The history of text can be traced back over thousands of years. Rich and precise semantic
information carried by text is important in a wide range of vision-based application …

This paper analyzes, compares, and contrasts technical challenges, methods, and the
performance of text detection and recognition research in color imagery. It summarizes the …

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 …

Uyghur text localization in images with complex backgrounds is a challenging yet important
task for many applications. Generally, Uyghur characters in images consist of strokes with …

Image captioning, which aims to generate a sentence to describe the key content of a query
image, is an important but challenging task. Existing image captioning approaches can be …

One of the major causes of poor results in license plate recognition is low quality of images
affected by multiple factors, such as severe illumination condition, complex background …

Text in videos usually acts as important semantic cues, which is helpful to video analysis.
Video text detection is considered as one of the most difficult tasks in document analysis due …

Most existing video text detection methods track texts with appearance features, which are
easily influenced by the change of perspective and illumination. Compared with appearance …

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 …

Detection and recognition of text in natural images are two main problems in the field of
computer vision that have a wide variety of applications in analysis of sports videos …