Detection of Text Marks on Moving Vehicles
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 1
Text detection, localization, and tracking in compressed video
Image Communication
Precise news video text detection/localization based on multiple frames integration
ISCGAV'10 Proceedings of the 10th WSEAS international conference on Signal processing, computational geometry and artificial vision
Robust news video text detection based on edges and line-deletion
WSEAS Transactions on Signal Processing
A robust video text detection approach using SVM
Expert Systems with Applications: An International Journal
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In this paper, a method is proposed for locating horizontal, uniform-colored text in video frames. It was observed that when a row of pixels across such a text region is clustered in perceptually uniform L*a*b* color space, the pixels of one of these clusters would belong to the text strokes. These pixels would appear as a line of short streaks on the row since a typical text region has many vertical and diagonal strokes. The proposed method examines every third row of the image and checks whether this row passes through a horizontal text region. For a given row R, the pixels of R are hierarchically clustered in L*a*b* space and each cluster is tested whether similar-colored pixels in R's vicinity are possibly part of a text region. Candidate text blocks are marked by heuristics using information about the cluster's line of short streaks. The detected text blocks are fused to come up with the text regions. The method was tested on key frames of several video sequences and was able to locate a wide variety of text.