Automatic Caption Localization in Compressed Video
IEEE Transactions on Pattern Analysis and Machine Intelligence
Digital Image Processing
Text Detection in Images Based on Unsupervised Classification of Edge-based Features
ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
Extraction of Text Objects in Video Documents: Recent Progress
DAS '08 Proceedings of the 2008 The Eighth IAPR International Workshop on Document Analysis Systems
Fast and robust text detection in images and video frames
Image and Vision Computing
A robust video text detection approach using SVM
Expert Systems with Applications: An International Journal
A phase-based approach for caption detection in videos
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part II
A framework for improved video text detection and recognition
Multimedia Tools and Applications
Transform invariant text extraction
The Visual Computer: International Journal of Computer Graphics
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Text detection plays a vital role in retrieving and browsing video data efficiently and accurately. In this paper, we propose a method for detecting both graphics and scene text in video images by proposing initial text block identification, text portion segmentation and new edge features for false positive elimination. The heuristic rules based on filters and edge analysis are formed to identify the initial text block and to segment the complete text portion from the image. The new edge features such as straightness and cursiveness are explored to eliminate false positives. To evaluate the performance of the proposed method, we introduce misdetection rate and processing time in addition to detection rate and false positive rate. The experimental results show that the proposed method outperforms existing methods in terms of the above metrics.