GDL

Extracting Text from Video

ISSN : 0976 - 710X
Journal from gdlhub / 2017-08-14 11:52:33
Oleh : Jayshree Ghorpade, Raviraj Palvankar, Ajinkya Patankar and Snehal Rathi, Signal & Image Processing : An International Journal
Dibuat : 2012-06-26, dengan 1 file

Keyword : JMF, Image Processing, Text Extraction, Text Localisation, Segmentation, Text in Video
Subjek : Extracting Text from Video
Url : http://airccse.org/journal/sipij/papers/2211sipij09.pdf
Sumber pengambilan dokumen : Internet

The text data present in images and video contain certain useful information for automatic annotation,


indexing, and structuring of images. However variations of the text due to differences in text style, font,


size, orientation, alignment as well as low image contrast and complex background make the problem of


automatic text extraction extremely difficult and challenging job. A large number of techniques have been


proposed to address this problem and the purpose of this paper is to design algorithms for each phase of


extracting text from a video using java libraries and classes. Here first we frame the input video into


stream of images using the Java Media Framework (JMF) with the input being a real time or a video


from the database. Then we apply pre processing algorithms to convert the image to gray scale and


remove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal.


Then we continue with the algorithms for localization, segmentation and recognition for which we use the


neural network pattern matching technique. The performance of our approach is demonstrated by


presenting experimental results for a set of static images.

Deskripsi Alternatif :

The text data present in images and video contain certain useful information for automatic annotation,


indexing, and structuring of images. However variations of the text due to differences in text style, font,


size, orientation, alignment as well as low image contrast and complex background make the problem of


automatic text extraction extremely difficult and challenging job. A large number of techniques have been


proposed to address this problem and the purpose of this paper is to design algorithms for each phase of


extracting text from a video using java libraries and classes. Here first we frame the input video into


stream of images using the Java Media Framework (JMF) with the input being a real time or a video


from the database. Then we apply pre processing algorithms to convert the image to gray scale and


remove the disturbances like superimposed lines over the text, discontinuity removal, and dot removal.


Then we continue with the algorithms for localization, segmentation and recognition for which we use the


neural network pattern matching technique. The performance of our approach is demonstrated by


presenting experimental results for a set of static images.

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