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  Content Based Effective Searching of Images from Large Data Repository  
  Authors : Shine Raj G; Anver Muhammed K M
  Cite as:

 

Image searching is one of the most interesting topics in the coming future. Comparing two images and linear search will take a lot of time. Rather than comparing the images, its better to look for similarity search. Feature extraction and bag of words are the most effective way of searching for similarity of images. We have propsed these two approaches in this paper.

 

Published In : IJCSN Journal Volume 5, Issue 1

Date of Publication : February 2016

Pages : 186-190

Figures :06

Tables : --

Publication Link : Content Based Effective Searching of Images from Large Data Repository

 

 

 

Shine Raj G : is working as Asst. Professor in Computer Science department. He has more than 8 years experience in teaching and has published papers on data mining and image processing. His research interests include image processing, data mining, and image mining

Anver Muhammed K.M : is working as System Administrator in Computer Science department. He has more than 10 years experience in System Administration and Implementation. His research interests include image processing and network security.

 

 

 

 

 

 

 

CBIR

Feature Extraction

Bag of Words

Searching an image from a large image data base takes lot of time. Searching data based on features will gain tremendous amount of gain in time because very few features are stored for each image. Like wise bag of words also store lesser information of each image and hence very effective in searching of image .

 

 

 

 

 

 

 

 

 

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