Pingdingshan University, Pingdingshan 467000, China.
J Environ Public Health. 2022 Oct 5;2022:9640574. doi: 10.1155/2022/9640574. eCollection 2022.
Short videos have quickly taken over the mobile screens of network users and established themselves as one of the most significant social platforms in the "Internet+era" as a new carrier of social culture. Short films have the qualities of high participation, strong engagement, high real-time, and quick propagation, which satisfy the needs of Internet users in interpersonal communication and reading or enjoyment in leisure time. This is against the backdrop of network big data environment monitoring. Based on this, the paper defines the fair use system of short video copyright, elaborates on its concept, examines the system's challenges and potential fixes in the context of networks, and develops a model for short video repeat detection using local key points. According to the experimental findings, this algorithm's short video repetition detection accuracy rate can reach 95.8%, and its recall rate can reach 94.5%. For the development of the fair use system of short video copyright in the current network environment, the video in some complex scenes can achieve good detection performance, which establishes a good data analysis foundation and provides a significant amount of assistance for the system to escape its predicament.
短视频迅速占领了网络用户的手机屏幕，成为“互联网+”时代社会文化的重要载体之一。短视频具有高参与度、强互动性、高实时性和快速传播性的特点，满足了互联网用户在人际交往和阅读或休闲时间享受的需求。这是在网络大数据环境监测的背景下进行的。基于此，本文定义了短视频版权的合理使用制度，阐述了其概念，考察了该制度在网络环境下所面临的挑战和潜在的解决方案，并建立了一种基于局部关键点的短视频重复检测模型。根据实验结果，该算法的短视频重复检测准确率可达 95.8%，召回率可达 94.5%。对于当前网络环境下短视频版权合理使用制度的发展，该算法可以对一些复杂场景下的视频实现良好的检测性能，为系统摆脱困境奠定了良好的数据分析基础，提供了大量的支持。
