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Gulshan Saleem, Usama Ijaz Bajwa, Rana Hammad Raza and Fan Zhang
Surveillance video analytics encounters unprecedented challenges in 5G and IoT environments, including complex intra-class variations, short-term and long-term temporal dynamics, and variable video quality. This study introduces Edge-Enhanced TempoFuseNe...
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Jin Peng, Chengming Liu, Haibo Pang, Xiaomeng Gao, Guozhen Cheng and Bing Hao
With the rise of image manipulation techniques, an increasing number of individuals find it easy to manipulate image content. Undoubtedly, this presents a significant challenge to the integrity of multimedia data, thereby fueling the advancement of image...
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Shengyu Shen, Jiasheng Chen, Shaoyi Zhang, Dongbing Cheng, Zhigang Wang and Tong Zhang
Benggang is a typical erosional landform in southern and southeastern China. Since benggang poses significant risks to local ecological environments and economic infrastructure, it is vital to accurately detect benggang-eroded areas. Relying only on remo...
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Wentong Wang, Lichun Wang, Xufei Ge, Jinghua Li and Baocai Yin
This paper can be applied to an autonomous vehicle and driving assistance system.
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Xiao Wu and Qingge Ji
Modeling spatiotemporal representations is one of the most essential yet challenging issues in video action recognition. Existing methods lack the capacity to accurately model either the correlations between spatial and temporal features or the global te...
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Sandeli Priyanwada Kasthuri Arachchi, Timothy K. Shih and Noorkholis Luthfil Hakim
Video classification is an essential process for analyzing the pervasive semantic information of video content in computer vision. Traditional hand-crafted features are insufficient when classifying complex video information due to the similarity of visu...
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Weihuang Liu, Jinhao Qian, Zengwei Yao, Xintao Jiao and Jiahui Pan
Road traffic accidents caused by fatigue driving are common causes of human casualties. In this paper, we present a driver fatigue detection algorithm using two-stream network models with multi-facial features. The algorithm consists of four parts: (1) P...
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Yu-Pin Lin, Wei-Chih Lin and Wei-Yao Wu
Species distribution models (SDMs) are extensively used to project habitat suitability of species in stream ecological studies. Owing to complex sources of uncertainty, such models may yield projections with varying degrees of uncertainty. To better unde...
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