An Infringement Detection System for Videos based on Audio Fingerprint Technology
Yang Zheng; Jie Liu; Shuwu Zhang
2020-10
会议日期October 30-31, 2020
会议地点Beijing, China
国家中国
英文摘要

The system designs and implements a copyright detection system for videos based on audio fingerprint technology, which consists of two parts: the construction of the fingerprint dataset and the detection of infringing videos. In the audio fingerprint extraction algorithm, the audio fingerprint is constructed by using the peak point extraction method based on the auditory mechanism and the method of using the adjacent peak point pairs, which ensures that the fingerprint feature has a high differentiation and robustness. In the audio fingerprint retrieval algorithm, the stability and efficiency of fingerprint retrieval are ensured by using the combination of hash function and inverted indexing method and the method of flexible matching of fingerprints within a certain threshold range. The validity of the system method is proved by verification in two datasets.

源文献作者中国传媒大学,中国科学院自动化研究所
产权排序1
语种英语
内容类型会议论文
源URL[http://ir.ia.ac.cn/handle/173211/47526]  
专题数字内容技术与服务研究中心_新媒体服务与管理技术
通讯作者Yang Zheng
作者单位Institute of Automation, Chinese Academy of Sciences
推荐引用方式
GB/T 7714
Yang Zheng,Jie Liu,Shuwu Zhang. An Infringement Detection System for Videos based on Audio Fingerprint Technology[C]. 见:. Beijing, China. October 30-31, 2020.
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