Neural image and video captioning (NIVC)
A common problem linking computer vision and natural language processing is the ability to generate accurate captioning for a given image. Researchers have spent decades trying to perfect the state of art image captioning. In this paper, various approaches of image captioning models towards ach...
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| 主要作者: | |
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| 其他作者: | |
| 格式: | Final Year Project |
| 語言: | English |
| 出版: |
Nanyang Technological University
2022
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| 主題: | |
| 在線閱讀: | https://hdl.handle.net/10356/156511 |
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| 總結: | A common problem linking computer vision and natural language processing is the ability to
generate accurate captioning for a given image. Researchers have spent decades trying to
perfect the state of art image captioning.
In this paper, various approaches of image captioning models towards achieving a state of the
art results are studied. After the various approaches are studied, the best approaches are then
extracted and then recombined into a new single model in hopes of achieving a new state of
the art model.
Furthermore, this paper proposes a sharing platform that allows users to apply the prediction
model built as a real-world use case. Live captioning is proposed to utilize the inceptionV4
model to provide a description of an image. The platform comes in the form of a mobile
application and is equipped with valuable functionalities to caption an image and share the
inspiration on the free platform for different individuals to exchange their ideas |
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