Chapter 21

Semantic Analysis for Multimedia Security Application

Fadi Almasalha

Fadi Almasalha

College of Engineering, Purdue University, West Lafayette, Indiana, USA

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Faisal Bashir

Faisal Bashir

College of Engineering, Purdue University, West Lafayette, Indiana, USA

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Ashfaq Khokhar

Ashfaq Khokhar

College of Engineering, Purdue University, West Lafayette, Indiana, USA

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Farrukh KhanHammad Haseeb

Hammad Haseeb

College of Engineering, Purdue University, West Lafayette, Indiana, USA

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Arif Ghafoor

Arif Ghafoor

College of Engineering, Purdue University, West Lafayette, Indiana, USA

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First published: 19 April 2010

Summary

This chapter presents the current state - of - the - art in semantic analysis of video data and its application in the areas of surveillance and infrastructure security. In this area, numerous semantic computing challenges encountered at different stages of video data processing, including low - level image processing, object identification, motion detection, tracking, event modeling/ representation, and event classification, have been elaborated. Most of the surveillance applications of multimedia deal with low - resolution noisy video data for which events of interest are generally characterized by motion activities. The chapter elaborates numerous technical challenges in video processing and have presented a broad review of existing techniques for motion - based semantic analysis of multimedia data.

Controlled Vocabulary Terms

multimedia databases; security; semantic Web

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