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Book synopsis

Video Object Extraction and Representation: Theory and Applications is an essential reference for electrical engineers working in video; computer scientists researching or building multimedia databases; video system designers; students of video processing; video technicians; and designers working in the graphic arts.§In the coming years, the explosion of computer technology will enable a new form of digital media. Along with broadband Internet access and MPEG standards, this new media requires a computational infrastructure to allow users to grab and manipulate content. The book reviews relevant technologies and standards for content-based processing and their interrelations. Within this overview, the book focuses upon two problems at the heart of the algorithmic/computational infrastructure: video object extraction, or how to automatically package raw visual information by content; and video object representation, or how to automatically index and catalogue extracted content for browsing and retrieval. The book analyzes the designs of two novel, working systems for content-based extraction and representation in the support of MPEG-4 and MPEG-7 video standards, respectively.§Features of the book include: §Overview of MPEG standards; §A working system for automatic video object segmentation; §A working system for video object query by shape; §Novel technology for a wide range of recognition problems; §Overview of neural network and vision technologies Video Object Extraction and Representation: Theory and Applications will be of interest to research scientists and practitioners working in fields related to the topic. It may also be used as an advanced-level graduate text.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Video Object Extraction and Representation
• Subtitle: Theory and Applications
• Author: -Jong Lin, S.Y. Kung
• Language: English
• Binding: Paperback
• Number of pages: 177
• EAN: 9781475783841
• ISBN: 1475783841
• ID: 02175494
• Publisher: Springer-Verlag New York Inc.
• Weight: 308 g
• Dimensions: 235 × 155 × 11 mm
• Date of publishing: 21. March 2013

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