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 …

Text tracking is to track multiple texts in a video, and construct a trajectory for each text.
Existing methods tackle this task by utilizing the tracking-by-detection framework, ie …

The continuous improvement in the level of sports competition has led to many recent
research designs for providing easy and quick ways for athlete training. The aim behind this …

Introduction: As real time data processing is integrated with medical care for traumatic brain
injury (TBI) patients, there is a requirement for devices to have digital output. However, there …

Objective image quality assessment (IQA) aims to predict human judgment on an image's
visual quality. This computational model is applicable in various scenarios, such as …

Photos play a critical role in online shopping. To examine their impact on consumers, most
previous studies rely on human assessments to develop measures for photos. Such an …

Text information extraction from natural scene images is a rising area of research. Since text
in natural scene images generally carries valuable details, detecting and recognizing scene …

One of the main challenging issues in video analysis is the recovery of the original video
frames from the annotated and text marked in the guided user interface (GUI) tool …

In Chap. 3, for a given video, text frames are detected based on edge features and mutual
nearest neighbor symmetry. This chapter deals with the text detection in text frames by …

In the previous chapter, words and characters are segmented from the text lines in video and
natural scene images. In the case of video, one can see two types of texts, namely caption …