Generation of sports highlights using motion activity in combination with a common audio feature extraction framework
Ziyu Xiong, Regunathan Radhakrishnan, Ajay Divakaran · 2004
In our past work we have used temporal patterns of motion activity to extract sports highlights. We have also used audio classification based approaches to develop a common audio-based platform for feature extraction that works across three different sports. In this paper, we combine the two aforementioned complementary approaches so as to get higher accuracy. We propose a framework for mining the semantic audio-visual labels in order to detect "interesting" events. Our results show that the proposed techniques work well across our three sports of interest, soccer, golf and baseball.