Conference
Tag Pollution Detection in Web Videos via Cross-Modal Relevance Estimation
Abstract
In the era of big data, web videos are known for their astronomical volume and great difficulties to be understood by computers. Therefore it is challenging to detect and curb tag pollution on social networking platforms. Intuitively, the pollution in the tags of a video can be identified by exploiting the tags of visually similar videos. From this intuition, we develop a semi-supervised approach to estimate the relevance between Internet …
Authors
Chen Y; Lin X; Ge K; He W; Li D
Volume
00
Pagination
pp. 1-10
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Publication Date
June 15, 2020
DOI
10.1109/iwqos49365.2020.9212971
Name of conference
2020 IEEE/ACM 28th International Symposium on Quality of Service (IWQoS)