Dr. Yang Jiang

PhD in Digital Media

Lecturer of Creative Media Technology

Yang Jiang received her PhD degree from the School of Computing, Informatics and Media, at University of Bradford. Her  teaching interests lay in the area of Creative Media Technology  - especially 3D visualization and multimedia. She joined the Computer Engineering subject area in 2011.

Yang Jiang - about her research interests

My current research is focused on developing intelligent digital media processing algorithms, via exploring the boundaries across computing, media, digital entertainment, artificial intelligence, and image processing. This research programme is essentially designed to bridge the gap currently existing between technology and media. As I have the background and strong experiences across both disciplines, I feel extremely confident to produce high quality research as well as developments.

At present, I have completed two major research themes and developed a range of algorithms. One is introducing a so-called one class SVM (support vector machine) to detect interactive points with computer games and add intelligence to the interaction process, and the other is to design a decision tree to extract potential interactive scenes or areas within snooker videos and extract a range of designated semantics for high level video editing and computer gaming. As a result, a number of research papers have been generated and successfully published in known conferences and journals, one of which received the best student paper award in an international conference in Singapore.

In addition, I have also completed some initial research towards facial analysis, detection and recognition inside videos, where I introduced a new concept of machine learning 3D model for capturing facial regions within different poses. Via case-based reasoning, a 3D facial model can be established by capturing the continuous sequence of faces and registering with the templates of prepared 3D models. As a result, pose detection could be eliminated from the process of face recognition without compromise on detection and recognition performances.

Publications:

• Yang Jiang, Jianmin Jiang, and Ian Palmer ‘A SVM based AI design for interactive gaming’, International Conference on Computer Gaming and Relevant Technologies, Singapore, April 28~30, 2008 (best paper award);
• Yang Jiang, Jianmin Jiang and I.J. Palmer ‘Computerised Interactive Gaming via Supporting Vector Machines’, Hindawi Publishing Corporation, International Journal of Computer Games Technology, Volume 2008, Article ID 186941, ISSN:1687-7047, 2008;
• Yang Jiang, Jianmin Jiang and Ian Palmer ‘A Decision Tree Approach for Scene Pattern Recognition and Extraction in Snooker Videos’, Lecture Notes in Computer Science, Springer Berlin / Heidelberg; ISSN: 0302-9743 (Print) 1611-3349 (Online); Volume 5627, 2009, PP947-954;
• Yang Jiang, Jianmin Jiang and Paolo Capodieci. ‘A SVM-based behavior monitoring algorithm towards detection of un-desired events in critical infrastructures’, Lecture Notes in Computer Science, SPRINGER, Vol 63, PP61-68, 2009, ISSN: 1615-3871;
• Yang Jiang, Jianmin Jiang. ‘Algorithm Development towards Intelligent Analysis and Interpretation of Digital Media Content’, Proceeding of IEEE 18th International Electrotechnical and Computer Science Conference, Slovenia, September 21~23, 2009;
• Xiao G., Jiang Y., Song G. and Jiang J. 'Support-vector-machine tree-based domain knowledge learning towards automated sports video classification', Optical Engineering, Vol 49, No 127003-127003-6, December, 2010.