Title :
Multiscale Browsing through Video Collections in Smartphones Using Scalable Storyboards
Author_Institution :
Key Lab. of Intell. Inf. Process., Inst. of Comput. Technol., Beijing, China
Abstract :
This paper explores how multiscale browsing can be integrated with smart phone interfaces to provide enhanced navigation through video collections. We propose a system that allows the user to interactively change the scale of the storyboards, so the user can easily adjust the amount of information provided by them. Three different methods to select key frames are studied, including an efficient method that analyzes the video and creates a scalable description, with very little computational cost. Then, storyboards of any length can be retrieved on demand without any further analysis, which is very convenient to provide fast multiscale navigation. Experimental evaluations show how this method improves the utility of the summaries and enhances user experience.
Keywords :
smart phones; user interfaces; video signal processing; key frame selection; multiscale browsing; multiscale navigation; scalable storyboards; smart phone interfaces; video collections; Algorithm design and analysis; Browsers; Clustering algorithms; Computers; Navigation; Semantics; Smart phones; scalable summary; smartphones; storyboard; user interface; video browsing;
Conference_Titel :
Multimedia and Expo Workshops (ICMEW), 2012 IEEE International Conference on
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4673-2027-6
DOI :
10.1109/ICMEW.2012.54