Hybrid Video Compression Standard

Dhaval R. Bhojani · Vedvyas J. Dwivedi · Rohit M. Thanki

Sep 2019 · Springer Nature

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The book presents compression techniques for digital video stream, describing their design using various image transforms, such as discrete cosine transform (DCT), discrete wavelet transform (DWT), and singular value decomposition (SVD). It first discusses the basic requirements and applications of video compression techniques. The book then addresses video compression using DCT as well as the hybrid compression technique, designed and implemented using DCT, DWT and SVD, demonstrating the simulation results for both. Lastly, it proposes future research directions in the field.

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Dr. Dhaval R. Bhojani is an Assistant Professor, at the Department of E.C. Engineering, Government Engineering College, Rajkot. He earned his Ph.D. in Video Compression from JJTU, Rajasthan, in 2013. His areas of research are image & video processing, industrial automation, and embedded systems, and he has published more than 20 papers in refereed and indexed journals and participated in various national and international conferences. He has a member of ISTE and the Institute of Engineers, New Delhi, India.

Dr. Vedvyas J. Dwivedi is a Professor (Department of E.C. Engineering, Faculty of Technology and Engineering) and Vice-Provost of C. U. Shah University, India. He holds a B.E. (Electronics Engineering), M.E. (Electronics and Communication Engineering), and Ph.D. (Electronics and Communication Engineering). His has expertise in a number of areas, including wireless-satellite-mobile-optical-RF-microwave systems and sensor-energy-signal technology, and he has published 137 research and review articles, delivered 38 talks, authored/co-authored 10 books, completed 12 research/consultancy projects, published 8 patents, and chaired 16 sessions at national/international IEEE, IETE, IE (I), ISTE, and HEI conferences. He also has videos available on YouTube.

Dr. Rohit M. Thanki earned his Ph.D. from C. U. Shah University, India, in 2017 with a thesis on Multibiometric system security using the compressive sensing theory and watermarking. His areas of research are digital watermarking, the biometrics system, security, compressive sensing, pattern recognition, and image processing. He has published 7 books, 9 book chapters, and more than 25 research papers in refereed and indexed journals and has participated in national and international conferences. He is a member of various professional bodies, serves on a number of program committees and is a reviewer for journals published by the Institute of Electrical and Electronics Engineers (IEEE), Elsevier, Taylor & Francis, Springer, and IGI Global.

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