Multimodal Video Characterization and Summarization

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field.
This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

List of contents

Video Structure and Terminology.- Multimodal Video Characterization.- Video Summarization.- Visualization Techniques.- Evaluation.- Conclusions.

About the author

Dr. Michael A. Smith ist Facharzt für Innere Medizin. Sein Anliegen als Autor und Blogger sowie als Entwickler von Webinaren und Videos ist es, den Menschen zu einem möglichst langen Leben in Gesundheit zu verhelfen.

Summary

Multimodal Video Characterization and Summarization is a valuable research tool for both professionals and academicians working in the video field.

This book describes the methodology for using multimodal audio, image, and text technology to characterize video content. This new and groundbreaking science has led to many advances in video understanding, such as the development of a video summary. Applications and methodology for creating video summaries are described, as well as user-studies for evaluation and testing.

Product details

• Authors: Takeo Kanade, Michael Smith, Michael A Smith, Michael A. Smith
• Publisher: Springer, Berlin
• Languages: English
• Product format: Paperback / Softback
• Released: 21.10.2010
• EAN: 9781441953513
• ISBN: 978-1-4419-5351-3
• No. of pages: 204
• Dimensions: 156 mm x 11 mm x 234 mm
• Weight: 334 g
• Illustrations: XII, 204 p.
• Series: The International Series in Video Computing; The International Series in Video Computing
• Subjects: Natural sciences, medicine, IT, technology > IT, data processing > Application software; C, Artificial Intelligence, computer science, Computer Vision, Image Processing and Computer Vision, Computer Graphics, pattern recognition, Computer Imaging, Vision, Pattern Recognition and Graphics, Multimedia Information Systems, Automated Pattern Recognition, Optical data processing, Image processing, Graphical & digital media applications, Graphics programming, Audio;video;visualization