标题:Hierarchical Photo-Scene Encoder for Album Storytelling
作者:Wang, Bairui; Ma, Lin; Zhang, Wei; Jiang, Wenhao; Zhang, Feng
通讯作者:Zhang, W;Ma, L
作者机构:[Wang, Bairui; Zhang, Wei] Shandong Univ, Sch Control Sci & Engn, Jinan, Shandong, Peoples R China.; [Ma, Lin; Jiang, Wenhao; Zhang, Feng] Tencent A 更多
会议名称:33rd AAAI Conference on Artificial Intelligence / 31st Innovative Applications of Artificial Intelligence Conference / 9th AAAI Symposium on Educational Advances in Artificial Intelligence
会议日期:JAN 27-FEB 01, 2019
来源:THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE
出版年:2019
页码:8909-8916
摘要:In this paper, we propose a novel model with a hierarchical photo-scene encoder and a reconstructor for the task of album storytelling. The photo-scene encoder contains two subencoders, namely the photo and scene encoders, which are stacked together and behave hierarchically to fully exploit the structure information of the photos within an album. Specifically, the photo encoder generates semantic representation for each photo while exploiting temporal relationships among them. The scene encoder, relying on the obtained photo representations, is responsible for detecting the scene changes and generating scene representations. Subsequently, the decoder dynamically and attentively summarizes the encoded photo and scene representations to generate a sequence of album representations, based on which a story consisting of multiple coherent sentences is generated. In order to fully extract the useful semantic information from an album, a reconstructor is employed to reproduce the summarized album representations based on the hidden states of the decoder. The proposed model can be trained in an end-to-end manner, which results in an improved performance over the state-of-the-arts on the public visual storytelling (VIST) dataset. Ablation studies further demonstrate the effectiveness of the proposed hierarchical photo-scene encoder and reconstructor.
收录类别:CPCI-S
资源类型:会议论文
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