Analysis of Different Neural Network Techniques Used for Image Caption Generation
Samiksha Lambat1, S. S. Sonawane2

1Samiksha Lambat, Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India.
2Dr. S. S. Sonawane, Department of Computer Engineering, Pune Institute of Computer Technology, Pune, India.
Manuscript received on June 15, 2020. | Revised Manuscript received on June 25, 2020. | Manuscript published on July 10, 2020. | PP: 299-304 | Volume-9 Issue-9, July 2020 | Retrieval Number: 100.1/ijitee.I7165079920 | DOI: 10.35940/ijitee.I7165.079920
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Abstract: Artificial intelligence has open doors to new opportunities for research and development. And the recent development in machine learning and deep learning has paved a way to deal with complex problem easily. Now a day’s every aspect of human life can now be thought of as a problem statement that can be implemented and is useful in one way or the other. One such aspect is human ability to understand and describe the surrounding to which they interact and take decision accordingly. This ability can also be used in machines or bots to make human and machine interaction easier. Generating captions for images is same we need to describe images based on what you see. This task can be considered as a combination of computer vision and natural language processing. In this paper we performs a survey of various methods and techniques that can be useful in understanding how this task can be done. The survey mainly focuses on neural network techniques, because they give state of the art results. 
Keywords: Image Captioning, Deep learning, Image annotation, Caption generation.
Scope of the Article: Deep learning