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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM14707
Volume:
6 |
6 |
Jun 2022
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Images are generally searched using textual queries. For relevant images to retrieved effectively, they need to properly tagged. Tagging can be done manually or automatically. This paper is a survey on techniques to improve image retrieval experience by computing better tags for images. It also discusses some problems with the current techniques which opens up opportunities for further research.
KEYWORDS
Publication Date
6/16/2022
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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