Revisiting the experiment on Content Based Image Retrieval System Using Aliveness Detection

Vol.7 No.2

Year: 2012

Issue: October-December

Title: Revisiting the experiment on Content Based Image Retrieval System Using Aliveness Detection   

Author Name: Dwarkoba Gaikwad   

Synopsis: 

The internet technology is increasing rapidly in the society and industry. In information technology, the people are searching information based on text and images. There are many techniques to extract the required information from the raw data which is in the form of text and images. There are many information searching engines such as Google which mostly use the text-based retrieval techniques. The text based retrieval is used for getting the text information only. But if you want the information in text and image form, then only text based information is not efficient. In the recent years, content based image retrieval techniques have been proposed to search the text and image collectively. Due to its importance in information technology, we have discussed all aspects regarding Content Based Image Retrieval in detail. The objective of this paper is to study the different existing Content Based Image Retrieval techniques and their applications. Our findings are based on reviews of the relevant literature survey which will be very useful for a researcher who is new in Content Based Image Retrieval techniques. We also have presented the content based image retrieval system which is developed at our site. The system is based on similarity measurement of color histograms of image. We have used our own image database of college annual gathering and Engineering Today 2011 technical event for testing the system. We found that the system works properly and gives excellent results. The algorithm is suggested by extending the same experiment which can help for making album.