SegRewardGraph: unsupervised teaching video story segmentation method based on subtitle length-rewarding strategy and semantic relatedness graphs

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成果类型：

期刊论文

作者：

Liu, Zhi;Chen, Hao;Kong, Xi;Wen, Chaodong;Chen, Jia;...

通讯作者：

Kong, X

作者机构：

[Yang, Zongkai; Liu, Sannyuya; Liu, Zhi] Cent China Normal Univ, Natl Engn Res Ctr Elearning, Wuhan 430079, Hubei, Peoples R China.

[Yang, Zongkai; Liu, Sannyuya; Kong, Xi; Liu, Zhi; Kong, X; Wen, Chaodong; Chen, Hao] Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Hubei, Peoples R China.

[Chen, Jia] Cent China Normal Univ, Fac Artificial Intelligence Educ, Sch Educ Informat Technol, Wuhan 430079, Hubei, Peoples R China.

通讯机构：

[Kong, X ] C

Cent China Normal Univ, Natl Engn Lab Educ Big Data, Wuhan 430079, Hubei, Peoples R China.

语种：

英文

关键词：

Story segmentation;Teaching video segmentation;Subtitle length-rewarding strategy;Semantic relatedness graph;Natural language processing

期刊：

Multimedia Tools and Applications

ISSN：

1380-7501

年：

2023

卷：

期：

页码：

52509-52534

DOI：

10.1007/s11042-023-17523-y

基金类别：

This work was supported by the National Natural Science Foundation of China (Grant Nos.62377016, 62077017, 61977030,61937001), Hubei Provincial Natural Science Foundation (NO.2021CFB539), the Fundamental Research Funds of the Central Universities (Grant No [62377016, 62077017, 61977030,61937001]; National Natural Science Foundation of China [2021CFB539]; Hubei Provincial Natural Science Foundation [CCNU22QN011, CCNU22LJ005]; Fundamental Research Funds of the Central Universities [30106230468]; Innovation Funds in Graduate Education of Central China Normal University

机构署名：

本校为第一且通讯机构

院系归属：

教育信息技术学院

摘要：

Story segmentation plays an important role in helping students quickly locate key knowledge points within massive and fragmented teaching video resources. It also serves as the basis for accurate searching of valuable teaching video clips. While keyframe-based story segmentation has achieved remarkable results in news videos, achieving accurate story segmentation in teaching videos is challenging. Therefore, we propose an unsupervised teaching video story segmentation method called SegRewardGraph, which utilizes a subtitle length-rewarding strategy and semantic relatedness graphs. SegRewardGra...

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SegRewardGraph: unsupervised teaching video story segmentation method based on subtitle length-rewarding strategy and semantic relatedness graphs

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