User-driven sports video customization system for mobile devices

Abstract

In this paper, we have implemented a user-driven sports video customization system, aiming to provide interesting video clips for mobile users according to their personalized preferences. In this system, we use the web-casting text to detect events from sports video and generate rich content description. In particular, the video clock time on the scoreboard is recognized for the purpose of aligning these events from web-casting text to sports video clips. The proposed extended-hidden Markov model (extended-HMM) is proved to be able to recognize the clock time precisely. To save mobile web traffic, an optional function based on the proposed event based video encoding approach is embedded in the system. Compared with traditional encoding approach, this approach provides bitrate saving of about 34% while the quality of frames which users are interested in keeps the same. Both quantitative and qualitative experiments have been conducted to prove the proposed approaches’ effectiveness.