CASIA OpenIR  > 模式识别国家重点实验室  > 多媒体计算
Image Captioning by Asking Questions
Yang, Xiaoshan; XU, Changsheng
发表期刊ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS
ISSN1551-6857
2019-08-01
卷号15期号:2页码:19
通讯作者Yang, Xiaoshan(xiaoshan.yang@nlpr.ia.ac.cn)
摘要Image captioning and visual question answering are typical tasks that connect computer vision and natural language processing. Both of them need to effectively represent the visual content using computer vision methods and smoothly process the text sentence using natural language processing skills. The key problem of these two tasks is to infer the target result based on the interactive understanding of the word sequence and the image. Though they practically use similar algorithms, they are studied independently in the past few years. In this article, we attempt to exploit the mutual correlation between these two tasks. We propose the first VQA-improved image-captioning method that transfers the knowledge learned from the VQA corpora to the image-captioning task. A VQA model is first pretrained on image-question-answer instances. Then, the pretrained VQA model is used to extract VQA-grounded semantic representations according to selected free-form open-ended visual question-answer pairs. The VQA-grounded features are complementary to the visual features, because they interpret images from a different perspective. We incorporate the VQA model into the image-captioning model by adaptively fusing the VQA-grounded feature and the attended visual feature. We show that such simple VQA-improved image-captioning (VQA-IIC) models perform better than conventional image-captioning methods on large-scale public datasets.
关键词Image captioning visual question answering attention networks
DOI10.1145/3313873
关键词[WOS]VIDEO
收录类别SCI
语种英语
资助项目National Key Research and Development Program of China[2017YFB1002804] ; National Natural Science Foundation of China[61702511] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[61632007] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[U1836220] ; Key Research Program of Frontier Sciences, CAS[QYZDJSSWJSC039] ; Research Program of National Laboratory of Pattern Recognition[Z-2018007] ; CCF-Tencent Open Fund ; National Key Research and Development Program of China[2017YFB1002804] ; National Natural Science Foundation of China[61702511] ; National Natural Science Foundation of China[61720106006] ; National Natural Science Foundation of China[61620106003] ; National Natural Science Foundation of China[61432019] ; National Natural Science Foundation of China[61632007] ; National Natural Science Foundation of China[U1705262] ; National Natural Science Foundation of China[U1836220] ; Key Research Program of Frontier Sciences, CAS[QYZDJSSWJSC039] ; Research Program of National Laboratory of Pattern Recognition[Z-2018007] ; CCF-Tencent Open Fund
项目资助者National Key Research and Development Program of China ; National Natural Science Foundation of China ; Key Research Program of Frontier Sciences, CAS ; Research Program of National Laboratory of Pattern Recognition ; CCF-Tencent Open Fund
WOS研究方向Computer Science
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods
WOS记录号WOS:000482001900008
出版者ASSOC COMPUTING MACHINERY
七大方向——子方向分类多模态智能
引用统计
被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/27572
专题模式识别国家重点实验室_多媒体计算
通讯作者Yang, Xiaoshan
作者单位Univ Chinese Acad Sci, Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
第一作者单位模式识别国家重点实验室
通讯作者单位模式识别国家重点实验室
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GB/T 7714
Yang, Xiaoshan,XU, Changsheng. Image Captioning by Asking Questions[J]. ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,2019,15(2):19.
APA Yang, Xiaoshan,&XU, Changsheng.(2019).Image Captioning by Asking Questions.ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS,15(2),19.
MLA Yang, Xiaoshan,et al."Image Captioning by Asking Questions".ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS 15.2(2019):19.
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