Automatic location of text in video frames
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ICDAR '05 Proceedings of the Eighth International Conference on Document Analysis and Recognition
An Automatic Video Text Detection, Localization and Extraction Approach
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A novel approach for text detection in images using structural features
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CAIP'05 Proceedings of the 11th international conference on Computer Analysis of Images and Patterns
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ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part II
A new text detection algorithm in images/video frames
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
Performance evaluation of text detection and tracking in video
DAS'06 Proceedings of the 7th international conference on Document Analysis Systems
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Abstract: In this paper, we propose an objective, comprehensive and difficulty-independent performance evaluation protocol for video text detection algorithms. The protocol includes a positive set and a negative set of indices at textbox level, which evaluate the detection quality in terms of both location accuracy and fragmentation of the detected textboxes. In the protocol, we assign a detection difficulty (DD) level to each ground truth textbox. The performance indices can then be normalized with respect to the textbox DD level and are therefore independent of the ground truth difficulty. We also assign a detection importance (DI) level to each ground truth textbox. The overall detection rate is the DI-weighted average of the detection qualities of all ground truth textboxes, which makes the detection rate more accurate to reveal the real performance. The automatic performance evaluation scheme has been applied on a text detection approach to determine the best parameters that can yield the best detection results.