Uncoded Multimedia Transmission

An uncoded multimedia transmission (UMT) system is one that skips quantization and entropy coding in compression and all subsequent binary operations, including channel coding and bit-to-symbol mapping of modulation. By directly transmitting non-binary symbols with amplitude modulation, the uncoded system avoids the annoying cliff effect observed in the coded transmission system. This advantage makes uncoded transmission more suited to both unicast in varying channel conditions and multicast to heterogeneous users.

Particularly, in the first part of Uncoded Multimedia Transmission, we consider how to improve the efficiency of uncoded transmission and make it on par with coded transmission. We then address issues and challenges regarding how to better utilize temporal and spatial correlation of images and video in the uncoded transmission, to achieve the optimal transmission performance. Next, we investigate the resource allocation problem for uncoded transmission, including subchannel, bandwidth and power allocation. By properly allocating these resources, uncoded transmission can achieve higher efficiency and more robust performance. Subsequently, we consider the image and video delivery in MIMO broadcasting networks with diverse channel quality and varying numbers of antennas across receivers. Finally, we investigate the cases where uncoded transmission can be used in conjunction with digital transmission for a balanced efficiency and adaptation capability.

This book is the very first monograph in the general area of uncoded multimedia transmission written in a self-contained format. It addresses both the fundamentals and the applications of uncoded transmission. It gives a systematic introduction to the fundamental theory and concepts in this field, and at the same time, also presents specific applications that reveal the great potential and impacts for the technologies generated from the research in this field. By concentrating several important studies and developments currently taking place in the field of uncoded transmission in a single source, this book can reduce the time and cost required to learn and improve skills and knowledge in the field.

The authors have been actively working in this field for years, and this book is the final essence of their years of long research in this field. The book may be used as a collection of research notes for researchers in this field, a reference book for practitioners or engineers, as well as a textbook for a graduate advanced seminar in this field or any related fields. The references collected in this book may be used as further reading lists or references for the readers.

無編碼多媒體傳輸（UMT）系統是一種跳過壓縮中的量化和熵編碼以及所有後續的二進制操作（包括通道編碼和調製的位元到符號映射）的系統。通過直接使用振幅調製傳輸非二進制符號，無編碼系統避免了編碼傳輸系統中出現的令人困擾的懸崖效應。這個優勢使得無編碼傳輸更適合於在不同通道條件下的單播和異構用戶的多播。

特別是在《無編碼多媒體傳輸》的第一部分中，我們考慮如何提高無編碼傳輸的效率，使其與編碼傳輸相媲美。然後，我們討論了關於如何更好地利用圖像和視頻的時間和空間相關性在無編碼傳輸中，以實現最佳的傳輸性能的問題和挑戰。接下來，我們研究了無編碼傳輸的資源分配問題，包括子通道、頻寬和功率分配。通過合理分配這些資源，無編碼傳輸可以實現更高的效率和更強大的性能。隨後，我們考慮了在具有不同通道質量和接收器之間變化的天線數的MIMO廣播網絡中的圖像和視頻傳遞。最後，我們研究了無編碼傳輸可以與數字傳輸結合使用以實現平衡的效率和適應能力的情況。

這本書是關於無編碼多媒體傳輸的第一本專著，以自成一體的形式撰寫。它既涵蓋了無編碼傳輸的基礎知識，也介紹了具體的應用，展示了從這一領域的研究中產生的技術的巨大潛力和影響。通過將目前在無編碼傳輸領域中正在進行的幾項重要研究和發展集中在一個來源中，這本書可以減少學習和提高該領域技能和知識所需的時間和成本。

作者多年來一直在這一領域積極工作，這本書是他們多年來在這一領域的研究的最終精華。這本書可以作為該領域研究人員的研究筆記集，從業人員或工程師的參考書，以及該領域或任何相關領域的研究生高級研討會的教材。本書收集的參考文獻可以作為進一步閱讀清單或讀者的參考資料。

Feng Wu received his B.S. degree in Electrical Engineering from XIDIAN University in 1992. He received his M.S. and Ph.D. degrees in Computer Science from Harbin Institute of Technology in 1996 and 1999, respectively. Now he is a full professor, the assistant to the president of University of Science and Technology of China (USTC) and the director of National Engineering Laboratory of Brain-Inspired Intelligence Technology and Application (NEL-BITA). Before that, he was a principle researcher and a research manager in Microsoft Research Asia. His research interests include image and video compression, media communication, and media analysis and synthesis. He has authored or co-authored over 300 high quality papers (including about 100 Journal papers) and top conference papers on MOBICOM, SIGIR, CVPR and ACM MM. He has 80 granted US patents. His 15 techniques have been adopted into international video coding standards. His work in Google Scholar has been cited 18000+ (H-index as 54) to date. As a co-author, he got the best paper award in IEEE T-CSVT 2009, IEEE VCIP 2016, PCM 2008 and SPIE VCIP 2007. Wu has been a Fellow of IEEE. He serves or served as, EIC of TCSVT, DEiC of TCSVT, Associate Editors in IEEE TIP, IEEE TCSVT, IEEE TMM, and several other International journals. He also serves/served as General Chair in ICME 2019, TPC Chair in MMSP 2011, VCIP 2010 and PCM 2009.

Dr. Chong Luo joined Microsoft Research Asia (MSRA) in 2003, where she is currently a Principal Researcher with the Intelligent Multimedia Group. She is also an Adjunct Professor and Ph.D. advisor with the University of Science and Technology of China (USTC). Dr. Luo received her Ph.D. degree in Electrical Engineering from Shanghai Jiao Tong University in 2012, M.Sc. degree in Computer Science from National University of Singapore (NUS), Singapore in 2002 and B.Sc. degree in Computer Science from Fudan University, China in 2000. She has been an IEEE senior member since 2014. Dr. Luo has been working on various video-related topics, including peer-to-peer video conferencing, wireless video communications, and multimedia cloud computing. Her current research focus is on building intelligent multimedia systems based on advanced AI technologies.

Hancheng Lu received his Ph.D. degree from University of Science and Technology of China (USTC) in July 2005, in Communication and Information Systems. He has been a faculty member of USTC since July 2005 and worked as an associate professor at USTC since Jan. 2008. His research interests include multimedia communication and networking, resource optimization in wireless heterogeneous networks. Lu is active in academic volunteer work. He has served as a reviewer for IEEE JSAC, IEEE TWC, IEEE TMM, IEEE T-CSVT, and Technical Program Committee (TPC) member at IEEE ICC, IEEE GLOBECOM, IEEE WCNC.

馮武於1992年從西安電子科技大學獲得電氣工程學士學位。他於1996年和1999年分別從哈爾濱工業大學獲得計算機科學碩士和博士學位。目前，他是中國科學技術大學（USTC）的全職教授，校長助理，以及國家腦啟發智能技術與應用國家工程實驗室（NEL-BITA）的主任。在此之前，他曾是微軟亞洲研究院的首席研究員和研究經理。他的研究興趣包括圖像和視頻壓縮、媒體通信以及媒體分析和合成。他已經發表或合著了300多篇高質量論文（包括約100篇期刊論文）和在MOBICOM、SIGIR、CVPR和ACM MM等頂級會議上的論文。他擁有80項美國專利。他的15項技術已被納入國際視頻編碼標準。他在Google Scholar上的工作已被引用18000+次（H指數為54）。作為合著者，他在IEEE T-CSVT 2009、IEEE VCIP 2016、PCM 2008和SPIE VCIP 2007等會議上獲得了最佳論文獎。武是IEEE的會士。他曾擔任TCSVT的主編，TCSVT的副主編，IEEE TIP、IEEE TCSVT、IEEE TMM等國際期刊的副編輯，以及ICME 2019的總主席，MMSP 2011、VCIP 2010和PCM 2009的技術程序委員會主席。

羅崇博士於2003年加入微軟亞洲研究院（MSRA），目前是智能多媒體組的首席研究員。她還是中國科學技術大學（USTC）的兼職教授和博士生導師。羅博士於2012年從上海交通大學獲得電氣工程博士學位，2002年從新加坡國立大學（NUS）獲得計算機科學碩士學位，以及2000年從復旦大學獲得計算機科學學士學位。她自2014年起成為IEEE的高級會員。羅博士一直致力於各種與視頻相關的研究，包括點對點視頻會議、無線視頻通信和多媒體雲計算。她目前的研究重點是基於先進的人工智能技術建立智能多媒體系統。

盧漢成於2005年7月從中國科學技術大學（USTC）獲得通信與信息系統博士學位。自2005年7月起，他一直是USTC的教職員工，並自2008年1月起擔任副教授。他的研究興趣包括多媒體通信和網絡，無線異構網絡中的資源優化。盧漢成在學術志願者工作方面非常活躍。他曾擔任IEEE JSAC、IEEE TWC、IEEE TMM、IEEE T-CSVT的審稿人，以及IEEE ICC、IEEE GLOBECOM、IEEE WCNC等會議的技術程序委員會成員。