1. 제 목 : Overview of digital image/video/audio compression/coding. Present status and future directions.

2. 발 표 자 : K. R. Rao (Department of Electrical Engineering, University of Texas at Arlington)    IEEE Fellow

3. 일 시 : 2011년 3월 17일(목) 15:00 ~ 17:00

4. 장 소 : IT대학 1호관 318호

5. 초청교수 : 하영호 교수

6. 강사약력 :

(학 력)

K. R. Rao received the Ph. D. degree in electrical engineering from The University of New Mexico, Albuquerque in 1966.

                  (경 력)

Since 1966, he has been with the University of Texas at Arlington where he is currently a professor of electrical engineering. He, along with two other researchers, introduced the Discrete Cosine Transform(DCT) in 1975 which has since become very popular in digital signal processing. He has coedited a handbook "The transform and data compression handbook"(CRC Press, 2001). Digital video image quality and perceptual coding, (with H.R. Wu),Taylor and Francis (2006). He has published Introduction to multimedia communications: applications, middleware, networking, (with Z.S. Bojkovic and D.A. Milovanovic), Wiley, (2006) and "Discrete cosine and sine transforms" (with Vladimir Britanak and Patrick Yip) - Elsevier, 2007. Wireless Multimedia Communication (with Z. Bojkovic and D.A. Milovanovic) has been published by Taylor/Francis (2008). Book on FFT (with D. Kim and J.J. Hwang) was published by Springer, 2009. Some of his books have been translated into Japanese, Chinese, Korean and Russian and also published as Asian (paperback) editions. He has published extensively in refereed journals and has been a consultant to industry, research institutes, law firms and academia. He is a Fellow of the IEEE. He is a member of the Academy of Distinguished Scholars, UTA.

7. 내용요약 :

Based on a human visual system (HVS) based approach, digital video image quality and perceptual coding (DVIQPC) outlines the principles, metrics an standards associated with perceptual coding as well as the latest techniques and applications. It discusses the latest developments in vision research as they relate to HVS based video and image coding. It discusses subjective and objective assessment methods, quantitative quality metrics including vision model based digital video impairment metrics, test criteria and procedures. It examines post-filtering and reconstruction issues associated with color bleeding, blocking, ringing and temporal fluctuation artifacts in detail along with methods to reduce/eliminate them. It also focuses on picture quality assessment criteria. It poses new challenges to vision research and/or how to transfer vision science to imaging and visual communication systems engineering.

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