Detection of Biased Broadcast Sports Video Highlights by Attribute-Based Tweets Analysis

We propose a method for detecting biased-highlights in a broadcast sports video according to viewers' attributes obtained from a large number of tweets. Recently, Twitter is widely used to make real-time play-by-play comments on TV programs, especially on sports games. This trend enables us to effectively acquire the viewers' interests in a large mass. In order to make use of such tweets for highlight de- tection in broadcast sports video, the proposed method first performs an attribute analysis on the set of tweets issued by each user to classify which team he/she supports. It then detects biased-highlights by refer- ring to the number of tweets made by viewers with a specific attribute.