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...
محفوظ في:
| المؤلف الرئيسي: | |
|---|---|
| مؤلفون آخرون: | |
| التنسيق: | Final Year Project |
| اللغة: | English |
| منشور في: |
Nanyang Technological University
2022
|
| الموضوعات: | |
| الوصول للمادة أونلاين: | https://hdl.handle.net/10356/156511 |
| الوسوم: |
إضافة وسم
لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!
|
| الملخص: | 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 |
|---|