HUMAN BEHAVIOR PREDICTION FOR CITYSCAPE IMAGES USING MULTIMODAL DEEP LEARNING-Reference-Cited by-同舟云学术

HUMAN BEHAVIOR PREDICTION FOR CITYSCAPE IMAGES USING MULTIMODAL DEEP LEARNING

Published:2022-08-01 Issue:798 Volume:87 Page:1602-1611
ISSN:1340-4210
Container-title:Journal of Architecture and Planning (Transactions of AIJ)
language:en
Short-container-title:Transactions of AIJ

Author:

ONO Kotaro¹,YAMADA Satoshi²,MUNEMOTO Shinsaku²

Affiliation:

1. KOZO KEIKAKU ENGINEERING Inc

2. Dept. of Architecture and Urban Design, Ritsumeikan Univ.

Publisher

Architectural Institute of Japan

Subject

General Medicine,General Chemistry

Link

https://www.jstage.jst.go.jp/article/aija/87/798/87_1602/_pdf

Reference17 articles.

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3. 3) Ryan Kiros, Ruslan Salakhutdinov, Richard S. Zemel:Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models, arXiv:1411.2539,2014,11

4. 4) Lun Liu, Elisabete A. Silva, Chunyang Wu, Hui Wang: A machine learning-based method for the large-scale evaluation of the qualities of the urban environment-,Computers,Environment and Urban Systems, Vol65, pp.113-125, 2017.6

5. 5) Stephen Law, Yao Shen, Chanuki Seresinhe : An application of convolutional neural network in street image classification-the case study of london-,ACM GeoAI'17 Proceedings of the 1st Workshop on Artificial Intelligence and Deep Learning for Geographic knowledge Discovery, pp.5-9, 2017.11

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