Image Retrievals based on Statistical Modeling and Cosine Similarity
Anuradha Padala1, Yarramalle Srinivas2, M. H. M. Krishna Prasad3
1Padala Anuradha, Department of Computer Science Engineering, GITAM (Deemed to be University), Visakhapatnam (A.P), India.
2Yarramalle Srinivas, Department of Information Technology, GITAM (Deemed to be University), Visakhapatnam (A.P), India.
3M.H.M Krishna Prasad, Department of Computer Science Engineering, JNT University, Kakinada Visakhapatnam (A.P), India.
Manuscript received on 18 June 2019 | Revised Manuscript received on 25 June 2019 | Manuscript published on 30 June 2019 | PP: 383-388 | Volume-8 Issue-5, June 2019 | Retrieval Number: E7130068519/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The technological evolution encompassed drastic updates in the field of technology and communication. This technological updates have facilitated to pool variety of data ranging from text to videos. Therefore a repository of data is built indirectly and mining from these heterogeneous groups relevant information is a challenging task. This article addresses the concept of retrieving the images using statistical approaches together with cosine similarity.
Keywords: Image Retrieval, Unstructured Data, Technological Evolution, Cosine Similarity, And Statistical Model.
Scope of the Article: Image Processing