reviewACM Computing SurveysFeb 4, 2019Closed access

A Comprehensive Survey of Deep Learning for Image Captioning

Murdoch University

Indexed incrossref

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.

Citation impact

872
total citations
FWCI
44.70
Percentile
100%
References
168
Citations per year

Authors

4

Topics & keywords

Keywords
  • Closed captioning
  • Computer science
  • Image (mathematics)
  • Artificial intelligence
  • Deep learning
  • Natural language processing
  • Information retrieval
UN Sustainable Development Goals
  • Quality Education
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Funding