Digital video fingerprinting

Video fingerprinting or video hashing are a class of dimension reduction techniques[1] in which a system identifies, extracts and then summarizes characteristic components of a video as a unique or a set of multiple perceptual hashes or fingerprints, enabling that video to be uniquely identified. This technology has proven to be effective at searching and comparing video files.[2][3]

  1. ^ Wu, Gengshen; Liu, Li; Guo, Yuchen; Ding, Guiguang; Han, Jungong; Shen, Jialie; Shao, Ling (August 2017). "Unsupervised Deep Video Hashing with Balanced Rotation" (PDF). Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence. pp. 3076–3082. doi:10.24963/ijcai.2017/429. ISBN 9780999241103. Retrieved 9 November 2022.
  2. ^ Liong, Venice Erin; Lu, Jiwen; Tan, Yap-Peng; Zhou, Jie (June 2017). "Deep Video Hashing" (PDF). IEEE Transactions on Multimedia. 19 (+6): 1209–1219. doi:10.1109/TMM.2016.2645404. S2CID 4666560. Retrieved 9 November 2022.
  3. ^ Song, Jingkuan; Zhang, Hanwang; Li, Xiangpeng; Gao, Lianli; Wang, Meng; Hong, Richang (2018). "Self-Supervised Video Hashing with Hierarchical Binary Auto-Encoder". IEEE Transactions on Image Processing. 27 (7): 3210–3221. arXiv:1802.02305. Bibcode:2018ITIP...27.3210S. doi:10.1109/TIP.2018.2814344. PMID 29641401. S2CID 3633912.