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Published in:
2016 | OriginalPaper | Chapter
Comparative Performance Study of Various Content Based Image Retrieval Methods
Authors : Rushabh Shah, Jeetendra Vaghela, Khyati Surve, Rutvi Shah, Priyanka Sharma, Rasendu Mishra, Ajay Patel, Rajan Datt
Published in: Proceedings of First International Conference on Information and Communication Technology for Intelligent Systems: Volume 1
Publisher: Springer International Publishing
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Abstract
With the increase in the data storage and data acquisition technologies there is an increase in huge image database. Therefore we need to develop proper and accurate systems to manage this database. Here in this paper we focus on the transformation technique to search, browse and retrieve images from large database. Here we have discussed briefly about the CBIR technique for image retrieval using Discrete Cosine Transform for generating feature vector. We have researched on the different retrieval algorithms. The proposed work is experimented over 9000 images from MIRFLIKR Database (Huskies ACM International Conference on Multimedia Information Retrieval (MIR’08), 2008 [1]). We have focused on showing the difference between the precision and recall and also the time of different methods and its performance by querying an image from the database and a non-database image.