Action Movies Segmentation and Summarization Based on Tempo Analysis
Date Issued
2004
Date
2004
Author(s)
Chen, Hsuan-Wei
DOI
en-US
Abstract
With the advance of digital video analysis and storage technologies, also in the filed of entertainment industry, movie viewers hope to gain more control over what they see. For example, we expect interactivity in films produced for DVD and online entertainment-on-demand systems. Therefore, tools that enable automated movie analysis are becoming indispensable to efficiently access, retrieve, and browse information closed to a human perceptive and semantic level. We proposed an action movie segmentation and summarization system based on tempo, which is regarded as the delivery speed of important segments of a movie. In this tempo-based system, we combine the techniques of shot change detection, motion activity analysis, semantic context detection based on audio features, and the film domain knowledge (film grammar) to perform the concept of tempo and construct the system for action movies segmentation and summarization. Then we do experiments on several different action movie sequences, and give an analysis and comparison according to the experimental results.
Subjects
媒體內涵處理
電影分割
電影摘要
節奏分析
計算美學
Movie segmentation
Movie summarization
Computational media aesthetics
Content-based media processing
Tempo analysis
Film grammar
Type
thesis