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Title: :  CBIR Systems Based Approaches for Improving Computational Efficiency
PaperId: :  13585
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 4 Issue 1 2018
DUI:    16.0415/IJARIIE-13585
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Narahari DudikiResearch Scholar of Sri Satya Sai University
Dr. Santanu SikdarResearch Supervisor of Sri Satya University

Abstract

Computer Science & Engineering
CBIR Systems, Improving Computational Efficiency, multi-combination approach, natural image databases, Content-based image retrieval
The current work additionally centers on the chance of integrating tone and edge information with the interest-point based invariant descriptors in the production of visual bags for improving the retrieval performance in natural image databases. For this, a multi-combination approach is embraced, in which, the edge-shading features of the images are joined through early combination for making the vocabulary of visual words. The image histogram worked with the resultant vocabulary is then joined with histogram developed with vocabulary of invariant features through late combination to portray the image. The joining of extra information helps in giving a superior portrayal of the images and helps in improving the retrieval performance. Also, for multi-query CBIR frameworks, another feature swap algorithm is proposed for similarity computation that can offer better retrieval results without query refinement or feature reweighting. The algorithm decides the similarity among query and target images in the database by processing the total amount of the removals of the query-set images' centroid brought about by supplanting every component in the query image set with the up-and-comer images in the database; subsequently successfully amassing the dissimilarity between the images in query-set and the target dataset images. Content-based image retrieval is against customary idea based methodologies. "Content-based" implies that the hunt examines the contents of the image as opposed to the metadata, for example, keywords, labels, or portrayals related with the image.

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IJARIIE Narahari Dudiki, and Dr. Santanu Sikdar. "CBIR Systems Based Approaches for Improving Computational Efficiency" International Journal Of Advance Research And Innovative Ideas In Education Volume 4 Issue 1 2018 Page 1201-1209
MLA Narahari Dudiki, and Dr. Santanu Sikdar. "CBIR Systems Based Approaches for Improving Computational Efficiency." International Journal Of Advance Research And Innovative Ideas In Education 4.1(2018) : 1201-1209.
APA Narahari Dudiki, & Dr. Santanu Sikdar. (2018). CBIR Systems Based Approaches for Improving Computational Efficiency. International Journal Of Advance Research And Innovative Ideas In Education, 4(1), 1201-1209.
Chicago Narahari Dudiki, and Dr. Santanu Sikdar. "CBIR Systems Based Approaches for Improving Computational Efficiency." International Journal Of Advance Research And Innovative Ideas In Education 4, no. 1 (2018) : 1201-1209.
Oxford Narahari Dudiki, and Dr. Santanu Sikdar. 'CBIR Systems Based Approaches for Improving Computational Efficiency', International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 1, 2018, p. 1201-1209. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/CBIR_Systems_Based_Approaches_for_Improving_Computational_Efficiency_ijariie13585.pdf (Accessed : 10 February 2021).
Harvard Narahari Dudiki, and Dr. Santanu Sikdar. (2018) 'CBIR Systems Based Approaches for Improving Computational Efficiency', International Journal Of Advance Research And Innovative Ideas In Education, 4(1), pp. 1201-1209IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/CBIR_Systems_Based_Approaches_for_Improving_Computational_Efficiency_ijariie13585.pdf (Accessed : 10 February 2021)
IEEE Narahari Dudiki, and Dr. Santanu Sikdar, "CBIR Systems Based Approaches for Improving Computational Efficiency," International Journal Of Advance Research And Innovative Ideas In Education, vol. 4, no. 1, pp. 1201-1209, Jan-Feb 2018. [Online]. Available: https://ijariie.com/AdminUploadPdf/CBIR_Systems_Based_Approaches_for_Improving_Computational_Efficiency_ijariie13585.pdf [Accessed : 10 February 2021].
Turabian Narahari Dudiki, and Dr. Santanu Sikdar. "CBIR Systems Based Approaches for Improving Computational Efficiency." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 4 number 1 (10 February 2021).
Vancouver Narahari Dudiki, and Dr. Santanu Sikdar. CBIR Systems Based Approaches for Improving Computational Efficiency. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2018 [Cited : 10 February 2021]; 4(1) : 1201-1209. Available from: https://ijariie.com/AdminUploadPdf/CBIR_Systems_Based_Approaches_for_Improving_Computational_Efficiency_ijariie13585.pdf
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