  We approach the challenging problem of generating highlights from sports
broadcasts utilizing audio information only. A language-independent,
multi-stage classification approach is employed for detection of key acoustic
events which then act as a platform for summarization of highlight scenes.
Objective results and human experience indicate that our system is highly
efficient.
