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Development of Framework for Text Extraction from Videos


Affiliations
1 VIIT, Pune-4, India
2 NBN Sinhgad School of Engineering, Pune, India
     

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Video text provides important and meaningful information about video content which is helpful for many applications like automatic annotation of video and images, indexing etc. The problem of automatic extraction of text from the video is a difficult task because of the variations in text style, font, size, line orientation and also because of complex background. Text extraction problem has been addressed by various methods. The aim of this paper is to propose a framework for extracting text from a video using Java platform. This framework performs preprocessing, detection and recognition. Preprocessing involves converting frames into gray scale, blurring and binarization. Detection includes localization and segmentation, and recognition is done by template matching. This framework can be applied for multiple languages.


Keywords

Image Processing, Text Extraction, Text Localization, Segmentation, Text In Video.
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  • Development of Framework for Text Extraction from Videos

Abstract Views: 232  |  PDF Views: 3

Authors

Shweta A. Tiwaskar
VIIT, Pune-4, India
Pallavi R. Rege
VIIT, Pune-4, India
Rajesh S. Prasad
NBN Sinhgad School of Engineering, Pune, India

Abstract


Video text provides important and meaningful information about video content which is helpful for many applications like automatic annotation of video and images, indexing etc. The problem of automatic extraction of text from the video is a difficult task because of the variations in text style, font, size, line orientation and also because of complex background. Text extraction problem has been addressed by various methods. The aim of this paper is to propose a framework for extracting text from a video using Java platform. This framework performs preprocessing, detection and recognition. Preprocessing involves converting frames into gray scale, blurring and binarization. Detection includes localization and segmentation, and recognition is done by template matching. This framework can be applied for multiple languages.


Keywords


Image Processing, Text Extraction, Text Localization, Segmentation, Text In Video.