Journal article
A comprehensive survey of deep learning for image captioning
ACM Computing Surveys, Vol.51(6), Article No. 118
2019
Abstract
Generating a description of an image is called image captioning. Image captioning requires recognizing the important objects, their attributes, and their relationships in an image. It also needs to generate syntactically and semantically correct sentences. Deep-learning-based techniques are capable of handling the complexities and challenges of image captioning. In this survey article, we aim to present a comprehensive review of existing deep-learning-based image captioning techniques. We discuss the foundation of the techniques to analyze their performances, strengths, and limitations. We also discuss the datasets and the evaluation metrics popularly used in deep-learning-based automatic image captioning.
Details
- Title
- A comprehensive survey of deep learning for image captioning
- Authors/Creators
- MD.Z. Hossain (Author/Creator) - Murdoch UniversityF. Sohel (Author/Creator) - Murdoch UniversityM.F. Shiratuddin (Author/Creator) - Murdoch UniversityH. Laga (Author/Creator) - Murdoch University
- Publication Details
- ACM Computing Surveys, Vol.51(6), Article No. 118
- Publisher
- ACM Digital Library
- Identifiers
- 991005543002107891
- Copyright
- © 2019 ACM
- Murdoch Affiliation
- School of Engineering and Information Technology
- Language
- English
- Resource Type
- Journal article
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- Citation topics
- 4 Electrical Engineering, Electronics & Computer Science
- 4.17 Computer Vision & Graphics
- 4.17.128 Deep Visual Recognition
- Web Of Science research areas
- Computer Science, Theory & Methods
- ESI research areas
- Computer Science