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Images2Poem: Generating Chinese Poetry from Image Streams

Authors:

Zongming GuoAuthors Info & Claims

MM '18: Proceedings of the 26th ACM international conference on Multimedia

Pages 1967 - 1975

https://doi.org/10.1145/3240508.3241910

Published: 15 October 2018 Publication History

Abstract

Natural language generation from visual inputs has attracted extensive research attention recently. Generating poetry from visual content is an interesting but very challenging task. We propose and address the new multimedia task of generating classical Chinese poetry from image streams. In this paper, we propose an Images2Poem model with a selection mechanism and an adaptive self-attention mechanism for the problem. The model first selects representative images to summarize the image stream. During decoding, it adaptively pays attention to the information from either source-side image stream or target-side previously generated characters. It jointly summarizes the images and generates relevant, high-quality poetry from image streams. Experimental results demonstrate the effectiveness of the proposed approach. Our model outperforms baselines in different human evaluation metrics.

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Cited By

Chen JHuang KZhu XQiu XWang HQin X(2023)Poetry4painting: Diversified poetry generation for large-size ancient paintings based on data augmentationComputers & Graphics10.1016/j.cag.2023.07.029116(206-215)Online publication date: Nov-2023
https://doi.org/10.1016/j.cag.2023.07.029
Jabbar MShin JCho J(2022)AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry RetrievalElectronics10.3390/electronics1108127511:8(1275)Online publication date: 18-Apr-2022
https://doi.org/10.3390/electronics11081275
Zhao JLee H(2022)Automatic Generation and Evaluation of Chinese Classical Poetry with Attention-Based Deep Neural NetworkApplied Sciences10.3390/app1213649712:13(6497)Online publication date: 27-Jun-2022
https://doi.org/10.3390/app12136497
Show More Cited By

Index Terms

Images2Poem: Generating Chinese Poetry from Image Streams
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
    2. Natural language processing
      1. Natural language generation

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Information & Contributors

Information

Published In

cover image ACM Conferences

MM '18: Proceedings of the 26th ACM international conference on Multimedia

October 2018

2167 pages

ISBN:9781450356657

DOI:10.1145/3240508

General Chairs:
Susanne Boll
University of Oldenburg, Germany
,
Kyoung Mu Lee
Seoul National University, Korea
,
Jiebo Luo
University of Rochester, USA
,
Wenwu Zhu
Tsinghua University, China
,
Program Chairs:
Hyeran Byun
Yonsei University, Korea
,
Chang Wen Chen
State Univ. Of New York at Buffalo, USA
,
Rainer Lienhart
University of Augsburg, Germany
,
Tao Mei
JD AI, China

Copyright © 2018 ACM.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 15 October 2018

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National Natural Science Foundation of China

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MM '18

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SIGMM

MM '18: ACM Multimedia Conference

October 22 - 26, 2018

Seoul, Republic of Korea

Acceptance Rates

MM '18 Paper Acceptance Rate 209 of 757 submissions, 28%;

Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Chen JHuang KZhu XQiu XWang HQin X(2023)Poetry4painting: Diversified poetry generation for large-size ancient paintings based on data augmentationComputers & Graphics10.1016/j.cag.2023.07.029116(206-215)Online publication date: Nov-2023
https://doi.org/10.1016/j.cag.2023.07.029
Jabbar MShin JCho J(2022)AI Ekphrasis: Multi-Modal Learning with Foundation Models for Fine-Grained Poetry RetrievalElectronics10.3390/electronics1108127511:8(1275)Online publication date: 18-Apr-2022
https://doi.org/10.3390/electronics11081275
Zhao JLee H(2022)Automatic Generation and Evaluation of Chinese Classical Poetry with Attention-Based Deep Neural NetworkApplied Sciences10.3390/app1213649712:13(6497)Online publication date: 27-Jun-2022
https://doi.org/10.3390/app12136497
Cao QChen XSong RJiang HYang GCao ZMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Multi-Modal Experience Inspired AI CreationProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548189(1445-1454)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3503161.3548189
Cui M(2022)DRIIS: Research on Automatic Recognition of Artistic Conception of Classical Poems Based on Deep LearningInternational Journal of Cooperative Information Systems10.1142/S021884302250001031:01n02Online publication date: 15-Oct-2022
https://doi.org/10.1142/S0218843022500010
Yan JXie YLuan X(2022)Images2Poem in different contexts with Dual‐CharRNNCAAI Transactions on Intelligence Technology10.1049/cit2.120897:4(685-694)Online publication date: 25-Mar-2022
https://doi.org/10.1049/cit2.12089
Feng YChen JHuang KWong JYe HZhang WZhu RLuo XChen W(2021)iPoet: interactive painting poetry creation with visual multimodal analysisJournal of Visualization10.1007/s12650-021-00780-0Online publication date: 19-Nov-2021
https://doi.org/10.1007/s12650-021-00780-0
Luo YHuang ZZhang ZWang ZLi JYang YAmsaleg LHuet BLarson MGravier GHung HNgo CTsang Ooi W(2019)Curiosity-driven Reinforcement Learning for Diverse Visual Paragraph GenerationProceedings of the 27th ACM International Conference on Multimedia10.1145/3343031.3350961(2341-2350)Online publication date: 15-Oct-2019
https://dl.acm.org/doi/10.1145/3343031.3350961
Yeh WChang YLi YChang W(2019)Rhyming Knowledge-Aware Deep Neural Network for Chinese Poetry Generation2019 International Conference on Machine Learning and Cybernetics (ICMLC)10.1109/ICMLC48188.2019.8949208(1-6)Online publication date: Jul-2019
https://doi.org/10.1109/ICMLC48188.2019.8949208
Liu LTang JWan XGuo Z(2019)Generating Diverse and Descriptive Image Captions Using Visual Paraphrases2019 IEEE/CVF International Conference on Computer Vision (ICCV)10.1109/ICCV.2019.00434(4239-4248)Online publication date: Oct-2019
https://doi.org/10.1109/ICCV.2019.00434

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