The intelligent analysis of video data is currently in wide demand because a video is a major
source of sensory data in our lives. Text is a prominent and direct source of information in …

Perceiving text is crucial to understand semantics of outdoor scenes and hence is a critical
requirement to build intelligent systems for driver assistance and self-driving. Most of the …

Most existing video text spotting benchmarks focus on evaluating a single language and
scenario with limited data. In this work, we introduce a large-scale, Bilingual, Open World …

Recent video text spotting methods usually require the three-staged pipeline, ie, detecting
text in individual images, recognizing localized text, tracking text streams with post …

Currently, video text spotting tasks usually fall into the four-staged pipeline: detecting text
regions in individual images, recognizing localized text regions frame-wisely, tracking text …

Video text extraction plays an important role for multimedia understanding and retrieval.
Most previous research efforts are conducted within individual frames. A few of recent …

Recently, video text detection, tracking, and recognition in natural scenes are becoming very
popular in the computer vision community. However, most existing algorithms and …

Scene text recognition has been a hot topic in computer vision. Recent methods adopt the
attention mechanism for sequence prediction which achieve convincing results. However …

The technological advancement and sophistication in cameras and gadgets prompt
researchers to have focus on image analysis and text understanding. The deep learning …

Video text spotting is still an important research topic due to its various real-applications.
Previous approaches usually fall into the four-staged pipeline: text detection in individual …