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Applying the Video Summarization Algorithm to Surveillance Systems

Yi-Nung Chung, Tun-Chang Lu, Ming-Tsung Yeh, Yu-Xian Huang, and Chun-Yi Wu
Department of Electrical Engineering, National Changhua University of Education, Changhua City, Taiwan

Abstract—Surveillance systems are very popular today. Efficiently access the record image of surveillance system is an important research goal. This paper proposes a simple method to enhance the video image summarization. The video summarization production process in this paper is divided into intrusion detection of moving objects and time axis with animation output. The purpose is to improve the surveillance access efficiency of documentary video. In moving target detection section, a series of image processing method is applied for processing images. It is recognized as an invasion of moving object image storage. It will save the image production time code and mark the top left corner in the image. Finally, the summarization of both WMV and AVI video files are conducted in this paper.

Index Terms—digital image processing, surveillance system, video summarization, image processing, time code

Cite: Yi-Nung Chung, Tun-Chang Lu, Ming-Tsung Yeh, Yu-Xian Huang, and Chun-Yi Wu, "Applying the Video Summarization Algorithm to Surveillance Systems," Journal of Image and Graphics, Vol. 3, No. 1, pp. 20-24, June 2015. doi: 10.18178/joig.3.1.20-24