J
Jun Tian
Researcher at Tianjin University
Publications - 38
Citations - 849
Jun Tian is an academic researcher from Tianjin University. The author has contributed to research in topics: Signal & Digital watermarking. The author has an hindex of 15, co-authored 38 publications receiving 835 citations. Previous affiliations of Jun Tian include Pitney Bowes.
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Patent
Authenticating printed objects using digital watermarks associated with multidimensional quality metrics
Claude Zeller,Donald G. Mackay,William Kilmartin,Robert A. Cordery,William A. Brosseau,Hugh L. Brunk,Stephen K. Decker,Jun Tian +7 more
TL;DR: In this paper, the authors describe an authentication system and related methods for authenticating printed objects using an information-based metric along with one or more print quality metrics to provide accurate detection or classification of a counterfeit printed object.
Patent
Content authentication and recovery using digital watermarks
TL;DR: In this article, the authors describe methods for using digital watermarking to authenticate digital media signals, such as images, audio and video signals, and also describe techniques for using embedded watermarks to repair altered parts of a media signal when alteration is detected.
Patent
Digital authentication with digital and analog documents
TL;DR: In this article, a watermark decoder transforms a suspect signal into the frequency domain regions, extracts the watermark message from a first frequency domain region and compares it with a reference derived from another frequency domain Region.
Patent
Measuring quality of service of broadcast multimedia signals using digital watermark analyses
TL;DR: In this paper, the authors proposed a method of measuring the quality of broadcast media signals by analyzing digital watermarks embedded in the received broadcast signal, which can be used to measure quality of service of broadcast signals such as audio and video.
Patent
Method and apparatus for setting a detection threshold given a desired false probability
TL;DR: In this article, a method and apparatus are described for determining a threshold, including selecting a desired false result probability, and selecting a threshold value from a threshold table corresponding to the desired false results.