Intelligent Multimedia Signal Processing for Smart Ecosystems

Parah, Shabir A., Hurrah, Nasir N., Khan, Ekram

  • 出版商: Springer
  • 出版日期: 2024-10-03
  • 售價: $7,030
  • 貴賓價: 9.5$6,679
  • 語言: 英文
  • 頁數: 367
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031348753
  • ISBN-13: 9783031348754
  • 海外代購書籍(需單獨結帳)

相關主題

商品描述

A smart ecosystem is envisioned to exchange and analyze data across systems, enabling a flexible, faster, and reliable smart ecosystem for high-quality results at reduced costs and little human intervention. This book introduces many innovative approaches and provides solutions to various problems of smart ecosystems designed by employing various techniques/models based on AI, ML, Deep Learning, and the Internet of Things (IoT). The main focus is on intelligent multimedia processing and automated decision-making for various services, real-time data analysis, data security, cost-effective solutions for multimedia applications, smart information processing systems, and smart city planning to name a few. In addition, this book presents some key insights and future directions in the various areas of technology. Throughout the book, many state-of-the-art solutions concerning various applications are proposed to solve the issues and ensure the quality of services (QoS). The authors discuss the limitations of the current techniques used to design a smart ecosystem and highlight some prospective areas of research in the future. The book comprehensively discusses multimedia processing of various forms of data comprising text, images, and audio for the implementation of various solutions. The book is aimed to open many areas of research and thus would present a comprehensive reference for the design of smart ecosystems in various applications.

商品描述(中文翻譯)

一個智慧生態系統的願景是能夠在各系統之間交換和分析數據,從而實現靈活、更快速且可靠的智慧生態系統,以降低成本並減少人力介入,達成高品質的結果。本書介紹了許多創新的方法,並提供針對智慧生態系統各種問題的解決方案,這些解決方案是基於人工智慧(AI)、機器學習(ML)、深度學習和物聯網(IoT)等各種技術/模型設計的。主要重點在於智能多媒體處理和自動化決策,涵蓋各種服務、即時數據分析、數據安全、多媒體應用的成本效益解決方案、智慧信息處理系統以及智慧城市規劃等。除此之外,本書還提供了一些關鍵見解和未來技術領域的發展方向。在整本書中,提出了許多針對各種應用的最先進解決方案,以解決問題並確保服務質量(QoS)。作者討論了當前設計智慧生態系統所使用技術的限制,並強調未來一些潛在的研究領域。本書全面討論了各種形式數據(包括文本、圖像和音頻)的多媒體處理,以實現各種解決方案。本書旨在開啟許多研究領域,因此將為各種應用中的智慧生態系統設計提供全面的參考。

作者簡介

Shabir Parah:

Shabir A. Parah received M. Phil. and Ph.D. Degrees from University of Kashmir in 2010 and 2013 respectively. He was awarded Junior Research Fellowship (JRF) by University Grants Commission in the Year 2008, and subsequently worked as UGC-Junior Research Fellow from January 2009 to May 2010. In May 2010, he joined as Assistant Professor in the Department of Electronics and Instrumentation Technology, University of Kashmir. He is leading Signal Processing and Communication Engineering (SPACE) Research group at the Department of Electronics and Inst. Technology. His research interests include, Medical Image Processing, E- healthcare, Covert Communications, Digital Watermarking, Reversible Data Hiding, Adaptive digital filter design, Image compression and coding, Information Security and Spintronics. He is author of more than 150 publications in International and National journals/conferences. Besides he has authored 25 book chapters published by reputed publishing houses like Elsevier and Springer. He is the member of several profession societies and serving as a reviewer for many International and National scientific journals in Electronics and communication engineering. He has received fiver Best paper Awards at various IEEE International Conferences till date. He received Outstanding scientist award from the University of Kashmir in 2022. He Figured in World top 2% researchers in the field of Image Processing and Artificial Intelligence for three consecutive years 2020, 2021 and 2022.

Nasir N. Hurrah:

Nasir N. Hurrah is currently working under the prestigious Dr. D S Kothari program sponsored by University Grants Commission (UGC), Govt. of India as Postdoc Fellow at Aligarh Muslim University. He obtained his Ph. D degree in Electronics in the area of

Image processing and Information security from University of Kashmir, Srinagar (India) in 2020. He has worked as Lecturer at University of Kashmir and University of Jammu during 2020-2021. His research interests include, Image Processing, E-healthcare, Digital Watermarking, Information Security, Internet of Things, Cybersecurity, Machine Learning and Signal Processing. He has published various SCI papers in multiple journals of IEEE transactions, Elsevier and Springer.

Ekram Khan:

Ekram Khan obtained his Ph. D degree in Electronics Engineering in the area of Image/Video Coding and Transmission from University of Essex, Colchester (U.K.) in 2003. He has joined the Department of Electronics Engineering, AMU Aligarh as a Lecturer in 1993, promoted to reader in 2003 and is currently working as a Professor since March 2009. He was a recipient of the prestigious Commonwealth Scholarship (1999-2002) to pursue his Ph. D. from University of Essex, UK. He has authored and co-authored over 120 papers in refereed reputed journals (IEEE Transactions on CSVT, Multimedia, Broadcasting, IET Image Processing, IET Communications, IET Electronics Letters, etc) and international conference proceedings. His areas of research are low complexity image/video coding, video transmission over wireless networks, video streaming and bio-medical image processing. He has received a research award from IBM J. T. Watson research lab, USA for the best disruptive idea during ICME-2002. During his stay at Essex, UK, he was involved with a European Union project (the MELISA project) examining segmentation and tracking of players in football match videos. He was one of the co-investigator of a short-term project funded by Office of Communication (Ofcom), UK and worked in collaboration with researchers at University of Essex, UK. He has delivered many invited talks at national and international levels. He is a senior member of IEEE (USA), life member of IETE (India) and life member of SSI (India)

作者簡介(中文翻譯)

Shabir Parah:

Shabir A. Parah 於 2010 年和 2013 年分別獲得克什米爾大學的碩士及博士學位。他於 2008 年獲得大學補助委員會的初級研究獎學金(JRF),並隨後於 2009 年 1 月至 2010 年 5 月擔任 UGC 初級研究員。2010 年 5 月,他加入克什米爾大學電子與儀器技術系擔任助理教授。他目前領導電子與儀器技術系的信號處理與通信工程(SPACE)研究小組。他的研究興趣包括醫學影像處理、電子健康、隱蔽通信、數位水印、可逆數據隱藏、自適應數位濾波器設計、影像壓縮與編碼、資訊安全及自旋電子學。他在國際及國內期刊/會議上發表了超過 150 篇論文。此外,他還撰寫了 25 章書籍,這些書籍由知名出版社如 Elsevier 和 Springer 出版。他是多個專業學會的成員,並擔任多本國際及國內電子與通信工程科學期刊的審稿人。至今,他在各種 IEEE 國際會議上獲得五次最佳論文獎。他於 2022 年獲得克什米爾大學的傑出科學家獎。他在影像處理和人工智慧領域連續三年(2020、2021 和 2022)被列為全球前 2% 的研究人員。

Nasir N. Hurrah:

Nasir N. Hurrah 目前在印度政府大學補助委員會(UGC)贊助的著名 Dr. D S Kothari 計畫下,擔任阿利格爾穆斯林大學的博士後研究員。他於 2020 年在克什米爾大學(印度)獲得電子學博士學位,專攻影像處理和資訊安全。他在 2020 至 2021 年期間擔任克什米爾大學和查謨大學的講師。他的研究興趣包括影像處理、電子健康、數位水印、資訊安全、物聯網、網路安全、機器學習和信號處理。他在多個 IEEE 交易期刊、Elsevier 和 Springer 的期刊上發表了多篇 SCI 論文。

Ekram Khan:

Ekram Khan 於 2003 年在英國科爾切斯特的埃塞克斯大學獲得電子工程博士學位,專攻影像/視頻編碼與傳輸。他於 1993 年加入阿利格爾穆斯林大學電子工程系擔任講師,於 2003 年晉升為讀者,並自 2009 年 3 月起擔任教授。他曾獲得著名的英聯邦獎學金(1999-2002),以便在英國埃塞克斯大學攻讀博士學位。他在多個受評審的知名期刊(如 IEEE Transactions on CSVT、Multimedia、Broadcasting、IET Image Processing、IET Communications、IET Electronics Letters 等)和國際會議論文集中發表了超過 120 篇論文。他的研究領域包括低複雜度影像/視頻編碼、無線網路視頻傳輸、視頻串流及生醫影像處理。他曾因在 ICME-2002 會議上提出最佳顛覆性想法而獲得 IBM J. T. Watson 研究實驗室的研究獎。在英國埃塞克斯大學期間,他參與了一個歐盟項目(MELISA 項目),研究足球比賽視頻中的球員分割與追蹤。他是由英國通訊辦公室(Ofcom)資助的短期項目的共同研究者,並與英國埃塞克斯大學的研究人員合作。他在國內外多次發表受邀演講。他是 IEEE(美國)的資深會員、IETE(印度)的終身會員及 SSI(印度)的終身會員。