Please use this identifier to cite or link to this item: https://doi.org/10.1109/ICME.2009.5202546
Title: Video text detection based on filters and edge features
Authors: Shivakumara, P. 
Trung, Q.P. 
Chew, L.T. 
Keywords: Canny edge profiles
Edge features
Initial text block detection
Text detection
Text portion segmentation
Issue Date: 2009
Source: Shivakumara, P.,Trung, Q.P.,Chew, L.T. (2009). Video text detection based on filters and edge features. Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009 : 514-517. ScholarBank@NUS Repository. https://doi.org/10.1109/ICME.2009.5202546
Abstract: 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. ©2009 IEEE.
Source Title: Proceedings - 2009 IEEE International Conference on Multimedia and Expo, ICME 2009
URI: http://scholarbank.nus.edu.sg/handle/10635/42052
ISBN: 9781424442911
DOI: 10.1109/ICME.2009.5202546
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