Google scholar arxiv informatics ads IJAIS publications are indexed with Google Scholar, NASA ADS, Informatics et. al.

Call for Paper


August Edition 2021

International Journal of Applied Information Systems solicits high quality original research papers for the August 2021 Edition of the journal. The last date of research paper submission is July 15, 2021.

Cloud based CBIR SaaS Model using Hybrid Wavelet Type I & Type II based Texture Feature Extraction

Vinayak A. Bharadi, Krunali V. Vartak, Mamta Meena Published in Distributed Systems

IJAIS Proceedings on International Conference on Communication Computing and Virtualization
Year of Publication: 2016
© 2015 by IJAIS Journal
Download full text
  1. Vinayak A Bharadi, Krunali V Vartak and Mamta Meena. Article: Cloud based CBIR SaaS Model using Hybrid Wavelet Type I & Type II based Texture Feature Extraction. IJAIS Proceedings on International Conference on Communication Computing and Virtualization ICCCV 2016(1):21-27, July 2016. BibTeX

    	author = "Vinayak A. Bharadi and Krunali V. Vartak and Mamta Meena",
    	title = "Article: Cloud based CBIR SaaS Model using Hybrid Wavelet Type I & Type II based Texture Feature Extraction",
    	journal = "IJAIS Proceedings on International Conference on Communication Computing and Virtualization",
    	year = 2016,
    	volume = "ICCCV 2016",
    	number = 1,
    	pages = "21-27",
    	month = "July",
    	note = "Published by Foundation of Computer Science, New York, USA"


Content Based Image Retrieval (CBIR) is a technique used for efficient retrieval of relevant images from large databases based on features extracted from the image. Image Feature extraction is a method used to extract feature vectors of an image based on color, shape, texture etc. This paper proposes a system that can be used for retrieving images related to query image. Kekre's Hybrid Wavelet Type I & Type II are used for feature extraction. Hybrid Wavelet transforms are generated using orthogonal transforms such as Discrete Cosine transform (DCT), Walsh transform, Haar transform, Hartley transform, Kekre transform in any combination. The feature vectors of the database images are stored and then are compared to the feature vectors of the query image. The image information is sorted in decreasing order of similarity. This paper aims at implementing a CBIR system on cloud due to which services of CBIR will be dynamically made available resulting in increase in applications processing speed, scalability, flexibility and availability. Similarity measures like precision and recall are used for performance evaluation.


  1. Arpit Sameriya, Bhawana Sharma, "Content-Based Image Retrieval using Color Moments, Wavelet Moments & SVM Classifier", International Journal of Digital Application & Contemporary research, Volume 2, Issue 11, June 2014.
  2. Pragati Deole, Rushi Longadge, "Content Based Image Retrieval using Color Feature Extraction with KNN Classification", International Journal of Computer Science and Mobile Computing, Vol. 3 Issue. 5, May- 2014.
  3. M. Braveen, P. Dhavachelvan, "Evaluation of Content Based Image Retrieval Systems Based on Color Feature", International Journal of Recent Trends in Engineering, Vol. 1, No. 2, May 2009
  4. P. Peer and J. Bule, "Building Cloud-based Biometric Services" ,International Journal of Computing and Informatics, vol. 37, pp. 115–122, 2013.
  5. V. N. Gudivada and V. V. Raghavan, "Content-based image retrieval systems", IEEE Computer, 28(9):18–22, 1995.
  6. Cloud Service: http://azure. microsoft. com/en-us/documentation/articles/cloud-services-what-is/
  7. Azure Storage: http://azure. microsoft. com/en-in/documentation/articles/storage-introduction
  8. Blob Storage: http://azure. microsoft. com/en-us/documentation/articles/storage-dotnet-how-to-use-blobs/
  9. H. B. Kekre, Tanuja K. Sarode, Sudeep D. Thepade, "Inception of Hybrid Wavelet Transform using Two Orthogonal Transforms and It's use for Image Compression", International Journal of Computer Science and Information Security, Vol. 9, No. 6, 2011.
  10. H. B. Kekre, Tanuja Sarode, Prachi Natu, "Performance analysis of Hybrid Transform, Hybrid Wavelet and Multi-Resolution Hybrid Wavelet for Image Data Compression", International Journal of Modern Engineering Research, ISSN: 2249– 6645, Vol. 4, Issue 5, May 2014.
  11. H. B. Kekre, Tanuja Sarode, Prachi Natu, "Image Compression Based on Hybrid Wavelet Transform Generated using Orthogonal Component Transforms of Different Sizes", International Journal of Soft Computing and Engineering, ISSN: 2231-2307, Volume-3, Issue-3, July 2013.
  12. Sangita Bharkad and Manesh Kokare, "Hartley Transform Based Fingerprint Matching", Journal of Information Processing Systems, Vol. 8, No. 1, March 2012
  13. Poularikas A. D. "The Hartley Transform" The Handbook of Formulas and Tables for Signal Processing. Ed. Alexander D. Poularikas Boca Raton: CRC Press LLC, 1999.
  14. Zixiang Xiong, Kannan Ramchandran, Michael T. Orchard, and Ya-Qin Zhang, "A Comparative Study of DCT- and Wavelet-Based Image Coding", IEEE Transactions on Circuits and Systems for Video Technology, Vol. 9, No. 5, August 1999.
  15. H. B. Kekre and Dhirendra Mishra, "Sectorization of Full Walsh Transform for Feature Vector Generation in CBIR", International Journal of computer Theory and Engineering, Vol. 3, No. 2, April 2011.


Content Based Image Retrieval (CBIR), Hybrid Wavelet, Cloud Computing, Web Role, Worker Role, Blob storage.