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Tag Based Image Search Using User Re-ranking

S. N. Paraj1

Section:Research Paper, Product Type: Journal Paper
Volume-6 , Issue-7 , Page no. 772-775, Jul-2018

CrossRef-DOI:   https://doi.org/10.26438/ijcse/v6i7.772775

Online published on Jul 31, 2018

Copyright © S. N. Paraj . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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IEEE Style Citation: S. N. Paraj, “Tag Based Image Search Using User Re-ranking,” International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.772-775, 2018.

MLA Style Citation: S. N. Paraj "Tag Based Image Search Using User Re-ranking." International Journal of Computer Sciences and Engineering 6.7 (2018): 772-775.

APA Style Citation: S. N. Paraj, (2018). Tag Based Image Search Using User Re-ranking. International Journal of Computer Sciences and Engineering, 6(7), 772-775.

BibTex Style Citation:
@article{Paraj_2018,
author = {S. N. Paraj},
title = {Tag Based Image Search Using User Re-ranking},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {7 2018},
volume = {6},
Issue = {7},
month = {7},
year = {2018},
issn = {2347-2693},
pages = {772-775},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=2509},
doi = {https://doi.org/10.26438/ijcse/v6i7.772775}
publisher = {IJCSE, Indore, INDIA},
}

RIS Style Citation:
TY - JOUR
DO = {https://doi.org/10.26438/ijcse/v6i7.772775}
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=2509
TI - Tag Based Image Search Using User Re-ranking
T2 - International Journal of Computer Sciences and Engineering
AU - S. N. Paraj
PY - 2018
DA - 2018/07/31
PB - IJCSE, Indore, INDIA
SP - 772-775
IS - 7
VL - 6
SN - 2347-2693
ER -

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Abstract

From the last decades, social media websites are useful to user to upload their photos and videos with tags. The social tagging systems are useful to generate the image search engine. The tag based image search engine is used to find the images which are uploaded by different social users from the social websites like facebook, flickr. The tag based image search (TBIS) by inter and intra user re-ranking is sorting the images according to their view feature, semantic relevance measurement and visual feature. To overcome the tag mismatch and query ambiguity problem the tag based image search system can remove the duplicate images from the same user while sorting the image. To increase the searching speed inverted index structure is constructed. The co-occurrence word set is used in query matching process. The main aim of the system is improve the relevance and diversity of the images.

Key-Words / Index Term

Tag based Image Search (TBIS), Image Search, Tag, View Feature, semantic Feature, Visual Feature

References

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