Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/72162
Title: Video-text extraction and recognition
Authors: Chen, T.B.
Ghosh, D.
Ranganath, S. 
Issue Date: 2004
Source: Chen, T.B.,Ghosh, D.,Ranganath, S. (2004). Video-text extraction and recognition. IEEE Region 10 Annual International Conference, Proceedings/TENCON A : A319-A322. ScholarBank@NUS Repository.
Abstract: The detection and recognition of text from video is an important issue in automated content-based indexing of visual information in video archives. In this paper, we present a comprehensive system for extracting and recognizing artificial text from unconstrained, general-purpose videos. Exploiting the temporal feature of videos, an edge-detection-based text segmentation method is applied only on selective frames for extracting text from a video scene. Subsequently, a combination of techniques including multiple frame integration, gray-scale filtering, entropy-based thresholding and line adjacency graphs is used to enhance the detected text areas. Finally, character recognition is accomplished by using the character side profiles. Results obtained from experiments on uncompressed MPEG-1 video clips demonstrate the effectiveness of our proposed system. © 2004IEEE.
Source Title: IEEE Region 10 Annual International Conference, Proceedings/TENCON
URI: http://scholarbank.nus.edu.sg/handle/10635/72162
Appears in Collections:Staff Publications

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

Page view(s)

19
checked on Dec 9, 2017

Google ScholarTM

Check


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