A Comprehensive Survey of Deep Learning for Image Captioning
| Main Authors: | G. Ramya, B. Chaitanya, J. Dinesh, D. Chandrasekhar, Dr. G. S. N. Murthy |
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| Format: | Article |
| Bahasa: | eng |
| Terbitan: |
, 2019
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| Subjects: | |
| Online Access: |
https://zenodo.org/record/2728950 |
Daftar Isi:
- This Paper will involve developing a model that generates suitable captions for images. This will help in analyzing image and converting the textual content to other useful forms. Image descriptions provide textual information about non-text content that appears on your website, allowing it to be presented auditory, as visual text, or in any other form that is best for the user. Image descriptions are plain text descriptions of images, gifs, videos, and other media. Humans have been captioning images involuntary since decades and now in the age of social media where every image has a caption over various social platforms. Psychologically those things are affected by events and scenarios running in mind or influenced by nearby activities and emotion. Sometimes those are far-far away from real context. Describing the content of an image is a fundamental problem in artificial intelligence that connects computer vision and natural language processing.