Skip navigation
Please use this identifier to cite or link to this item:
Title: Retrieval of scene image and video frames using date field spotting
Authors: Pratim Roy, Partha
Das A.
Majhi D.
Pal U.
Published in: Proceedings of 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015
Abstract: In this paper, we present a date spotting based information retrieval system for natural scene image and video frames where text appears with complex backgrounds. Text retrieval in such scene/video frames is difficult because of blur, low resolution, background noise, etc. In our proposed framework, a line based date spotting approach using Hidden Markov Model is used to detect the date information in text. Given a text line image, we apply an efficient Bayesian classifier based binarization approach to extract the text components. Next, Pyramid Histogram of Oriented Gradient (PHOG) feature is computed from the binarized image for date-spotting framework. For our experiment, three different date models have been constructed to search similar date information in scene/video text. When tested in a custom dataset of 1104 text lines, our date spotting approach provided encouraging results. © 2015 IEEE.
Citation: Proceedings of 3rd IAPR Asian Conference on Pattern Recognition, ACPR 2015, (2016), 705- 709
Issue Date: 2016
Publisher: Institute of Electrical and Electronics Engineers Inc.
Keywords: Hidden Markov models
Information retrieval
Information retrieval systems
Markov processes
Pattern recognition
Background noise
Bayesian classifier
Binarized images
Complex background
Low resolution
Natural scene images
Pyramid histogram of oriented gradient (PHOG)
Text retrieval
Search engines
ISBN: 9.78148E+12
Author Scopus IDs: 56880478500
Author Affiliations: Roy, P.P., Dept. of CSE, IIT Roorkee, India
Das, A., Dept. of ECE, IEM Kolkata, India
Majhi, D., Dept. of ECE, KGEC Nadia, India
Pal, U., CVPR unit, ISI Kolkata, India
Appears in Collections:Conference Publications [CS]

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

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