We consider the problem of extracting specified types of information from natural language text. To properly analyze the text, we wish to apply semantic (selectional) constraints ...
We propose to use a visual object (e.g., the baseball catcher) detection algorithm to find local, semantic objects in video frames in addition to an audio classification algorit...
An important feature of many problem domains in machine learning is their geometry. For example, adjacency relationships, symmetries, and Cartesian coordinates are essential to an...
The explosion in the amount of free text materials on the Internet, and the use of this information by people from all walks of life, has made the issue of generalized information...
Abstract. This paper presents a new method for extracting semantic information from basketball video. Our approach consists of three stages: shot and scene boundary detection, scen...
Song Liu, Haoran Yi, Liang-Tien Chia, Deepu Rajan,...