Bidirectional Transformer for Android Based Image Icon Text Generation

DOI

10.2991/978-94-6463-040-4_95How to use a DOI?

Keywords

Image Caption; Natural Language Processing; Encoder-Decoder Framework

Abstract

The image caption task is an important manifestation of the fusion of computer vision and natural language processing development in deep learning. The Image Caption task, which is an advanced kind of image comprehension, can effectively grasp image information and produce accurate and concise natural language descriptions to users. It has gotten a lot of attention in the subject of art intelligence, and it has a lot of uses in the field of assisting visually impaired guides and human-computer interaction. This research primarily presents a deep learning-based solution for completing the natural language generation task based on images and symbols in Android. The encoder-decoder framework is used as the core structure to help visually impaired persons interact with mobile phones.

Copyright

© 2023 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Chuyi Yu
AU  - Ying Ma
AU  - Jianmin Li
PY  - 2022
DA  - 2022/12/27
TI  - Bidirectional Transformer for Android Based Image Icon Text Generation
BT  - Proceedings of the 2022 3rd International Conference on Artificial Intelligence and Education (IC-ICAIE 2022)
PB  - Atlantis Press
SP  - 627
EP  - 632
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-040-4_95
DO  - 10.2991/978-94-6463-040-4_95
ID  - Yu2022
ER  -