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SceneTextReg
2016
Proceedings of the 2016 ACM on Multimedia Conference - MM '16
We showcase a system for real-time video text recognition. The system is based on the standard workflow of text spotting system, which includes text detection and word recognition procedures. We apply deep neural networks in both procedures. In text localization stage, textual candidates are roughly captured by using a Maximally Stable Extremal Regions (MSERs) detector with high recall rate, false alarms are then eliminated by using Convolutional Neural Network (CNN ) verifier. For word
doi:10.1145/2964284.2973811
dblp:conf/mm/YangWBM16
fatcat:7xdaamahp5fujknkuvkxna5b5a