Begin the trip in Mathematic Ocean

It is more than half a year since I graduated from USTC. In this section, I haven't done any research work, for I havn't gotten a proper chance. Yet, I don't think this is the real reason for my stop on my research work. Maybe, I am not proper to do research because of my own character.

Although I am always doing some works not needed mathematic very much, I am very intested in math, and want to learn more knowledge about math by myself. However, I didn't take this study into practice. I prefer to lend some books from library than to spend some time reading them. Sometimes, I just red the former chapter of them. More usually, I just leave them on my side.

In these recent moths, I am busy doing something I am not interested in. Although I am very busy, I think I did not have completed any work useful. I am even not doing any work related with my project. I have to calm myself down, so I will find some thing interesting to do. Reading mathematic books is the proper action. So, I plan to begin my trip on the mathematic ocean.

Seminar on Emerging Video Technology for Future Digital Entertainment

Speaker: Prof. Chang Wen Chen, University at Buffalo, State University of New York

Time: 3:30 pm – 4:30 pm

Date: 15 Dec 2008 (Mon) Venue: Lecture Theatre 9, NTU (Level 4, North Spine, NS4-4-39)

Abstract: This talk will present some technical challenges in high definition video coding and processing to meet the paradigm shifting trends for future digital entertainment for consumers. Traditional consumer video services have been in the broadcasting mode, from terrestrial TV, to satellite and cable services, in which a single encoder is able to serve millions of decoders. The design principle has been the simple decoder of volume sets at the expense of very complicated encoder. The proliferation of mobile devices with video capture capabilities in the recent years has resulted in a paradigm shift trends that require simple encoder for the mobile devices. The burden of the performance has now shifted to decoder that resides at consumer’s home to manage volumetric video captures with desktop computers. This paradigm shift thus created an opportunity for developing emerging video technology to meet the challenges in high performance video decoding for digital entertainment. In this talk, we will examine the bottleneck in the distributed video coding and offers some insight in future research directions. We will also present an example of new video coding schemes based on distributed source coding for the developing scalable schemes from progressive high definition TV from interlaced video. Finally, new perspectives will be offered for the next generation true ubiquitous mobile digital media entertainment.

Speaker Bio: Chang Wen Chen joined the University at Buffalo, State University of New York in January 2008 as Professor of Computer Science and Engineering. He has been Allen Henry Endow Chair Professor of Electrical and Computer Engineering at the Florida Institute of Technology since July 2003. He was on the faculty of Electrical Engineering Dept. at the University of Rochester from 1992 to 1996, on the faculty of Electrical and Computer Engineering Dept at the University of Missouri-Columbia from 1996 to 2003. He also served as the Head of Interactive Media Group at David Sarnoff Research Labs in Princeton from 2000 to 2002, managing multi-million dollar research projects in video coding and wireless video communications.

Currently, he is the Editor-in-Chief for IEEE Trans. Circuits and Systems for Video Technology. He has been an Editor for numerous IEEE Transactions and Journals. He has served as Conference Chair for several major IEEE and SPIE conferences related to mobile wireless video communications and signal processing. His current research interests include reliable and secure multimedia communications over mobile wireless channels; digital video coding, processing, analysis, and embedded implementation; medical image analysis and biomedical information processing; distributed source coding and digital signal processing for communications; and collaborative signal processing and data aggregation for sensor networks. His research is supported by NSF, DARPA, Air Force, NASA, Whitaker Foundation, and Kodak.

He received his BS from University of Science and Technology of China in 1983, MSEE from University of Southern California in 1986, and Ph.D. from University of Illinois at Urbana-Champaign in 1992. He was elected an IEEE Fellow for his contributions in digital image and video processing, analysis, and communications, and elected an SPIE Fellow for his contributions in electronic imaging and visual communications.

Mining Geotagged Photos for Semantic Understanding

Speaker: Dr. Jiebo Luo, IEEE Fellow, Senior Principal Scientist at the Kodak Research Laboratories.

Time: Monday 15 December 2008, 10:30 am - 11:30 am Venue: SCE Meeting Room

Abstract: Semantic understanding based only on vision cues has been a challenging problem. This problem is particularly acute when the application domain is unconstrained photos available on the Internet or in personal repositories. In recent years, it has been shown that metadata captured with pictures can provide valuable contextual cues complementary to the image content and can be used to improve classification performance. With the recent geotagging phenomenon, an important piece of metadata available with many geotagged pictures is GPS information. We will describe a number of novel ways to mine GPS information in a powerful contextual inference framework that boosts the accuracy of semantic understanding. With integrated GPS-capable cameras on the horizon and geotagging on the rise, this line of research will revolutionize event recognition and media annotation.

Speaker Bio: Jiebo Luo is a Senior Principal Scientist with the Kodak Research Laboratories in Rochester, NY. He received a B.S. degree in Electrical Engineering from the University of Science and Technology of China in 1989, and a Ph.D. degree in Electrical Engineering from the University of Rochester in 1995. His research interests include signal and image processing, pattern recognition, computer vision, and the related multi-disciplines such as multimedia mining, biomedical imaging, computational photography, and human-computer interaction. Dr. Luo has authored over 130 technical papers and holds nearly 50 granted US patents.

Dr. Luo actively participates in numerous technical conferences, including serving as the chair of the 2008 ACM International Conference on Content-based Image and Video Retrieval (CIVR), an area chair of the 2008 IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), a program co-chair of the 2007 SPIE International Symposium on Visual Communication and Image Processing (VCIP), a member of the Organizing Committee of the 2008 ACM Multimedia Conference, 2008/2006 IEEE International Conference on Multimedia and Expo (ICME) and 2002 IEEE International Conference on Image Processing (ICIP), and the founding chair of the International Workshop on Semantic Learning Application in Multimedia (SLAM). He is the Editor-in-Chief for the Journal of Multimedia (Academy Publisher). Currently, he is also on the editorial boards of the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), the IEEE Transactions on Multimedia (TMM), Pattern Recognition (PR), and Journal of Electronic Imaging (JEI). He is a guest editor for a number of influential special issues, including “Image Understanding for Digital Photos” (PR, 2005), “Real-World Image Annotation and Retrieval” (TPAMI, 2008), “Integration of Content and Context for Multimedia Management” (TMM, 2008), “Event Analysis in Video” (IEEE Transactions on Circuits and Systems for Video Technology, 2009), and “Probabilistic Graphic Models in Computer Vision” (TPAMI, 2009). Dr. Luo is an adjunct professor at Rochester Institute of Technology, as well as the co-advisor or thesis committee member of many PhD and MS graduate students in various universities. He is a Kodak Distinguished Inventor, a Fellow of SPIE for achievements in electronic imaging and visual communication, and a Fellow of IEEE for contributions to semantic image understanding and intelligent image processing.