عنوان المقالة:Improving Video Streams Summarization Using Synthetic Noisy Video Data
ندى جاسم حبيب | Nada Al-Musawi | 10602
نوع النشر
مجلة علمية
المؤلفون بالعربي
Nada Jasim Al-Musawi, Saad Talib Hasson
الملخص العربي
For monitoring public domains, surveillance camera systems are used. Reviewing and processing any subsequences from large amount of raw video streams is time and space consuming. Many efficient approaches of video summarization were proposed to reduce the amount of irrelevant information. Most of these approaches do not take into consideration the illumination or lighting changes that cause noise in video sequences. In this work, video summarization algorithm for video streams has been proposed using Histogram of Oriented Gradient and Correlation coefficients techniques. This algorithm has been applied on the proposed multi-model dataset which is created by combining the original data and the dynamic synthetic data. This dynamic data is proposed using Random Number Generator function. Experiments on this dataset showed the effectiveness of the proposed algorithm compared with traditional dataset
تاريخ النشر
12/11/2015
الناشر
International Journal of Advanced Computer Science and Applications
رابط الملف
تحميل (271 مرات التحميل)
الكلمات المفتاحية
video summarization; Histogram of Oriented Gradient (HOG); Correlation coefficients (R); key fra
رجوع