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Abstract
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Article Information:
Copyright Detection System for Videos Using TIRI-DCT Algorithm
S. Nirmal, S. Shivsankar, S.R. Vignesh and Rajiv Vincent
Corresponding Author: S. Nirmal
Submitted: March 18, 2012
Accepted: June 15, 2012
Published: December 15, 2012 |
Abstract:
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The copyright detection system is used to detect whether a video is copyrighted or not by
extracting the features or fingerprints of a video and matching them with fingerprints other videos. The
system is mainly used for copyright applications of multimedia content. The copyright detection system
depends on an algorithm to extract fingerprints which is the TIRI-DCT Algorithm of a video followed by an
approximate search algorithm which is the Inverted File Based Similarity Search. To find whether a video
is copyrighted or not, the query video is taken and the feature values of the video are extracted using the
fingerprint extraction algorithm, it extracts feature values from special images called frames constructed
from the video. Each frame represents a part or a segment of the video and contains both temporal and
spatial information of the video segment. These images are called Temporally Informative Representative
Images (TIRI). The fingerprints of all the videos in the database are extracted and stored in advance. The
approximate search algorithm searches the fingerprints which is stored in the database and produces the
closest matches to the fingerprint of the query video and based on the match the query video is found
whether it is a copyrighted video or not.
Key words: Binarization, DCT coefficients, filter mask, representative images, temporally informative threshold , words,
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Cite this Reference:
S. Nirmal, S. Shivsankar, S.R. Vignesh and Rajiv Vincent, . Copyright Detection System for Videos Using TIRI-DCT Algorithm. Research Journal of Applied Sciences, Engineering and Technology, (24): 5391-5396.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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