We propose a new method for handwritten word-spotting which does not require prior training or gathering examples for querying. More precisely, a model is trained "on the fly...
A dependent hierarchical beta process (dHBP) is developed as a prior for data that may be represented in terms of a sparse set of latent features (dictionary elements), with covar...
In this paper we propose a method to retrieve sketches stored in the form of multiple strokes, by extracting the shape information for each stroke and by considering the spatial r...
Image retrieval based on content from digital libraries, multimedia databases, the Internet, and other sources has been an important problem addressed by several researchers. In t...
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...