Performance Analysis of Various Key Frame Extraction Methods for Surveillance Applications
نویسنده
چکیده
With the large amounts of video data available, it has become increasingly important to have the ability to quickly search through and browse through these videos. The key frame extraction is an essential technology of video retrieval and has a great impact on retrieval efficiency by reducing the redundant information. In this paper we analyses the performance of simple Edge Change Ratio (ECR) method, color histogram method and distance based methods for key frame extraction in surveillance applications. Keywords— Video Surveillance, Key frame Extraction, Color Histogram, Edge Change Ratio.
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تاریخ انتشار 2014