In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
This is a high level computer vision paper, which employs concepts from Natural Language Understanding in solving the video retrieval problem. Our main contribution is the utiliza...
We present Avatar Semantic Search, a prototype search engine that exploits annotations in the context of classical keyword search. The process of annotations is accomplished offli...
Eser Kandogan, Rajasekar Krishnamurthy, Sriram Rag...
This paper discusses the concept of using head and facial feature tracking as an input mechanism for mobile devices. We present our concept and ideas, along with preliminary findi...
Kathryn Carnegie, Stuart Fleming, Esfandiar Ammira...
In this paper we describe a hybrid approach to improving semantic extraction from news video. Experiments show the value of careful parameter tuning, exploiting multiple feature s...
Alexander G. Hauptmann, Ming-yu Chen, Michael G. C...