abstract— We propose in this paper a generalization of percolation processes in Z2 using the pretopology theory. We formalize the notion of neighborhood by extending it to the co...
— In this paper, we present a new approach for automatic car detection from aerial images. The system exploits a robust machine learning method known as boosting for efficient c...
Thuy Thi Nguyen, Helmut Grabner, Horst Bischof, B....
- Knowledge extraction methods have not efficiently evolved towards new methods to automate the process of building multilingual ontologies as the main representation of structured...
- The future of the Semantic Web envisions an interconnected network of data and systems where software agents can communicate seamlessly to perform complicated tasks with limited ...
Danny Chen, John Lastusky, James Starz, Stephen Ho...
The authors want to show the implication of interactive ICT on patient empowerment, through an overview of some of the key aspects - EHR, telecare and patient networks - all this w...
Lodewijk Bos, Andrew Marsh, Denis Carroll, Sanjeev...
- Semantic technologies, such as RDF (Resource Description Framework) and OWL (Web Ontology Language), are being widely used to store information. Ontology is mostly used in semant...