Sentence examples similar to text detections from inspiring English sources

In this project, we are focusing on caption text detection and recognition in sports video.

Also we use compressed domain techniques to make the text detection system more efficient.

A novel natural scene text detection method is proposed in this paper.

Text detection in natural scene images is important and challenging work for image analysis.

Scene text detection could be formulated as a bi-label (text and non-text regions) segmentation problem.

Thus, in this paper, we propose a novel scene text detection approach using graph model built upon Maximally Stable Extremal Regions (MSERs) to incorporate various information sources into one framework.

It achieves F-Score at 83.84% on ICDAR 2013 database and 51.15% on the more challenging USTB database, which are superior over several state-of-the-art text detection methods.

SWT method proposed by Epshtein et al. [8] is a region-based text detection method.

In [12, 13], the respective authors treated text detection as a classification problem.

Text detection literature does not directly address the problem of finding correct SWT search direction.

Figure 1 Flowchart of a typical region-based text detection method.