Journal Article

Protection and Analysis of Intangible Cultural Heritage Videos Based on Keyframe Extraction and Adaptive Weight Assignment

Hou, Qingbin

2025

Overview

To preserve the intangible cultural heritage digitally and effectively manage and analyze the intangible cultural heritage video data, the research creatively employs target recognition algorithms and keyframe extraction to perform video extraction and analysis. The keyframe extraction and target detection model is constructed with the help of shot boundary detection, feature pyramid network, and attention mechanism. The experimental results revealed that the designed keyframe extraction model outperformed all the other methods, achieving an accuracy rate of 0.996, a recall rate of 0.984, and an F1 score of 0.936 on the dataset used in the study. This model’s average keyframe redundancy was 0.02, and the missed and false detection rates were both below 0.25. This indicated a strong ability to recognize key content in videos. Meanwhile, the model’s performance changed little under the test with the addition of random noise perturbation, demonstrating good robustness and generalization ability. The detection error converged to the minimum value of 0.126, and the highest value of prediction box generation accuracy could reach 0.834, which was 41.57% improved. In the video processing of intangible cultural heritage, the missing rate and false positive rate of the target object were at the lowest level as low as 0.20. Through keyframe extraction and target detection, the study realizes the effective protection and analysis of intangible cultural heritage cultural videos, and promotes the inheritance and dissemination of intangible cultural heritage.

• Publisher: Public Library of Science,Public Library of Science (PLoS)
• Subject: Accuracy / Algorithms / Analysis / Biology and Life Sciences / Coding standards / Computer and Information Sciences / Cultural heritage / Cultural property, Protection of / Cultural resources / Culture / Design / Efficiency / Engineering and Technology / Error detection / Humans / Image processing / Image Processing, Computer-Assisted - methods / Localization / Methods / Neural networks / Pattern Recognition, Automated - methods / Physical Sciences / Protection and preservation / Random noise / Redundancy / Research and Analysis Methods / Semantics / Social Sciences / Surveillance / Target detection / Target recognition / Video data / Video Recording - methods