توجه: محتویات این صفحه به صورت خودکار پردازش شده و مقاله‌های نویسندگانی با تشابه اسمی، همگی در بخش یکسان نمایش داده می‌شوند.
۱Event Detection and Automatic Summarization in Soccer Video
نویسنده(ها): ،
اطلاعات انتشار: چهارمین کنفرانس ماشین بینایی و پردازش تصویر، سال
تعداد صفحات: ۵
In this paper we propose a new complex method for automatic football video summarization, the method we have provided here does the summarizing by tow other methods, one of them do that by detecting the events and other one do that without detecting the events. One of the tools the second method used to do this was distinguishing between the views of the goal and the field–center and the first method used the slow
motion features. Experimental results show the Complex method is more accurate than each of the used methods.<\div>

۲AUTOMATIC QUALITY CONTROL OF FRIED POTATO USING MACHINE VISION
نویسنده(ها): ،
اطلاعات انتشار: اولین کنگره مشترک سیستم های فازی و سیستم های هوشمند، سال
تعداد صفحات: ۴
Frying of potatoes causes some changes in their microstructures. By studying these changes we have presented quite suitable features for automatic analysis of microscopic images taken from fried potatoes, and have also introduced a new mechanism based on machine vision for automatic quality control of fried potatoes. Experimental results show that the presented structure may well be used for controlling the quality of related products.<\div>

۳An Economic Dataset for OPEC Oil Economic Functions
نویسنده(ها): ،
اطلاعات انتشار: Majlesi Journal of Energy Management، سوم،شماره۳، Sep ۲۰۱۴، سال
تعداد صفحات: ۸
In this paper, an economic dataset is proposed for organization of petroleum exporting countries (OPEC) oil studies. The proposed dataset can be used for estimation tasks of various OPEC oil functions such as price function prediction, demand function estimation etc. The economic parameters of the proposed dataset include inflation rate, interest rate, OPEC oil production level, silver price, gold price, market index and U.S. dollar index. Forecasting OPEC oil functions is vital for decision making in energy management. Hence the proposed dataset can be applied in various energy management–based application domains. In Experimental Results Section, we apply artificial neural networks (ANNs) for oil price prediction. The numerical results show the proposed economic parameters can be effectively used for data–mining in OPEC oil parameters.
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