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دسته بندی:
داده های بزرگ - big data
سال انتشار:
2018
عنوان انگلیسی مقاله:
Video big data in smart city: Background construction and optimization for surveillance video processing
ترجمه فارسی عنوان مقاله:
داده های بزرگ ویدئویی در شهر هوشمند: ساخت و ساز پیش زمینه و بهینه سازی برای پردازش ویدئو نظارتی
منبع:
Sciencedirect - Elsevier - Future Generation Computer Systems, Corrected proof: doi:10:1016/j:future:2017:12:065
نویسنده:
Ling Tian, Hongyu Wang, Yimin Zhou *, Chengzong Peng
چکیده انگلیسی:
Transforming infrastructures, buildings and services with the sensed data from the Internet of Things
(IoT) technique has drawn wide attention. Enormous video data from city surveillance cameras poses huge
challenges of transmission, storage and analysis, which necessitates new video compression technologies.
The fusion of video data generated from smart city could be used to support city management and urban
policy. Based on the specific characteristics of surveillance video, which are successive pictures have very
strong correlations and each picture can be divided into background and foreground, this work proposes a
block-level background modeling (BBM) algorithm to support long-term reference structure for efficient
surveillance video coding. A rate–distortion optimization for surveillance source (SRDO) algorithm is
also developed to improve the coding performance. Experimental results show that the proposed BBM
and SRDO can significantly improve the compression performance, which can effectively support diverse
video applications in smart city.
Keywords: Smart cities ، Internet of Things ، Video big data ، Data fusion ، Surveillance video processing
قیمت: رایگان
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