期刊论文

Kong, X

英文

Multimedia Tools and Applications

1380-7501

2023

1-26

10.1007/s11042-023-17523-y

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

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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...