In this paper, we propose a generative model-based approach for audio-visual event classification. This approach is based on a new unsupervised learning method using an extended p...
Ming Li, Sanqing Hu, Shih-Hsi Liu, Sung Baang, Yu ...
We present an example of a joint spatial and temporal task learning algorithm that results in a generative model that has applications for on-line visual control. We review work o...
Our research is driven by the motivation that change must be put in the center, if one wants to understand the complex processes of software evolution. We built a toolset named Sp...
We propose a calibration-free gaze sensing method using visual saliency maps. Our goal is to construct a gaze estimator only using eye images captured from a person watching a vid...
This paper describes the integration of two new services aimed at assisting into the retrieval of video content from a Multimedia Asset Manager (MAM). The first tool suggest tags...