图像场景分类技术综述

Yan Ling Tian; Wei Tong Zhang; Qie Shi Zhang; Gang Lu; Xiao Jun Wu

doi:10.3969/j.issn.0372-2112.2019.04.020

图像场景分类技术综述

Translated title of the contribution: Review on Image Scene Classification Technology

Yan Ling Tian, Wei Tong Zhang, Qie Shi Zhang^*, Gang Lu, Xiao Jun Wu

^*Corresponding author for this work

Information, Production and Systems Research Center

Research output: Contribution to journal › Review article › peer-review

10 Citations (Scopus)

Abstract

The computer vision based scene classification technology is widely developed and applied in different fields. In this paper, the typical scene classification technology is analyzed and compared from the different directions. First, the background, application and development situation is introduced. Then, the related researches both at home and overseas are analyzed, compared and summarized from the perspectives of feature extraction, semantic analysis and machine learning. Finally, the problems that the current researches are facing and potential future development are discussed.

Translated title of the contribution	Review on Image Scene Classification Technology
Original language	Chinese (Traditional)
Pages (from-to)	915-926
Number of pages	12
Journal	Tien Tzu Hsueh Pao/Acta Electronica Sinica
Volume	47
Issue number	4
DOIs	https://doi.org/10.3969/j.issn.0372-2112.2019.04.020
Publication status	Published - 2019 Apr 1

Keywords

Deep learning
Feature extraction
Scene classification
Semantics analysis

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.3969/j.issn.0372-2112.2019.04.020

Cite this

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title = "图像场景分类技术综述",

abstract = "The computer vision based scene classification technology is widely developed and applied in different fields. In this paper, the typical scene classification technology is analyzed and compared from the different directions. First, the background, application and development situation is introduced. Then, the related researches both at home and overseas are analyzed, compared and summarized from the perspectives of feature extraction, semantic analysis and machine learning. Finally, the problems that the current researches are facing and potential future development are discussed.",

keywords = "Deep learning, Feature extraction, Scene classification, Semantics analysis",

author = "Tian, {Yan Ling} and Zhang, {Wei Tong} and Zhang, {Qie Shi} and Gang Lu and Wu, {Xiao Jun}",

year = "2019",

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T1 - 图像场景分类技术综述

AU - Tian, Yan Ling

AU - Zhang, Wei Tong

AU - Zhang, Qie Shi

AU - Lu, Gang

AU - Wu, Xiao Jun

PY - 2019/4/1

Y1 - 2019/4/1

N2 - The computer vision based scene classification technology is widely developed and applied in different fields. In this paper, the typical scene classification technology is analyzed and compared from the different directions. First, the background, application and development situation is introduced. Then, the related researches both at home and overseas are analyzed, compared and summarized from the perspectives of feature extraction, semantic analysis and machine learning. Finally, the problems that the current researches are facing and potential future development are discussed.

AB - The computer vision based scene classification technology is widely developed and applied in different fields. In this paper, the typical scene classification technology is analyzed and compared from the different directions. First, the background, application and development situation is introduced. Then, the related researches both at home and overseas are analyzed, compared and summarized from the perspectives of feature extraction, semantic analysis and machine learning. Finally, the problems that the current researches are facing and potential future development are discussed.

KW - Deep learning

KW - Feature extraction

KW - Scene classification

KW - Semantics analysis

UR - http://www.scopus.com/inward/record.url?scp=85069579981&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85069579981&partnerID=8YFLogxK

U2 - 10.3969/j.issn.0372-2112.2019.04.020

DO - 10.3969/j.issn.0372-2112.2019.04.020

M3 - Review article

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SN - 0372-2112

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JO - Tien Tzu Hsueh Pao/Acta Electronica Sinica

JF - Tien Tzu Hsueh Pao/Acta Electronica Sinica

IS - 4

ER -

图像场景分类技术综述

Abstract

Keywords

ASJC Scopus subject areas

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