A User-Centric System for Home Movie Summarisation

In this paper we present a user-centric summarisation system that combines automatic visual-content analysis with user-interface design features as a practical method for home movie summarisation. The proposed summarisation system is designed in such a manner that the video segmentation results generated by the automatic content analysis tools are further subject to refinement through the use of an intuitive user-interface so that the automatically created summaries can be effectively tailored to each individual’s personal need. To this end, we study a number of content analysis techniques to facilitate the efficient computation of video summaries, and more specifically emphasise the need for employing an efficient and robust optical flow field computation method for sub-shot segmentation in home movies. Due to the subjectivity of video summarisation and the inherent challenges associated with automatic content analysis, we propose novel user-interface design features as a means...

• Type: Journal
• Year: 2011
• Where: MMM
• Authors: Saman Cooray, Hyowon Lee, Noel E. O'Connor
• Keywords: Automatic Content Analysis, MMM 2011, Multimedia, Visual Comprehension, Visual Content Analysis