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IMAGE CAPTIONING

Authors: R NIVEDA; S PAVITHRA; D RIDDHI; S. PRINCE SAHAYA BRIGHTY;

IMAGE CAPTIONING

Abstract

Image captioning using artificial intelligence is a growing trend. This is formally known as automatic image annotation- a process by which a computer system will generate an automatic textual description to a corresponding image by making use of NLP (Natural Language Processing) and Computer Vision. In today’s day and age where visual data is abundant, Image Captioning plays a significant role in various applications and in recent years, it has gained a lot of study attention in the field of cognitive computing. This research paper contains the analysis and comparison of a few common and efficient image caption generation methods.

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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