Please use this identifier to cite or link to this item: https://doi.org/10.1145/1815330.1815395
Title: An eigen value based approach for text detection in video
Authors: Guru, D.S.
Manjunath, S.
Shivakumara, P. 
Tan, C.L. 
Keywords: Eigen analysis
K-means clustering
Text localization
Video text detection
Issue Date: 2010
Source: Guru, D.S.,Manjunath, S.,Shivakumara, P.,Tan, C.L. (2010). An eigen value based approach for text detection in video. ACM International Conference Proceeding Series : 501-505. ScholarBank@NUS Repository. https://doi.org/10.1145/1815330.1815395
Abstract: In this paper, a novel approach for detection of text and non-text regions in video frames is proposed. The proposed approach performs block wise eigen analysis on the gradient image of the video frame. For each block of the gradient frame, the dominant eigen value is computed to decide if the block could be a candidate text block. The K-means clustering is then applied to further identify text blocks among the candidate blocks. From each of the identified candidate text blocks edges are extracted using the sobel operator, and then by the use of horizontal and vertical profiles a bounding rectangle is fixed up. Further, geometric properties of the identified text regions are studied to eliminate false text regions. In order to validate the efficacy of the proposed approach, experimentation on a dataset containing 800 video frames has been carried out. The obtained results ensure that the proposed approach is with increased text detection rate with very low false and misdetection rates when compared to the other existing state of the art techniques. Copyright 2010 ACM.
Source Title: ACM International Conference Proceeding Series
URI: http://scholarbank.nus.edu.sg/handle/10635/42114
ISBN: 9781605587738
DOI: 10.1145/1815330.1815395
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

9
checked on Dec 11, 2017

Page view(s)

67
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


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