2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.DB2019★ 2 cited
Towards Extracting Highlights From Recorded Live Videos: An Implicit Crowdsourcing Approach
Ruochen Jiang, Changbo Qu, Jiannan Wang +2
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…
cs.DB2018
Crowd-Powered Data Mining
Chengliang Chai, Ju Fan, Guoliang Li +2
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 th…
cs.DB2017
T-Crowd: Effective Crowdsourcing for Tabular Data
Caihua Shan, Nikos Mamoulis, Guoliang Li +3
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 at…