7.2.3 Image Description Generation
Automatically describing the content of an image is a fundamental problem in arti-ficial intelligence that connects computer vision and natural language processing. In [113], Vinyals Oriol et al. presented a generative model based on a deep recurrent architecture that combined recent advances in computer vision and machine trans-lation and that could be used to generate natural sentences describing an image. In [89], Miyazaki Takashi et al. developed a Japanese version of the MS COCO caption dataset and a generative model based on a deep recurrent architecture that took in an image and used this Japanese version of the dataset to generate a description in Japanese. In the future, it is an urgent need for corpora sufficiently large for image description in other languages with high-level semantics.
Acknowledgements
First of all, I appreciate my university: Kyushu University, it provides me with an enjoyable and convenient atmosphere of learning. Second, I would like to acknowledge my supervisor, Prof. Akira Fukuda, for allow-ing me the freedom to pursue my own ideas and for his constant support and advice. I appreciate Prof. Kazuaki Murakami when he helps me in my most difficult time. I would like to thank Prof. Yoichi Tomiura and Prof. Tsunenori Mine for their comments and constructive feedback on improving this thesis. I would also like to thank Mr. Antoine Trouve for his objective advice and assistance. I am greatly indebted to secretaries:
Rika Shudo, Yoko Otsuru and other teachers, who have helped me during the period of my study in Kyushu University. Last but not least, I would like to thank my parents and my wife for their unconditional love, under-standing and support. Without their continuous encouragement, I would not be where I am today.
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