Video Cataloguing - Gao, Guangyu; Liu, Chi Harold
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Video Cataloguing explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data. It addresses the issues of video cataloguing, including video structure parsing and basic semantic word extraction, particularly for movie and teleplay videos. The book provides a fundamental understanding of video structure parsing and introduces some of the most popular features in video analysis. It introduces and analyzes the most popular shot boundary detection methods and presents research on movie scene detection.…mehr

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Produktbeschreibung
Video Cataloguing explains how to efficiently perform video structure analysis as well as extract the basic semantic contents for video summarization, which is essential for handling large-scale video data. It addresses the issues of video cataloguing, including video structure parsing and basic semantic word extraction, particularly for movie and teleplay videos. The book provides a fundamental understanding of video structure parsing and introduces some of the most popular features in video analysis. It introduces and analyzes the most popular shot boundary detection methods and presents research on movie scene detection.
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Autorenporträt
Guangyu Gao is an assistant professor at the School of Software, Beijing Institute of Technology, China. He earned his PhD degree in computer science and technology from the Beijing University of Posts and Telecommunications, China, in 2013, and his MS degree in computer science and technology from Zhengzhou University, Henan Province, China, in 2007. He was also a government-sponsored joint PhD student at the National University of Singapore, from July 2012 to April 2013. His current research interests include applications of multimedia, computer vision, video analysis, machine learning, and Big Data. As an author, he received the Electronic Information and Science Technology Prize, awarded by the Chinese Institute of Electronics. He has published dozens of prestigious conference and journal papers and is a member of both the Association for Computing Machinery and the China Computer Federation. Chi Harold Liu is a full professor at the School of Software, Beijing Institute of Technology, China. He is also the director of the IBM Mainframe Excellence Center (Beijing), the IBM Big Data Technology Center, and the National Laboratory of Data Intelligence for China Light Industry. He holds a PhD degree from Imperial College, London, UK, and a BEng degree from Tsinghua University, Beijing, China. Before moving to academia, he joined IBM Research-China as a staff researcher and project manager, after working as a postdoctoral researcher at Deutsche Telekom Laboratories, Berlin, Germany, and a visiting scholar at IBM T. J. Watson Research Center, Hawthorne, New York. His current research interests include the Internet-of-Things (IoT), Big Data analytics, mobile computing, and wireless ad hoc, sensor, and mesh networks. He received the Distinguished Young Scholar Award in 2013, IBM First Plateau Invention Achievement Award in 2012, and IBM First Patent Application Award in 2011 and was interviewed by EEWeb.com as the featured engineer in 2011. He has published more than 60 prestigious conference and journal papers and owned more than 10 EU/U.S./China patents.