The images are used as a prime factor of communication on an effective scale. Hence the need of efficient and effective tools for retrieval of query images from database is increased significantly. CBIR is a technique for retrieving images on the basis of automatically-derived features such as color, texture and shape. Feature extraction used is a technique to extract feature vectors of an image based on color, shape, texture etc. which is generally known as image data. In this paper, cloud based CBIR SaaS architecture is proposed due to which the services of CBIR will be dynamically made available throughout the desired systems resulting in increase in applications scalability, flexibility and availability.

1. A. Smeulders, M. Worring, S. Santini, A. Gupta and R. Jain (2000), "Content-based image retrieval at the end of the early years", in IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 22, 1349–1380, December 2000.
2. Yogita Mistry and D. T. Ingole, "Survey on Content Based Image Retrieval Systems" in International Journal of Innovative Research in Computer and Communication Engineering (IJIRCCE), Vol. 1, October 2013.
3. Zhuo YANG, Sei-ichiro KAMATA and Alireza AHRARY, "NIR: Content Based Image Retrieval on Cloud Computing" in IEEE International Conference on Intelligent Computing and Intelligent Systems, 2009.
4. Zainab Ibrahim Abood, Israa Jameel Muhsin, Nabeel Jameel Tawfiq, "Content-based Image Retrieval (CBIR) using Hybrid Technique" in International Journal of Computer Applications (0975 – 8887), December 2013.
5. H B Kekre, V A Bharadi, S D Thepade, B K Mishra, S E Ghosalkar, S M Sawant, "Content Based Image Retrieval Using Fusion of Gabor Magnitude and Modified Block Truncation Coding" in IEEE computer society, 2010.
6. Ja-Hwung Su, Wei-Jyun Huang, Philip S. Yu and Vincent S. Tseng, "Efficient Relevance Feedback for Content-Based Image Retrieval by Mining User Navigation Patterns", in IEEE Transactions On Knowledge And Data Engineering, Vol. 23, No. 3, 1041-4347/11, March 2011.
7. Arti Khaparde, B L Deekshatulu, M. Madhavilatha, Zakira Farheen, Sandhya Kumari, "Content Based Image Retrieval Using Independent Component Analysis" in IJCSNS International Journal of Computer Science and Network Security, VOL. 8 No. 4, April 2008.
8. S. Selvarajah and S. R. Kodithuwakku "Combined Feature Descriptor for Content Based Image Retrieval", 2011 6th International Conferencon Industrial and Information Systems, ICIIS 2011, Aug. 16-19, 2011, Sri Lanka, IEEE.
9. M. Arevalillo-Herr´aez, Francesc J. Ferri, Salvador Moreno-Picot, "An interactive evolutionary approach for content based image retrieval", in Proceedings of IEEE International Conference on Systems, Man, and Cybernetics, San Antonio, TX, USA - October 2009.
10. A R Sawant, V A Bharadi, H B Kekre, Bijith Markarkandy, "Implementation of Content based Image Retrieval and Comparison using Different Distance Measures" in IJAIS – ISSN : 2249-0868 Foundation of Computer Science FCS, New York, USA, (ICWAC) 2013.
11. Cloud Service: http://azure. microsoft. com/en-us/documentation/articles/cloud-services-what-is/
12. Azure Storage: http://azure. microsoft. com/en-in/documentation/articles/storage-introduction/
13. Blob Storage: http://azure. microsoft. com/en-us/documentation/articles/storage-dotnet-how-to-use-blobs/

Content Based Image Retrieval (CBIR) Web Role Blob Storage.