Vivienne Sze is an American electrical engineer and computer scientist whose research focuses on low-power electronics and on the trade-offs between energy use and computing power in the combined design of software and hardware, for applications including video coding and deep neural networks. [1] [2] [3] She is an associate professor in the Massachusetts Institute of Technology (MIT) Department of Electrical Engineering and Computer Science, where she heads the Energy-Efficient Multimedia Systems Group. [1] [4]
Sze did her undergraduate studies in electrical engineering at the University of Toronto, graduating in 2004. [5] She was a student of Anantha P. Chandrakasan at MIT, [1] where she earned a master's degree in 2006 and completed her Ph.D. in 2010; her doctoral research won MIT's Jin-Au Kong Outstanding Doctoral Thesis Prize in electrical engineering. [5]
After completing her doctorate, she worked on video coding at Texas Instruments. [1] She became a member of the Joint Collaborative Team on Video Coding (JCT-VC), which developed the standard for High Efficiency Video Coding (HEVC). After completing her work on HEVC, [6] she returned to MIT as a faculty member in 2013. [7]
With Madhukar Budagavi and Gary J. Sullivan, Sze edited the book High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014). With Yu-Hsin Chen, Tien-Ju Yang, and Joel S. Emer, she is a coauthor of Efficient Processing of Deep Neural Networks (Morgan & Claypool, 2020).
As part of the JCT-VC, Sze and her collaborators won a 2017 Primetime Engineering Emmy Award for their work on HEVC. [6] In 2020 she became the inaugural winner of the Rising Star Award of ACM-W, the Council on Women in Computing of the Association for Computing Machinery. [7]
The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, claiming nearly 100,000 student and professional members as of 2019. Its headquarters are in New York City.
The Video Coding Experts Group or Visual Coding Experts Group is a working group of the ITU Telecommunication Standardization Sector (ITU-T) concerned with video coding standards. It is responsible for standardization of the "H.26x" line of video coding standards, the "T.8xx" line of image coding standards, and related technologies.
Thomas Wiegand is a German electrical engineer who substantially contributed to the creation of the H.264/AVC, H.265/HEVC, and H.266/VVC video coding standards. For H.264/AVC, Wiegand was one of the chairmen of the Joint Video Team (JVT) standardization committee that created the standard and was the chief editor of the standard itself. He was also an active technical contributor to both standards. Wiegand also holds a chairmanship position in the ITU-T VCEG of ITU-T Study Group 16 and previously in ISO/IEC MPEG standardization organizations. In July 2006, the video coding work of the ITU-T jointly led by Gary J. Sullivan and Wiegand for the preceding six years was voted as the most influential area of the standardization work of the CCITT and ITU-T in their 50-year history.
Gary Joseph Sullivan is an American electrical engineer who led the development of the AVC, HEVC, and VVC video coding standards and created the DirectX Video Acceleration (DXVA) API/DDI video decoding feature of the Microsoft Windows operating system.
High Efficiency Video Coding (HEVC), also known as H.265 and MPEG-H Part 2, is a video compression standard designed as part of the MPEG-H project as a successor to the widely used Advanced Video Coding. In comparison to AVC, HEVC offers from 25% to 50% better data compression at the same level of video quality, or substantially improved video quality at the same bit rate. It supports resolutions up to 8192×4320, including 8K UHD, and unlike the primarily 8-bit AVC, HEVC's higher fidelity Main 10 profile has been incorporated into nearly all supporting hardware.
Zhang Hongjiang is a Chinese computer scientist and executive. He served as CEO of Kingsoft, managing director of Microsoft Advanced Technology Center (ATC) and chief technology officer (CTO) of Microsoft China Research and Development Group (CRD). In 2022, he was elected to the National Academy of Engineering for his technical contributions and leadership in the area of multimedia computing.
Jonathan Andrew Crowcroft is the Marconi Professor of Communications Systems in the Department of Computer Science and Technology, University of Cambridge and the chair of the programme committee at the Alan Turing Institute.
x265 is a software codec for creating digital video streams in the High Efficiency Video Coding (HEVC/H.265) video compression format developed by the Joint Collaborative Team on Video Coding (JCT-VC). It is available as a command-line app or a software library, under the terms of GNU General Public License (GPL) version 2 or later; however, customers may request a commercial license.
Dina Katabi is the Andrew and Erna Viterbi Professor of Electrical Engineering and Computer Science at MIT and the director of the MIT Wireless Center.
Coding tree unit (CTU) is the basic processing unit of the High Efficiency Video Coding (HEVC) video standard and conceptually corresponds in structure to macroblock units that were used in several previous video standards. CTU is also referred to as largest coding unit (LCU).
Margaret Martonosi is an American computer scientist who is currently the Hugh Trumbull Adams '35 Professor of Computer Science at Princeton University. Martonosi is noted for her research in computer architecture and mobile computing with a particular focus on power-efficiency.
High Efficiency Video Coding implementations and products covers the implementations and products of High Efficiency Video Coding (HEVC).
Ruby Bei-Loh Lee is an American electrical engineer who is currently the Forrest G. Hamrick Professor in Engineering and Professor of Electrical and Computer Engineering at Princeton University. Her contributions to computer architecture include work in reduced instruction set computing, embedded systems, and hardware support for computer security and digital media. At Princeton, she is the director of the Princeton Architecture Laboratory for Multimedia and Security. Tech executive Joel S. Birnbaum has called her "one of the top instruction-set architects in the world".
Klara Nahrstedt is the Ralph and Catherine Fisher Professor of Computer Science at the University of Illinois at Urbana–Champaign, and directs the Coordinated Science Laboratory there. Her research concerns multimedia, quality of service, and middleware.
Diana Marculescu is the Department Chair and Motorola Regents Chair in Electrical and Computer Engineering #2 at the University of Texas at Austin. She was formerly the David Edward Schramm Professor of Electrical and Computer Engineering at Carnegie Mellon University. She is the first female chair in the department's history.
David Atienza Alonso is a Spanish/Swiss scientist in the disciplines of computer and electrical engineering. His research focuses on hardware‐software co‐design and management for energy‐efficient and thermal-aware computing systems, always starting from a system‐level perspective to the actual electronic design. He is a full professor of electrical and computer engineering at the Swiss Federal Institute of Technology in Lausanne (EPFL) and the head of the Embedded Systems Laboratory (ESL). He is an IEEE Fellow (2016), and an ACM Distinguished Member (2017).
Wendi Beth Rabiner Heinzelman is an American electrical engineer and computer scientist specializing in wireless networks, cloud computing, and multimedia. She is dean of the Hajim School of Engineering and Applied Sciences at the University of Rochester, and the former dean of graduate studies for arts, sciences, and engineering at Rochester.
Shih-Fu Chang is a Taiwanese American computer scientist and electrical engineer noted for his research on multimedia information retrieval, computer vision, machine learning, and signal processing. He is currently the dean of the School of Engineering and Applied Science of Columbia University, where he is also the Richard Dicker Professor. He served as the chair of the Special Interest Group of Multimedia (SIGMM) of Association of Computing Machinery (ACM) from 2013 to 2017. He was ranked as the Most Influential Scholar in the field of Multimedia by Aminer in 2016. He was elected as an ACM Fellow in 2017.
Xiaobo Sharon Hu is a Chinese-American computer scientist and engineer known for her work on hardware-software integration, power usage, and reliability of embedded systems design, including work on power- and temperature-aware scheduling algorithms. She has also published highly cited work on deep neural networks, the CORDIC algorithm for trigonometric calculations, and clocking of unconventional computer architectures. She is a professor in the Department of Computer Science and Engineering at the University of Notre Dame.
Chelsea Finn is an American computer scientist and assistant professor at Stanford University. Her research investigates intelligence through the interactions of robots, with the hope to create robotic systems that can learn how to learn. She is part of the Google Brain group.