Action detection was formulated as a subvolume mutual information maximization problem in [8], where each subvolume identifies where and when the action occurs in the video. Desp...
We propose a method for browsing multiple videos with a common theme, such as the result of a search query on a video sharing website, or videos of an event covered by multiple ca...
Kevin Dale, Eli Shechtman, Shai Avidan, Hanspeter ...
Abstract. Learning event models from videos has applications ranging from abnormal event detection to content based video retrieval. Relational learning techniques such as Inductiv...
Krishna S. R. Dubba, Anthony G. Cohn, David C. Hog...
Abstract. Purpose: To develop a system for assisting the analysis of capsuleendoscopy (CE) video data and identifying sequences of frames related to small intestine motility. Mater...
Video indexing is an important problem that has occupied recent research efforts. The text appearing in video can provide semantic information about the scene content. Detecting a...
Ullas Gargi, David J. Crandall, Sameer Antani, Tar...