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

INEPT

書目名稱Digital TV and Wireless Multimedia Communications影響因子(影響力)




書目名稱Digital TV and Wireless Multimedia Communications影響因子(影響力)學科排名




書目名稱Digital TV and Wireless Multimedia Communications網(wǎng)絡公開度




書目名稱Digital TV and Wireless Multimedia Communications網(wǎng)絡公開度學科排名




書目名稱Digital TV and Wireless Multimedia Communications被引頻次




書目名稱Digital TV and Wireless Multimedia Communications被引頻次學科排名




書目名稱Digital TV and Wireless Multimedia Communications年度引用




書目名稱Digital TV and Wireless Multimedia Communications年度引用學科排名




書目名稱Digital TV and Wireless Multimedia Communications讀者反饋




書目名稱Digital TV and Wireless Multimedia Communications讀者反饋學科排名

Outshine

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花費

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

蒼白

哀悼

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

哀悼

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

Gudgeon

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.

2否定

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.

認識

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.