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A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video
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ISBN: 9780080481531 0080481531 9780123693877 012369387X 1281052264 9781281052261 9786611052263 6611052267 Year: 2006 Publisher: Boston Elsevier/Academic Press

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Large volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques. Constructing a video table of contents (ToC) and video highlights to enable end users to sift through all this data and find what they want, when they want are essential. This reference puts forth a unified framework to integrate these functions supporting efficient browsing and retrieval of video content. The authors have developed a cohesive way to create a video table of contents, video highlights, and video indices that serve to streamline the use of applications in consumer and surveillance video applications. The authors discuss the generation of table of contents, extraction of highlights, different techniques for audio and video marker recognition, and indexing with low-level features such as color, texture, and shape. Current applications including this summarization and browsing technology are also reviewed. Applications such as event detection in elevator surveillance, highlight extraction from sports video, and image and video database management are considered within the proposed framework. This book presents the latest in research and readers will find their search for knowledge completely satisfied by the breadth of the information covered in this volume. * Offers the latest in cutting edge research and applications in surveillance and consumer video * Presentation of a novel unified framework aimed at successfully sifting through the abundance of footage gathered daily at shopping malls, airports, and other commercial facilities * Concisely written by leading contributors in the signal processing industry with step-by-step instruction in building video ToC and indices.

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A unified framework for video summarization, browsing, and retrieval with applications to consumer and surveillance video
Authors: --- ---
ISBN: 1281052264 9786611052263 0080481531 9780080481531 9780123693877 012369387X 9781281052261 012369387X 6611052267 Year: 2006 Publisher: Amsterdam: Elsevier,

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Abstract

Large volumes of video content can only be easily accessed by the use of rapid browsing and retrieval techniques. Constructing a video table of contents (ToC) and video highlights to enable end users to sift through all this data and find what they want, when they want are essential. This reference puts forth a unified framework to integrate these functions supporting efficient browsing and retrieval of video content. The authors have developed a cohesive way to create a video table of contents, video highlights, and video indices that serve to streamline the use of applications in consumer an

Facial Analysis from Continuous Video with Applications to Human-Computer Interface
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ISBN: 140207803X 1402078021 Year: 2004 Publisher: New York, NY : Springer US : Imprint: Springer,

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Computer vision algorithms for the analysis of video data are obtained from a camera aimed at the user of an interactive system. It is potentially useful to enhance the interface between users and machines. These image sequences provide information from which machines can identify and keep track of their users, recognize their facial expressions and gestures, and complement other forms of human-computer interfaces. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces presents a learning technique based on information-theoretic discrimination which is used to construct face and facial feature detectors. This book also describes a real-time system for face and facial feature detection and tracking in continuous video. Finally, this book presents a probabilistic framework for embedded face and facial expression recognition from image sequences. Facial Analysis from Continuous Video with Applications to Human-Computer Interfaces is designed for a professional audience composed of researchers and practitioners in industry. This book is also suitable as a secondary text for graduate-level students in computer science and engineering.

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