NDLI: Graph-based approach to scene text localisation and tracking in videos

Content Provider	IET Digital Library
Author	Kim, Y. G. Koo, H. I.
Abstract	A text localisation and tracking method is presented that finds text-regions in videos and assigns unique IDs to their trajectories. For the goal, a graph-based framework that can work with existing text detection methods is developed. To be precise, graphs are built where vertices are image-level text detection results and edges represent the correspondence scores of the vertices. From these graphs, text-region trajectories by using the graph-cut algorithm are extracted. This approach allows considering false positives and misses, as well as their patch-based tracking results at the same time, and text trajectories are reliably extracted. Finally, the results are refined by interpolating misses and filtering out false positives. The proposed method is submitted to the International Conference on Document Analysis and Recognition 2015 robust reading competition (video text localisation) and the method showed the best performance in terms of CLEAR MOT metrics and was ranked third place according to VACE metrics among the seven participating methods.
Starting Page	1110
Ending Page	1112
Page Count	3
ISSN	00135194
Volume Number	52
e-ISSN	1350911X
Issue Number	Issue 13, Jun (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/el/52/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/el.2016.1008
Journal	Electronics Letters
Publisher Date	2016-06-02
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	CLEAR MOT Metrics Combinatorial Mathematics Correspondence Scores Document Processing Technique False Positive Filtering Feature Extraction Filtering Method in Signal Processing Graph Theory Graph Vertices Graph-based Framework Graph-cut Algorithm Image Filtering Image Recognition Image-level Text Detection International Conference on Document Analysis And Recognition 2015 Interpolation Interpolation And Function Approximation Natural Scenes Numerical Analysis Object Tracking Patch-based Tracking Scene Text Localisation Scene Text Tracking Text Analysis Text Detection Text-region Trajectories Unique ID Assignment VACE Metrics Video Signal Processing Video Text Localisation
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

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