Overview
- Recent research in intelligent video event analysis
- Edited Outcome of the 1st International Workshop on Video Event Categorization, Tagging and Retrieval" (VECTaR2009) held in Xi'an, China, September 2009
- Written by leading experts in this field
Part of the book series: Studies in Computational Intelligence (SCI, volume 332)
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About this book
With the vast development of Internet capacity and speed, as well as wide adop- tion of media technologies in people’s daily life, a large amount of videos have been surging, and need to be efficiently processed or organized based on interest. The human visual perception system could, without difficulty, interpret and r- ognize thousands of events in videos, despite high level of video object clutters, different types of scene context, variability of motion scales, appearance changes, occlusions and object interactions. For a computer vision system, it has been be very challenging to achieve automatic video event understanding for decades. Broadly speaking, those challenges include robust detection of events under - tion clutters, event interpretation under complex scenes, multi-level semantic event inference, putting events in context and multiple cameras, event inference from object interactions, etc. In recent years, steady progress has been made towards better models for video event categorisation and recognition, e. g. , from modelling events with bag of spatial temporal features to discovering event context, from detecting events using a single camera to inferring events through a distributed camera network, and from low-level event feature extraction and description to high-level semantic event classification and recognition. Nowadays, text based video retrieval is widely used by commercial search engines. However, it is still very difficult to retrieve or categorise a specific video segment based on their content in a real multimedia system or in surveillance applications.
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Table of contents (11 chapters)
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Front Matter
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Back Matter
Editors and Affiliations
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Bibliographic Information
Book Title: Intelligent Video Event Analysis and Understanding
Editors: Jianguo Zhang, Ling Shao, Lei Zhang, Graeme A. Jones
Series Title: Studies in Computational Intelligence
DOI: https://doi.org/10.1007/978-3-642-17554-1
Publisher: Springer Berlin, Heidelberg
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag Berlin Heidelberg 2010
Hardcover ISBN: 978-3-642-17553-4Published: 19 January 2011
Softcover ISBN: 978-3-662-50585-4Published: 23 August 2016
eBook ISBN: 978-3-642-17554-1Published: 02 February 2011
Series ISSN: 1860-949X
Series E-ISSN: 1860-9503
Edition Number: 1
Number of Pages: X, 251
Topics: Computational Intelligence, Signal, Image and Speech Processing, Image Processing and Computer Vision, Artificial Intelligence