Scene Determination Based on Video and Audio Features

被引：0

作者：

Silvia Pfeiffer

Rainer Lienhart

Wolfgang Efflsberg

机构：

[1] CSIRO Mathematical and Information Sciences,Praktische Informatik IV

[2] Intel Microprocessor Research Labs,undefined

[3] University of Mannheim,undefined

来源：

Multimedia Tools and Applications | 2001年 / 15卷

关键词：

shot clustering; content-based video analysis; audio-based video analysis; dialog detection; scene detection;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Determining automatically what constitutes a scene in a video is a challenging task, particularly since there is no precise definition of the term “scene”. It is left to the individual to set attributes shared by consecutive shots which group them into scenes. Certain basic attributes such as dialogs, settings and continuing sounds are consistent indicators. We have therefore developed a scheme for identifying scenes which clusters shots according to detected dialogs, settings and similar audio. Results from experiments show automatic identification of these types of scenes to be reliable.

引用

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页码：59 / 81

页数：22

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