This book discusses the evolving designs and applications of multimedia content delivery and focuses on computing-based methods. It offers readers an in-depth understanding of how computational resources at both the source and the destination of the networking continuum can be exploited. This enhances the overall performance of multimedia data networking.

This book also presents novel designs and applications focusing on information delivery based on computing. It starts with an overview of the multimedia computational communications as well as spanning topics. The topics range in experience evaluation using electroencephalography, semantic knowledge bases with the next generation of multiple access, end-to-end semantic communication framework and cloud-edge-end intelligent coordination computing. The authors believe this book offers readers a clear picture of the current state and the next steps in multimedia computational communication networks.

Graduate students majoring in the areas of communication networks, computer science and engineering and electrical engineering will find this book useful as a secondary text or reference book. Professionals and researchers working in computational transmission solutions for multimedia communication networks will find this book to be a valuable resource as well.

About the Author

Xiaoming Tao is currently a Full Professor with the Department of Electronic Engineering, Tsinghua University. Her research focuses on semantic coding and computing communications for multimedia. In the related areas, she has published over 60 journals and conference papers in addition to over 40 granted patents. She was a recipient of the National Science Foundation for Outstanding Youth from 2017 to 2019 and many national awards, such as the 2017 China Young Women Scientists Award, the 2017 Top Ten Outstanding Scientists and Technologists from the China Institute of Electronics, the 2017 First Prize of the Wu Wen Jun A. I. Science and Technology Award, the 2016 National Award for Technological Invention Progress, and the 2015 Science and Technology Award of the China Institute of Communications. She served as the Workshop General Co-Chair for the IEEE INFOCOM 2015, the Organization Co-Chair for the IEEE ICCI*CC 2015/2020, and the Volunteer Leader for IEEE ICIP 2017. She is currently an Editor of IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, China Communications, and Pattern Recognition, and the Scientific Editor of Chinese Journal of Electronics.

Yiping Duan received the Ph.D. degree from the School of Computer Science and Technology, Xidian University, Xi’an, China, in 2016. She is currently an Associate Research Fellow with the Department of Electronic Engineering, Tsinghua University. Her current research interests include multimedia communications, video codecs, and multimedia signal processing.

Zhijin Qin is currently an Associate Professor with the Department of Electronic Engineering, Tsinghua University, Beijing, China. She was with Imperial College London, Lancaster University, and Queen Mary University of London, UK, from 2016 to 2022. Her research interests include semantic communications and sparse signal processing. She was a recipient of several awards, such as the 2017 IEEE GLOBECOM Best Paper Award, the 2018 IEEE Signal Processing Society (SPS) Young Author Best Paper Award, the 2021 IEEE Communications Society (ComSoc) Signal Processing for Communications Committee Early Achievement Award, the 2022 IEEE Communications Society Fred W. Ellersick Prize, the 2023 IEEE ICC Best Paper Award, the 2023 IEEE ComSoc SPCC Best Paper Award, and the 2023 IEEE SPS Best Paper Award. She served as a Guest Editor for IEEE Journal on Selected Areas in Communications (JSAC) Special Issue on Semantic Communications and an Area Editor for IEEE Journal on Selected Areas in Communications Series. She also served as the Symposium Co-Chair for IEEE GLOBECOM 2020 and 2021. She is serving as an Associate Editor for IEEE Transactions on Communications and IEEE Transactions on Cognitive Networking, as well as the Area Editor of IEEE Communications Letters.

Danlan Huang received the Ph.D. degree from Tsinghua University, Beijing, China, in 2020. Since 2022, she has been with the School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing, China. Her research interests include semantic coding for multimedia communications, semantic communications, and computer vision. She won the fellowship of China National Postdoctoral Program for Innovative Talents in 2020.

Liting Wang received her Ph.D. degree from Tsinghua University, Beijing, China. She is currently a Lecturer at Tsinghua University, Beijing, China. Her research interest is the pattern recognition, signal processing, and edge computing.

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