Video mining using combinations of unsupervised and supervised learning techniques

We discuss the meaning and significance of the video mining problem, and present our work on some aspects of video mining. A simple definition of video mining is unsupervised discovery of patterns in audio-visual content. Such purely unsupervised discovery is readily applicable to video surveillance as well as to consumer video browsing applications. We interpret video mining as content-adaptive or blind content processing, in which the first stage is content characteri

• Type: Conference
• Year: 2004
• Where: SPIESR
• Authors: Ajay Divakaran, Koji Miyahara, Kadir A. Peker, Regunathan Radhakrishnan, Ziyou Xiong
• Keywords: Database, SPIESR 2004, Unsupervised Discovery, Video Mining, Video Mining Problem