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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