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Volume & Issue no: Volume 6, Issue 4, July - August 2017

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Title:
Linear Discriminant Analysis with Genetic Based Support Vector Machines for Image Retrieval in Videos
Author Name:
S.B.Mahalakshmi, Capt.Dr.S.Santhosh baboo
Abstract:
Abstract Retrieval of a Specific image sequence from continuous video databases is one of the most challenging issues in Computer Vision community. As video Databases are growing rapidly in the World Wide Web there are huge numbers of video archives in recent years. To search for an exact image in the large number of video repositories an efficient search and retrieval mechanism is needed. In this paper we use a conventional approach where Feature Extraction the basic is done to extract the features from image and L1-norm based Linear Discriminant Analysis (LDA) is used to classify the features in videos and Genetic based Multiclass Support Vector Machines(SVM) used for learning and retrieval of an image, so that accurate retrieval is ensured. Various Experimental results prove that our retrieval system is effective Keywords: Feature Extraction, L1 based Linear Discriminant Analysis (LDA), Genetic based Support Vector Machines (SVM)
Cite this article:
S.B.Mahalakshmi, Capt.Dr.S.Santhosh baboo , " Linear Discriminant Analysis with Genetic Based Support Vector Machines for Image Retrieval in Videos" , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS) , Volume 6, Issue 4, July - August 2017 , pp. 190-194 , ISSN 2278-6856.
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International Journal of Emerging Trends & Technology in Computer Science (IJETTCS)
ISSN 2278-6856
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