Uncoded Multimedia Transmission
暫譯: 無編碼多媒體傳輸

Wu, Feng, Luo, Chong, Lu, Hancheng

Uncoded Multimedia Transmission
  • 出版商: CRC
  • 出版日期: 2023-07-24
  • 售價: $2,350
  • 貴賓價: 9.5 折 $2,233
  • 語言: 英文
  • 頁數: 326
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 0367632977
  • ISBN-13: 9780367632977

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

未編碼多媒體傳輸（UMT）系統是一種跳過量化和熵編碼的壓縮方式，並省略所有後續的二進位操作，包括通道編碼和調變的位元到符號映射。透過直接傳輸具有幅度調變的非二進位符號，未編碼系統避免了在編碼傳輸系統中觀察到的令人困擾的懸崖效應。這一優勢使得未編碼傳輸更適合在變化的通道條件下進行單播，以及對異質用戶進行多播。

特別是在《未編碼多媒體傳輸》的第一部分中，我們考慮如何提高未編碼傳輸的效率，使其與編碼傳輸相當。接著，我們探討如何更好地利用圖像和視頻的時間和空間相關性，以實現最佳的傳輸性能。接下來，我們研究未編碼傳輸的資源分配問題，包括子通道、帶寬和功率分配。透過適當分配這些資源，未編碼傳輸可以實現更高的效率和更穩健的性能。隨後，我們考慮在具有多樣通道質量和接收器天線數量變化的MIMO廣播網絡中進行圖像和視頻的傳遞。最後，我們探討未編碼傳輸如何與數位傳輸結合使用，以達到平衡的效率和適應能力。

本書是未編碼多媒體傳輸領域中第一本以自成體系格式撰寫的專著。它涵蓋了未編碼傳輸的基本原理和應用，系統性地介紹了該領域的基本理論和概念，同時也展示了具體應用，揭示了該領域研究所產生技術的巨大潛力和影響。通過集中幾個當前在未編碼傳輸領域進行的重要研究和發展，本書可以減少學習和提升該領域技能和知識所需的時間和成本。

作者在這一領域積極工作多年，本書是他們多年研究的精華。該書可作為該領域研究人員的研究筆記集，亦可作為從業者或工程師的參考書，以及該領域或任何相關領域的研究生高級研討會教材。本書中收集的參考文獻可作為讀者的進一步閱讀清單或參考資料。

作者簡介

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.

作者簡介(中文翻譯)

冯武於1992年獲得西電大學電氣工程學士學位，並於1996年和1999年分別獲得哈爾濱工業大學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，以及國家工程實驗室腦啟發智能技術與應用（NEL-BITA）的主任。在此之前，他曾擔任微軟亞洲研究院的首席研究員和研究經理。他的研究興趣包括影像與視頻壓縮、媒體通信以及媒體分析與合成。他已發表或共同發表超過300篇高品質論文（包括約100篇期刊論文）及在MOBICOM、SIGIR、CVPR和ACM MM等頂級會議上的論文。他擁有80項美國專利，15項技術已被納入國際視頻編碼標準。他在Google Scholar上的引用次數超過18000次（H指數為54）。作為共同作者，他在IEEE T-CSVT 2009、IEEE VCIP 2016、PCM 2008和SPIE VCIP 2007中獲得最佳論文獎。冯武是IEEE的會士，曾擔任TCSVT的主編、TCSVT的副編輯、IEEE TIP、IEEE TCSVT、IEEE TMM及其他幾本國際期刊的副編輯。他還擔任2019年ICME的總主席、2011年MMSP、2010年VCIP和2009年PCM的程序委員會主席。

羅崇於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。她同時也是中國科學技術大學（USTC）的兼任教授和博士生導師。羅博士於2012年獲得上海交通大學電氣工程博士學位，2002年獲得新加坡國立大學（NUS）計算機科學碩士學位，2000年獲得復旦大學計算機科學學士學位。自2014年以來，她一直是IEEE的資深會員。羅博士的研究涉及各種視頻相關主題，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AI技術構建智能多媒體系統。

陸漢城於2005年7月獲得中國科學技術大學（USTC）通信與信息系統博士學位。自2005年7月以來，他一直是USTC的教職員，並自2008年1月起擔任USTC的副教授。他的研究興趣包括多媒體通信與網絡、無線異構網絡中的資源優化。陸教授積極參與學術志願工作，曾擔任IEEE JSAC、IEEE TWC、IEEE TMM、IEEE T-CSVT的審稿人，以及IEEE ICC、IEEE GLOBECOM、IEEE WCNC的技術程序委員會（TPC）成員。

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