A Video Timeline with Bookmarks and Prefetch State for Faster Video Browsing

Axel Carlier (1, 2) , Vincent Charvillat (1, 2) , Wei Tsang Ooi (3)

1 IRIT-REVA - Real Expression Artificial Life
2 Toulouse INP - Institut National Polytechnique (Toulouse)
3 NUS - National University of Singapore

Reducing seek latency by predicting what the users will access is important for user experience, particularly during video browsing, where users seek frequently to skim through a video. Much existing research strived to predict user access pattern more accurately to improve the prefetching hit rate. This paper proposed a different approach whereby the prefetch hit rate is improved by biasing the users to seek to prefetched content with higher probability, through changing the video player user interface. Through a user study, we demonstrated that our player interface can lead to up to 4$\times$ more seeks to bookmarked segments and reduce seek latency by 40\%, compared to a video player interface commonly used today. The user study also showed that the user experience and the understanding of the video content when browsing is not compromised by the changes in seek behavior. .

Mots clés: Video browsing; Bookmarks; Prefetching

Domaines: Synthèse d'image et réalité virtuelle [cs.GR]; Traitement du signal et de l'image [eess.SP]; Traitement des images [eess.IV]; Vision par ordinateur et reconnaissance de formes [cs.CV]; Intelligence artificielle [cs.AI]

Axel Carlier, Vincent Charvillat, Wei Tsang Ooi. A Video Timeline with Bookmarks and Prefetch State for Faster Video Browsing. 23rd ACM international conference on Multimedia (MM' 15), Oct 2015, Brisbane, Australia. pp. 967-970. ⟨hal-01282049⟩