Please use this identifier to cite or link to this item:
Title: Novel edge features for text frame classification in video
Authors: Shivakumara, P. 
Tan, C.L. 
Issue Date: 2010
Citation: Shivakumara, P.,Tan, C.L. (2010). Novel edge features for text frame classification in video. Proceedings - International Conference on Pattern Recognition : 3191-3194. ScholarBank@NUS Repository.
Abstract: Text frame classification is needed in many applications such as event identification, exact event boundary identification, navigation, video surveillance in multimedia etc. To the best of our knowledge, there are no methods reported solely dedicated to text frame classifications so far. Hence this paper presents a new approach to text frame classification in video based on capturing local observable edge properties of text frames, by virtue of the strong presence of sharp edges, straight appearances of edges and consistent proximity between edges. The approach initially classifies the blocks of the frame into text blocks and non-text blocks. The true text block is then identified among classified text blocks to detect text frames by the proposed features. If the text frame produces one true text block then it is considered as a text frame otherwise a non-text frame. We evaluate the proposed approach on a large database containing both text and non-text frames and publicly available data at two levels, i.e., estimating recall and precision at the block level and the frame level. © 2010 IEEE.
Source Title: Proceedings - International Conference on Pattern Recognition
ISBN: 9780769541099
ISSN: 10514651
DOI: 10.1109/ICPR.2010.781
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.


checked on Feb 20, 2019

Page view(s)

checked on Jan 13, 2019

Google ScholarTM



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.