ISSN2456-3315
Impact Factor10.57
UGC CAREApproved
Low Cost₹599 / $45
CrossRefDOI
ESTD2016
Peer ReviewTransparent
AccessOpen
Submission: Always Open
Paper Title
Survey paper on object identification using Mobile Visual Search
Authors
Aaditya Awasthi , Mradul Kasliwal , Aniket Ganbote , Hrushikesh Gulhane , Vina Lomte
Keywords
Mobile Visual Search, Neural Networks, CNN, Optical Character Recognition
Abstract
Mobile Visual Search applications are emerging that enable users to sense their surroundings with smart phones. This study includes that this type of search engine uses techniques of query by example or Image query by example, which use the content, shape, texture and colour of the image to compare them in a database and then deliver the approximate results from the query. In this paper first we propose MVS (Mobile Visual Search). Second we have our basic component neural networks and discuss about the architecture of the model with CNN image classification. Optical Character Recognition, or OCR is used, this method converts a scanned image into text.
Full Paper, Downloads & Preview
How To Cite
Choose the style your journal or department asks for, then copy it. Every version below is generated from this paper's own record.
IJRTI — journal style
"Survey paper on object identification using Mobile Visual Search", IJRTI - International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.5, Issue 5, page no.41 - 43, May-2020, Available :https://ijrti.org/papers/IJRTI2005007.pdf
APA — 7th edition
Awasthi, A., Kasliwal, M., Ganbote, A., Gulhane, H., & Lomte, V. (2020). Survey paper on object identification using Mobile Visual Search. International Journal for Research Trends and Innovation, 5(5), 41 - 43. https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007
MLA — 9th edition
Awasthi, Aaditya, et al. "Survey paper on object identification using Mobile Visual Search." International Journal for Research Trends and Innovation, vol. 5, no. 5, 2020, pp. 41 - 43, https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007.
Chicago — 17th, bibliography
Awasthi, Aaditya, et al. "Survey paper on object identification using Mobile Visual Search." International Journal for Research Trends and Innovation 5, no. 5 (2020): 41 - 43. https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007.
Harvard — author–date
Awasthi, A. et al. (2020) 'Survey paper on object identification using Mobile Visual Search', International Journal for Research Trends and Innovation, 5(5), pp. 41 - 43. Available at: https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007
IEEE — numbered reference
A. Awasthi, M. Kasliwal, A. Ganbote, H. Gulhane and V. Lomte, "Survey paper on object identification using Mobile Visual Search," IJRTI, vol. 5, no. 5, pp. 41 - 43, May. 2020.
Vancouver — biomedical
Awasthi A, Kasliwal M, Ganbote A, Gulhane H, Lomte V. Survey paper on object identification using Mobile Visual Search. IJRTI. 2020 May;5(5):41 - 43.
AMA — 11th edition
Awasthi A, Kasliwal M, Ganbote A, Gulhane H, Lomte V. Survey paper on object identification using Mobile Visual Search. IJRTI. 2020;5(5):41 - 43. Accessed at https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007
BibTeX — Zotero, Mendeley, LaTeX
@article{IJRTI2005007,
author = {Aaditya Awasthi and Mradul Kasliwal and Aniket Ganbote and Hrushikesh Gulhane and Vina Lomte},
title = {Survey paper on object identification using Mobile Visual Search},
journal = {International Journal for Research Trends and Innovation},
volume = {5},
number = {5},
pages = {41 - 43},
year = {2020},
month = {May},
issn = {2456-3315},
url = {https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007}
}
RIS — EndNote, RefWorks
TY - JOUR
AU - Awasthi, Aaditya
AU - Kasliwal, Mradul
AU - Ganbote, Aniket
AU - Gulhane, Hrushikesh
AU - Lomte, Vina
TI - Survey paper on object identification using Mobile Visual Search
T2 - International Journal for Research Trends and Innovation
JA - IJRTI
VL - 5
IS - 5
PY - 2020
SN - 2456-3315
UR - https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007
SP - 41
EP - 43
ER -
Issue
Volume 5 Issue 5,
May-2020
Pages : 41 - 43
Other Publication Details
Paper Reg. ID
IJRTI_181251
Published Paper ID
IJRTI2005007
Downloads
205,629
Research Area
Engineering
Country
-, -, -
Published
May 2020
Published Paper PDF
https://ijrti.org/papers/IJRTI2005007.pdf
Published Paper URL
https://ijrti.org/viewpaperforall.php?paper=IJRTI2005007
About Publisher
International Journal for Research Trends and Innovation
Published by IJRTI (JW Publication)
2456-3315
ISSN
10.57
Impact Factor
2016
ESTD Year
Open
Access
Impact Factor 10.57 calculated by Google Scholar and Semantic Scholar.
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 10.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
UGC CARE Approved Journal — Transparent Peer-reviewed journal aligned with UGC’s 2025 suggestive parameters, with CrossRef DOI registration and Scopus Standard metadata on every published paper.
Licence
© 2020 — Authors hold the copyright of this article.
This work is licensed under a
Creative Commons Attribution 4.0 International License
and The Open Definition.
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0),
which permits unrestricted use, distribution and reproduction in any medium, provided the original author and source are credited.
Disclaimer:
The content, data and findings in this article are based on the authors’ research and have been
peer-reviewed for academic purposes only. Readers are advised to verify all information before practical
or commercial use. The journal and its editorial board are not liable for any errors, losses or
consequences arising from its use.
Declarations
Funding
No external funding was received for this study.
Conflict of Interest
The authors declare that they have no conflict of interest.
Acknowledgements
The authors would like to thank the reviewers and the editorial board of International Journal for Research Trends and Innovation for their careful reading and constructive comments, and all colleagues who supported the preparation of this manuscript.
