Paper Info
Title
Action movies segmentation and summarization based on tempo analysis
Abstract
With the advances of digital video analysis and storage technologies, also the progress of entertainment industry, movie viewers hope to gain more control over what they see. Therefore, tools that enable movie content analysis are important for accessing, retrieving, and browsing information close to a human perceptive and semantic level. We proposed an action movie segmentation and summarization framework based on movie tempo, which represents as the delivery speed of important segments of a movie. In the tempo-based system, we combine techniques of the film domain related knowledge (film grammar), shot change detection, motion activity analysis, and semantic context detection based on audio features to grasp the concept of tempo for story unit extraction, and then build a system for action movies segmentation and summarization. We conduct some experiments on several different action movie sequences, and demonstrate an analysis and comparison according to the satisfactory experimental results
Year
DOI
Venue
2004
10.1145/1026711.1026752
Multimedia Information Retrieval
Keywords
Field
DocType
action movie segmentation,tempo analysis,film grammar,movie viewer,digital video analysis,action movies segmentation,motion activity analysis,movie tempo,film domain,movie content analysis,different action movie sequence,content analysis,change detection,human perception
Digital video,Automatic summarization,Entertainment industry,Content analysis,Change detection,GRASP,Information retrieval,Computer science,Segmentation,Film grammar
Conference
ISBN
Citations 
PageRank 
1-58113-940-3
33
1.49
References 
Authors
3
4
Name
Order
Citations
PageRank
Hsuan-Wei Chen1342.21
Jin-hau Kuo211610.87
Wei-ta Chu361156.68
Ja-ling Wu41569168.11