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Titlebook: Digital TV and Wireless Multimedia Communications; 18th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2022 Sp

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书目名称Digital TV and Wireless Multimedia Communications
副标题18th International F
编辑Guangtao Zhai,Jun Zhou,Xiaokang Yang
视频videohttp://file.papertrans.cn/280/279741/279741.mp4
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Digital TV and Wireless Multimedia Communications; 18th International F Guangtao Zhai,Jun Zhou,Xiaokang Yang Conference proceedings 2022 Sp
描述This book presents revised selected papers from the 18th International Forum on Digital TV and Wireless Multimedia Communication, IFTC 2021, held in Shanghai, China, in December 2021..The 41 papers presented in this volume were carefully reviewed and selected from 110 submissions. They were organized in topical sections on image analysis; quality assessment; target detection; video processing; big data. .
出版日期Conference proceedings 2022
关键词artificial intelligence; communication systems; computer networks; computer security; computer systems; c
版次1
doihttps://doi.org/10.1007/978-981-19-2266-4
isbn_softcover978-981-19-2265-7
isbn_ebook978-981-19-2266-4Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer Nature Singapore Pte Ltd. 2022
The information of publication is updating

书目名称Digital TV and Wireless Multimedia Communications影响因子(影响力)




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书目名称Digital TV and Wireless Multimedia Communications被引频次学科排名




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书目名称Digital TV and Wireless Multimedia Communications年度引用学科排名




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Automatic Detection of Obstructive Sleep Apnea Based on Multimodal Imaging System and Binary Code Al present. Our method achieves the satisfactory performance with accuracy, precision, recall and F1 of 91.38., 96.15., 86.21., and 90.91., respectively. This indicates that the proposed multimodal imaging system coupled with binary code alignment has a potential for non-contact and automatic detectio
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A CNN-Based Quality Assessment Method for Pseudo 4K Contentsal neural network (CNN) is adopted to extract the quality-aware features of three representative patches. Specifically, we extract different levels of features from intermediate layers of CNN and concatenate them into a more effective quality-aware feature representation. Finally, the shallow fully
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Reduced Reference Quality Assessment of Screen Content Images Rooted in Primitive Based Free-Energy uman perception of the visual scene taking account of the unique properties of SCIs and the structure of primitives (atoms in the dictionary). The difference of the prediction discrepancies between the pristine and distorted images is defined as a measurement of the image quality. Experimental resul
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https://doi.org/10.1007/978-3-322-84404-0 purpose of this method is to ensure the correct correspondence with the type of equipment and assets according to the standard rules of technical object types of the state grid. FastText has a good classification accuracy, and so far, the method has achieved good results in the automotive category.
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https://doi.org/10.1007/978-3-322-84404-0the coarse prediction. Finally, a score map and refined location prediction are generated on the aligned feature map. Experimental results on the publicly available SAR image dataset SSDD demonstrate the effectiveness of the proposed method.
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https://doi.org/10.1007/978-3-322-84404-0ks. The experimental tests on real datasets exhibit prominent performance of community detection of the proposed method. The obtained coalitions from actual brain functional networks indicate the application value of the method in neuroscience.
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