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http://dx.doi.org/10.7471/ikeee.2020.24.3.743

A Study on Fingerprinting Robustness Indicators for Immersive 360-degree Video  

Kim, Youngmo (Dept. of Computer Science and Engineering, Soongsil University)
Park, Byeongchan (Dept. of Computer Science and Engineering, Soongsil University)
Jang, Seyoung (Dept. of Computer Science and Engineering, Soongsil University)
Yoo, Injae (Research Institute, Beyondtech Inc.)
Lee, Jaechung (Research Institute, Beyondtech Inc.)
Kim, Seok-Yoon (Dept. of Computer Science and Engineering, Soongsil University)
Publication Information
Journal of IKEEE / v.24, no.3, 2020 , pp. 743-753 More about this Journal
Abstract
In this paper, we propose a set of robustness indicators for immersive 360-degree video. With the full-fledged service of mobile carriers' 5G networks, it is possible to use large-capacity, immersive 360-degree videos at high speed anytime, anywhere. Since it can be illegally distributed in web-hard and torrents through DRM dismantling and various video modifications, however, evaluation indicators that can objectively evaluate the filtering performance for copyright protection are required. In this paper, a robustness indicators is proposed that applies the existing 2D Video robustness indicators and considers the projection method and reproduction method, which are the characteristics of Immersive 360-degree Video. The performance evaluation experiment has been carried out for a sample filtering system and it is verified that an excellent recognition rate of 95% or more has been achieved in about 3 second execution time.
Keywords
Immersive 360-degree Content; Copyright Protection; Filtering; Robustness Indicators; Performance Evaluation;
Citations & Related Records
Times Cited By KSCI : 8  (Citation Analysis)
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