王波

Professor   Supervisor of Doctorate Candidates   Supervisor of Master's Candidates

Main positions:Professor

Gender:Male

Alma Mater:Dalian University of Technology

Degree:Doctoral Degree

School/Department:School of Information and Communication Engineering

Discipline:Signal and Information Processing

Business Address:A512, Haishan Building

Contact Information:bowang@dlut.edu.cn

E-Mail:bowang@dlut.edu.cn


Paper Publications

Cross-class and inter-class alignment based camera source identification for re-compression images

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Indexed by:会议论文

Date of Publication:2017-09-13

Included Journals:EI

Volume:10668 LNCS

Page Number:563-574

Abstract:With the sophisticated machine learning technology developing the state of art of model based camera source identification has achieved a high level of accuracy in the case of matching identification, which means the feature vectors of training and test sets follow the same statistical distribution. For a more practical scenario, identifying the camera source of an image transmitted via social media applications and internet is a much more interesting and challenging work. Undergoing serials of manipulations, re-compression for instance, the feature vectors of training and test sets mismatch, thus decreasing the identification accuracy. In this paper, cross-class and inter-class alignment based algorithms, inspired by transfer learning, are proposed to minimize the distribution difference between the training and the test sets. Experiments on four cameras with five image quality factors indicate that the proposed cross-class, inter-class alignment based algorithms and their combination outperform the existing LBP method, and presents high identification accuracies in re-compression images. © Springer International Publishing AG 2017.

Pre One:Design of Compact Single-Layer Textile MIMO Antenna for Wearable Applications

Next One:Complexity based sample selection for camera source identification

Profile

I am not a star professor, but I am working on the road to a star professor of tomorrow. For this reason, self-motivated graduate students are desired to my research group. Self-motivated attitude and initiative are the most important characteristics in our laboratory. Students with preliminary knowledge on signal (image/video) processing and programming skills are most welcome. For your academic trip in my group, I will devote myself to training your FIVE abilities: Intellectual skills, Communication skills, Personality characteristics, Habit of work, Mechanical skills, which are considered as the most important abilities of a graduated student.

http://ice.dlut.edu.cn/WangBo/index.html