Zobrazeno 1 - 10
of 20
pro vyhledávání: '"Zheng, Yudian"'
Live streaming platforms need to store a lot of recorded live videos on a daily basis. An important problem is how to automatically extract highlights (i.e., attractive short video clips) from these massive, long recorded live videos. One approach is
Externí odkaz:
http://arxiv.org/abs/1910.12201
Many data mining tasks cannot be completely addressed by auto- mated processes, such as sentiment analysis and image classification. Crowdsourcing is an effective way to harness the human cognitive ability to process these machine-hard tasks. Thanks
Externí odkaz:
http://arxiv.org/abs/1806.04968
Crowdsourcing employs human workers to solve computer-hard problems, such as data cleaning, entity resolution, and sentiment analysis. When crowdsourcing tabular data, e.g., the attribute values of an entity set, a worker's answers on the different a
Externí odkaz:
http://arxiv.org/abs/1708.02125
Autor:
Zheng, Yudian1 (AUTHOR), Cun, Xiaodong2 (AUTHOR), Xia, Menghan2 (AUTHOR), Pun, Chi‐Man3 (AUTHOR)
Publikováno v:
Computer Graphics Forum. May2024, Vol. 43 Issue 2, p1-11. 11p.
Publikováno v:
Proceedings of the VLDB Endowment; 20240101, Issue: Preprints p594-606, 13p
Publikováno v:
IEEE Transactions on Knowledge & Data Engineering; Apr2022, Vol. 34 Issue 4, p1980-1992, 13p
Publikováno v:
IEEE Transactions on Knowledge & Data Engineering; Nov2020, Vol. 32 Issue 11, p2060-2074, 15p
Publikováno v:
2016 IEEE 32nd International Conference on Data Engineering (ICDE); 2016, p61-72, 12p
Autor:
Li, Guoliang, Chai, Chengliang, Fan, Ju, Weng, Xueping, Li, Jian, Zheng, Yudian, Li, Yuanbing, Yu, Xiang, Zhang, Xiaohang, Yuan, Haitao
Publikováno v:
Proceedings of the VLDB Endowment; August 2018, Vol. 11 Issue: 12 p1926-1929, 4p