Title: A Survey on Semantic Image Retrieval for Bigdata

Author(s): Ms.N.N.Deepika 1, Dr. R. Madhumitha 2


1Department of Computer Science and Engineering

Sri Krishna College of Engineering and Technology

Coimbatore, India

1This email address is being protected from spambots. You need JavaScript enabled to view it.

2Department of Computer Science and Engineering

Sri Krishna College of Engineering and Technology

Coimbatore, India

2This email address is being protected from spambots. You need JavaScript enabled to view it.

             


Abstract

From last few years, there is an enormous growth in size of digital image collections. Every day, millions of images are being generated, in that semantic Image retrieval is the most complex process in the real time scenario where the similarity finding would be more difficult in case of larger homogeneous image contents. In Semantic based image retrieval, the weight adjustment scheme is used to give the high priority for the contents which are semantically more related. However, the weight adjustment scheme doesn’t care about the user feedback which might reduce the user satisfaction level. In this survey, homogeneous image data is retrieved by the proposed fuzzy logic based feedback weight adjustment scheme which will increase the score of the class which is more preferred by the users.


License: This work is licensed under a Creative Commons Attribution 4.0 International License.

 

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