NED University Journal of Research
ISSN 2304-716X
E-ISSN 2706-5758




A FUZZY LOGIC BASED TEXT TRACKING METHOD

Author(s): Samabia Tehsin1, Sumaira Kausar2
1 Senior Assistant Professor, Department of Computer Science, Bahria University, Islamabad Campus, Pakistan, Ph. +92(0)51-9260002, Fax: +92(0)51-9260885, Email: stehseen.buic@bahria.edu.pk.

2 Assistant Professor, Department of Computer Science, Bahria University, Islamabad Campus, Pakistan, Ph. +92(0)51-9260002, Fax: +92(0)51-9260885, Email: sumairakausar.buic@bahria.edu.pk.

Volume: XV

No. 4

Pages: 107 - 116

Date: September 2018

Abstract:
Video text can play a vital role in content-based video indexing, retrieval and analysis. Text tracking can speed up the text extraction process for videos. A methodology for text tracking approach is proposed in this paper for efficient multimedia indexing and retrieval. The method employs fuzzy logic based text tracking for videos. Single output rule-based fuzzy inference engine was applied on multiple inputs for text tracking. The analysis of a diverse dataset indicated that the proposed method can be successfully applied for text tracking in videos.

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