Voice processing for automatic TV sports program highlights detection

摘要

The imminent rapid expansion in the number of TV channels is driving the need for efficient digital video indexing, browsing and playback systems. For the past four years, the Centre for Digital Video Processing in DCU has been working towards the provision of such a system. The current stage of development is demonstrated on our Web-based digital video system called Físchlár [1,2], which is now in hourly use by over 1000 registered users. At present a user can pre-set the recording of TV broadcast programmes and can choose from a set of different browser interfaces which allow navigation through the recorded programmes. As our research has developed we have been adding increased functionality such as personalisation andudprogramme recommendation, automatic recording, SMS/WAP/PDA alerting, searching, summarising and so on. There have been many approaches to automatic highlight detection and summarization of sports programmesud[3-6]. However, most methods are oriented to particular sports and/or specific edit effects or need muchudcomputational effort. Therefore we decided to take a more basic and generic approach based on the observationudthat, in most common sports coverage with a commentator and spectators, exciting events are usually characterized by an increase in the audio amplitude, particularly in the speech band. Measurement of the audio amplitude is described in Section II and a case study is presented in Section III. Section IV summarises results while conclusions and areas of continuing and future work are outlined in Section V.