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Image Retrieval Efficiently Using Search Engine-Visual Intelligence

Authors(4) :-Dr. A. Grace Selvarani, N. Subhashri, M. Vasukipreethy, Vidhusri K. V.

In today's world Internet plays a major role. We have witnessed great interest and a wealth of promise in image retrieval. There are times and situations when we imagine what we desire, but are unable to express in precise wording. Take, for instance, a desire to find the perfect portrait from a collection. In some sense, it may be easier to find such an image by looking through the collection of pictures and making unconscious "matches" than to use textual descriptions that fail to capture the very essence of perfection. Tag Based image search is an important algorithm for retrieving images based on the description given to the images stored in the database. Another algorithm for retrieving images based on the number of times the image has been clicked is the Click Based algorithm. It also includes the count of the view i.e. the number of times the image has been viewed by the user. This count is used for re-ranking the images in order to meet the user requirements. The above algorithms are being used in search engines. There are few disadvantages in terms of time and speed efficiency. We aim at re-ranking images using a hybrid algorithm, which is a combination of tag based and click based algorithms. First images are sorted using tag and click based algorithms where the initial results will be contributed by the social users. Finally retrieval is done by the hybrid algorithm where matrix is constructed with the results obtained from the click and tag based algorithms. These selected images compose the final retrieved results.
Dr. A. Grace Selvarani, N. Subhashri, M. Vasukipreethy, Vidhusri K. V.
Visual Intelligence, Search Engine, NDCG
  1. Xueming Qian, Member, IEEE, Dan Lu, and Xiaoxiao Liu, "Tag Based Image Search by Social Re –ranking", IEEE Transactions on Multimedia, (Volume: 18, Issue: 8, Aug. 2016)
  2. Xiaopeng Yang, Tao Mei, Senior Member, IEEE, Yongdong Zhang, Senior Member, IEEE, Jie Liu, and Shin’chi Satoh, Member, IEEE,"  Web Image Search Re-Ranking With Click-Based Similarity and Typicality" , IEEE Transactions On Image Processing, Vol. 25, No. 10, October 2016
  3. Begüm Demir, Member, IEEE, and Lorenzo Bruzzone, Fellow, IEEE, "Hashing-Based Scalable Remote Sensing Image Search and Retrieval in Large Archives", IEEE Transactions on Geoscience And Remote Sensing, Volume: 54, Issue: 2, Feb. 2016
  4. G. Agrawal, R. Chaudhary,"Relevancy tag ranking", In Computer and Communication Technology, pp. 169-173, IEEE, 2011.
Publication Details
  Published in : Volume 3 | Issue 3 | March-April 2017
  Date of Publication : 2017-04-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 150-153
Manuscript Number : IJSRST173339
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Dr. A. Grace Selvarani, N. Subhashri, M. Vasukipreethy, Vidhusri K. V., "Image Retrieval Efficiently Using Search Engine-Visual Intelligence", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 3, pp.150-153, March-April-2017.
Journal URL : http://ijsrst.com/IJSRST173339

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