Video Summarization Using Genetic Algorithm and Information Theory
سال انتشار: 1388
نوع سند: مقاله کنفرانسی
زبان: انگلیسی
مشاهده: 1,788
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شناسه ملی سند علمی:
CSICC14_061
تاریخ نمایه سازی: 24 خرداد 1388
چکیده مقاله:
Video processing techniques based on pattern recognition methods and machine vision is one of the interesting research fields which attract many researchers. In this paper, we proposed a novel method for video summarization using genetic algorithm based on information theory. Our method relies on the mutual information for video summarization. The information theory measure provides us with better results because it extracts the inter-frame information. We present that it is a suitable factor for summarizing video, which maintains its integrity.
نویسندگان
Zeinab Zeinalpour
Tabrizi Iran University of Science and Technology, Computer Engineering Department, Tehran, Iran
Behrouz Minaei Bidgoli
Iran University of Science and Technology, Computer Engineering Department, Tehran, Iran
Mahmud Fathi
Iran University of Science and Technology, Computer Engineering Department, Tehran, Iran