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Along with the expeditious improvements in the network, computation, storage technologies and consumer electronics, video content has become much more commonplace, and more accessible. Powered by the broadband wireless connection capabilities provided by Wi-Fi, 3G, WiMax, etc., and the video playback capabilities available on various personal digital assistants (PDA), the vision of searching and browsing video content anywhere and anytime is becoming a reality.

The structure of this chapter is as follows. Section 6.2 focuses on shot boundary detection, which is normally the first component in most video processing systems. We discuss how to select representative keyframes for each shot in Sect. 6.3. Face detection and recognition are described in Sects. 6.4 and 6.5. We briefly introduce the video OCR techniques in Sect. 6.6. Concept detection in video is then presented in Sect. 6.7. In Sect. 6.8, user interface issues, including video browsing and navigation are considered. Finally, we draw conclusions in Sect. 6.9.

Keywords

Support Vector Machine Face Recognition Video Content Finite State Machine Face Detection 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Berlin Heidelberg 2008

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