Digital content is everywhere and has revolutionized the way broadcasters and Web sites deliver images, sound, video, and multimedia to their audiences. Today, Web site managers and broadcasters are striving to identify and target distinct segments in these audiences. This volume provides the in-depth technical details of transcoding and annotation that broadcast and Web engineers need to know to create accessible and reusable digital content capable of being tailored and personalized for a particular audience. It also covers metadata tagging, natural language processing, voice and video analysis, and multimedia summary and translation, which are the underpinning technologies of digital content transcoding and annotation.
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Katashi Nagao is a professor at Nagoya University in Nagoya, Japan. A board member of the Association for Natural Language Processing, he is a leading researcher in advanced digital content and multimedia technologies as well as natural language processing. He received a doctorate degree in computer science from the Tokyo Institute of Technology and served as an editor for the Japanese Society for Artificial Intelligence and the Information Processing Society of Japan.
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