Please use this identifier to cite or link to this item:
|Title:||Video text detection based on filters and edge features|
|Authors:||Shivakumara, P. |
|Keywords:||Canny edge profiles|
Initial text block detection
Text portion segmentation
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 13, 2017
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.