Movie Highlight Detection using Structured Output Learning

Autor: Hsu Hao Chen, 許浩禎
Rok vydání: 2013
Druh dokumentu: 學位論文 ; thesis
Popis: 101
In multimedia content analysis research, early detection of temporal events from sequential data has been a popular topic. For example, there exist many potential applications from highlight review in first person perspective to video security. This thesis presents an early highlight detection system for movies. The proposed method is based on Structured Output SVM(SOSVM). Unlike conventional SVMs,SOSVM provides structured output, which is more suitable for a highlight detection task. Among many genres of movies, we conducted experiments on action movies. The experimental results show the developed system can be used to automatically identify highlight scene segments with high confident scores.
Databáze: Networked Digital Library of Theses & Dissertations