Video segmentation using Hidden Markov Model with multimodal features

被引：0

作者：

Bae, TM ^{[1
]}

Jin, SH ^{[1
]}

Ro, YM ^{[1
]}

机构：

[1] ICU, IVY Lab, Taejon 305714, South Korea

来源：

IMAGE AND VIDEO RETRIEVAL, PROCEEDINGS | 2004年 / 3115卷

关键词：

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this paper, a video segmentation algorithm based on Hidden Markov Model classifier with multimodal feature is proposed. By using Hidden Markov Model classifier with both audio and visual features, erroneous shot boundary detection and over-segmentation were avoided compared with conventional algorithms. The experimental results show that the propose method is effective in shot detection.

引用

页码：401 / 409

页数：9

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