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卫健学术沙龙:基于5G+人工智能的心理/精神健康服务与管理体系建设
Gauging spacetime inversions
AI合成化学前沿与战略研讨会暨国家智能化学数据中心启动会
Macro to micro- and nano-scale fluidic engineering for analytical chemistry
报告题目:
“清华信息大讲堂”第十五讲:Ubiquitous Multimedia Computing and Communication:
 报告人:
Professor C.-C. Jay Kuo
报告时间:
2006-11-15 10:30
报告地点:
信息大楼(FIT)1-312
主办单位:
信息学院
  简介:

报告摘要:

With recent flourishing of embedded media applications such as MPEG-2, H.264 and VC-1 encoders/decoders and wireless broadband communication infrastructures such as 3G, WiMax and Wi-Fi, real-time multimedia computing and communications on embedded systems becomes a major focus for both software and hardware designers. In the first part of the talk, the tradeoff between several design choices is analyzed, including the RISC processor, the SIMD processor and the dedicated ASIC. Then, in the second half of the talk, three emerging R&D efforts will be highlighted. First, the design of a multi-format video codec to strike a balance between flexibility and performance is addressed. This is motivated by the observation that there are multiple audio/video compression formats to be adopted currently. The trend of embedded processors is to support a wide range of audio/video formats such as MPEG-2, H.264 and VC-1. The design of multi-format codec demands a careful architecture consideration. Second, we consider the design of low-complexity integrated encryption and compression speech/video coding algorithms, which can significantly lower the power consumption of mobile terminals for the digital rights management (DRM). This gives an example of lower power design from an algorithmic level. Third, the rate-distortion-complexity (RDC) optimized video coding techniques are discussed. We emphasize a concept called “decoding-friendly encoder design”, where many computational heavy operations can be saved at the decoder end while high visual quality can still be preserved.

 

报告人简介:

Dr. C.-C. Jay Kuo received the Ph.D. degrees from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of Signal and Image Processing Institute and Professor of EE, CS and Mathematics. His research interests are in the areas of digital media processing, multimedia compression, communication and networking technologies, and embedded multimedia system design. Dr. Kuo is a Fellow of IEEE and SPIE. He received the National Science Foundation Young Investigator Award (NYI) and Presidential Faculty Fellow (PFF) Award in 1992 and 1993, respectively.  Dr. Kuo has guided 70 students to their Ph.D. degrees and supervised 15 postdoctoral research fellows. Currently, his research group at USC consists around 40 Ph.D. students (see website http://viola.usc.edu), which is one of the largest academic research groups in multimedia technologies. He is a co-author of about 120 journal papers, 680 conference papers and 7 books.  Dr. Kuo is Editor-in-Chief for the Journal of Visual Communication and Image Representation, and Editor for the Journal of Information Science and Engineering and the RURASIP Journal of Applied Signal Processing. He was on the Editorial Board of the IEEE Signal Processing Magazine. He served as Associate Editor for IEEE Transactions on Image Processing, IEEE Transactions on Circuits and Systems for Video Technology and IEEE Transactions on Speech and Audio Processing 
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