Trends and opportunities in consumer video content navigation and analysis
Junfeng Jiang, Xiao-Ping Steven Zhang · 2012 International Conference on Computing, Networking and Communications (ICNC) · 2012
In recent years, digital videos are becoming available at an ever-increasing rate. It has never been easier for ordinary people to record, edit, deliver, and publish their own home-made digital videos over Internet. However, the increasing availability of digital video has not been accompanied by an increase in its accessibility. In other words, the abundance of video data makes it increasingly difficult for users to manage and navigate their video collections. In this paper, we first review the existing methodologies and technologies in video content analysis by addressing the trends and opportunities in consumer video content navigation and analysis. We then introduce a novel video content analysis framework using video time density function (VTDF) to tackle the problems in consumer video processing.