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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.

Papers
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Patent

Authenticating printed objects using digital watermarks associated with multidimensional quality metrics

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

Jun Tian
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

Jun Tian
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.