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Xiaoqi Shen, Wenzhong Shi, Zhewei Liu, Anshu Zhang, Lukang Wang and Fanxin Zeng
Human activity area extraction, a popular research topic, refers to mining meaningful location clusters from raw activity data. However, varying densities of large-scale spatial data create a challenge for existing extraction methods. This research propo...
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Anqi Wang, Anshu Zhang, Edwin H. W. Chan, Wenzhong Shi, Xiaolin Zhou and Zhewei Liu
Along with the increase of big data and the advancement of technologies, comprehensive data-driven knowledge of urban systems is becoming more attainable, yet the connection between big-data research and its application e.g., in smart city development, i...
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Zhewei Zhang, Tao Jing, Bowen Ding, Meilin Gao and Xuejing Li
Detecting the Region of Interest (ROI) for video clips is a significant and useful technique both in video codecs and surveillance/monitor systems. In this paper, a new model-based detection method is designed which suits video compression codecs by prop...
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Zhewei Liu, Xiaolin Zhou, Wenzhong Shi and Anshu Zhang
Detecting events using social media data is important for timely emergency response and urban monitoring. Current studies primarily use semantic-based methods, in which “bursts” of certain semantic signals are detected to identify emerging ev...
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