The rapid development of scene text detection shows us the need for text recognition in a
scene image. Road signs recognition, reading the scene image for machine translation, text …

Detecting dense text in scene images is a challenging task due to the high variability,
complexity, and overlapping of text areas. To adequately distinguish text instances with high …

Recently fast arbitrary-shaped text detection has become an attractive research topic.
However, most existing methods are non-real-time, which may fall short in intelligent …

With the advent of smart cities, the text information in an image can be accurately located
and recognized, and then applied to the fields of instant translation, image retrieval, card …

In today's real world, an important research part in image processing is scene text detection
and recognition. Scene text can be in different languages, fonts, sizes, colours, orientations …

With the advent of the era of artificial intelligence, text detection is widely used in the real
world. In text detection, due to the limitation of the receptive field of the neural network, most …

Tire burst of vehicles is one of the main causes of highway accidents. Furthermore, tire aging
is the most important cause of tire burst. It will be of great significance to traffic safety …

Recently, various object detection frameworks have been applied to text detection tasks and
have achieved good performance in the final detection. With the further expansion of text …

Dynamic texts in scene videos provide valuable insights and semantic cues crucial for video
applications. However, the movement of this text presents unique challenges, such as blur …

This paper proposes a novel scrolling-text detection method that uses spatiotemporal
directional coherence for frame rate up-conversion. Spatiotemporal directional coherence is …