Image Captioning using Deep Neural Architectures

被引：0
|
作者：
Shah, Parth [1 ]
Bakrola, Vishvajit [1 ]
Pati, Supriya [1 ]
机构：
[1] Uka Tarsadia Univ, CG Patel Inst Technol, Dept Comp Engn, Bardoli, India
来源：
2017 INTERNATIONAL CONFERENCE ON INNOVATIONS IN INFORMATION, EMBEDDED AND COMMUNICATION SYSTEMS (ICIIECS) | 2017年
关键词：
Deep Learning; Deep Neural Network; Image Captioning; Object Recognition; Machine Translation; Natural Language Processing; Natural Language Generation;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Automatically creating the description of an image using any natural language sentences is a very challenging task. It requires expertise of both image processing as well as natural language processing. This paper discusses about different available models for image captioning task. We have discussed about how the advancement in the task of object recognition and machine translation has greatly improved the performance of image captioning model in recent years. In addition to that we have discussed how this model can be implemented. At the end, we have also evaluated the performance of model using standard evaluation matrices.
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页数：4
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