Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Ahmed S. Kaseb"'
Publikováno v:
IEEE Transactions on Cloud Computing. 9:40-53
There has been tremendous growth in the amount of visual data available on the Internet in recent years. One type of visual data of particular interest is produced by network cameras providing real-time views. Millions of network cameras around the w
Publikováno v:
Proceedings of the 14th International Conference on Agents and Artificial Intelligence.
Publikováno v:
2021 8th International Conference on Soft Computing & Machine Intelligence (ISCMI).
Publikováno v:
2021 3rd Novel Intelligent and Leading Emerging Sciences Conference (NILES).
Malicious software (malware) creators are constantly mutating malware files in order to avoid detection, resulting in hundreds of millions of new malware every year. Therefore, most malware files are unlabeled due to the time and cost needed to label
Publikováno v:
IEEE Transactions on Cloud Computing. 7:935-948
Thousands of network cameras stream real-time visual data for different environments, such as streets, shopping malls, and natural scenes. The big visual data from these cameras can be useful for many applications, but analyzing the large quantities
Autor:
Anup Mohan, Andrew Ulmer, Ahmed S. Kaseb, Arshad Alikhan, Zohar Kapach, Daniel Merrick, George K. Thiruvathukal, Yung-Hsiang Lu
Publikováno v:
IEEE MultiMedia. 26:31-41
Hundreds of millions of network cameras have been installed throughout the world. Each is capable of providing a vast amount of real-time data. Analyzing the massive data generated by these cameras requires significant computational resources and the
Autor:
Ryan Dailey, Sam Yellin, Yung-Hsiang Lu, Fengjian Pan, Chandler Brown, Sam Jenkins, Ahmed S. Kaseb
Publikováno v:
Electronic Imaging. 29:5-12
Autor:
Ryan Dailey, Damini Rijhwani, Yung-Hsiang Lu, Sarah Aghajanzadeh, Ahmed S. Kaseb, Minghao Mina Guo, Yutong Huang, Kent Gauen, George K. Thiruvathukal, Deeptanshu Malik
Millions of network cameras have been deployed worldwide. Real-time data from many network cameras can offer instant views of multiple locations with applications in public safety, transportation management, urban planning, agriculture, forestry, soc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::10fe851e200ee016eedc651d56437333
Publikováno v:
MIPR
Network cameras, a type of surveillance cameras, generate real-time, versatile, and high quality video content that can be used for applications such as public safety and surveillance. Analyzing high frame rate video streams im- poses heavy computing
Autor:
Ryan Dailey, Anup Mohan, Mei-Ling Shyu, Samira Pouyanfar, Yudong Tao, Haiman Tian, Sarah Aghajanzadeh, Shu-Ching Chen, Yung-Hsiang Lu, Kent Gauen, Ahmed S. Kaseb
Publikováno v:
MIPR
Many multimedia systems stream real-time visual data continuously for a wide variety of applications. These systems can produce vast amounts of data, but few studies take advantage of the versatile and real-time data. This paper presents a novel mode