loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Fuping Yang ; Zhichun Yuan and Xi Cheng

Affiliation: Chongqing University of Posts and Telecommunications, China

Keyword(s): Text-to-scene, Scene division, Multi-scene text, Scene features, Scene themes.

Abstract: The text-to-scene conversion is such a process that converts the input text to 3D scenes automatically based on the natural language processing. The scene division is one of the basic research contents of the text-to-scene conversion, and it mainly identifies and divides the number and structure of scenes in multi-scene text. In this paper, the general expression of the scene is obtained through the analysis of scene features, and then the method for divide multi-scene text which to use scene themes has been proposed. In the experiment, the LDA model is used to divide the multi-scene text, and this method is applied to the standard data set. The experiments show that the expected results are achieved.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.227.114.125

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Yang, F.; Yuan, Z. and Cheng, X. (2019). A Scene Division Method Based on Theme. In Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC; ISBN 978-989-758-357-5, SciTePress, pages 44-48. DOI: 10.5220/0008098000440048

@conference{ctisc19,
author={Fuping Yang. and Zhichun Yuan. and Xi Cheng.},
title={A Scene Division Method Based on Theme},
booktitle={Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC},
year={2019},
pages={44-48},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008098000440048},
isbn={978-989-758-357-5},
}

TY - CONF

JO - Proceedings of the International Conference on Advances in Computer Technology, Information Science and Communications - CTISC
TI - A Scene Division Method Based on Theme
SN - 978-989-758-357-5
AU - Yang, F.
AU - Yuan, Z.
AU - Cheng, X.
PY - 2019
SP - 44
EP - 48
DO - 10.5220/0008098000440048
PB - SciTePress