A salient object detection technique based on color divergence

Sana Sahar Guia; Abdelkader Laouid; Reinhardt Euler; Mohammed Amine Yagoub; Ahcene Bounceur; Mohammad Hammoudeh

doi:10.1145/3440749.3442593

A salient object detection technique based on color divergence

Sana Sahar Guia
, Abdelkader Laouid
, Reinhardt Euler
, Mohammed Amine Yagoub
, Ahcene Bounceur
, Mohammad Hammoudeh

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

Nowadays, multimedia and visual computing advances in digital technology make a potential change in human life. Many applications exploit the captured images from autonomous entities as data sources for several goals. In fact, these captured images need to be interpreted in order to extract their external environment. The researchers of this domain will meet some challenges such as how to detect and interpret the images' context. This paper is to propose an efficient technique that detects objects of a given image based on the color divergence. The results clearly show the accuracy and the computation speed of the proposed technique compared with other methods.

Original language	English
Title of host publication	Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020
Publisher	Association for Computing Machinery
ISBN (Electronic)	9781450388863
DOIs	https://doi.org/10.1145/3440749.3442593
State	Published - 26 Nov 2020
Externally published	Yes

Publication series

Name	ACM International Conference Proceeding Series

Bibliographical note

Publisher Copyright:
© 2020 ACM.

Keywords

Data Analysis.
Image Processing
Object Detection

ASJC Scopus subject areas

Software
Human-Computer Interaction
Computer Vision and Pattern Recognition
Computer Networks and Communications

Access to Document

10.1145/3440749.3442593

Cite this

Guia, S. S., Laouid, A., Euler, R., Yagoub, M. A., Bounceur, A., & Hammoudeh, M. (2020). A salient object detection technique based on color divergence. In Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020 Article 3442593 (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3440749.3442593

@inproceedings{2873f63df45a4d3b84a66d80e944cce8,

title = "A salient object detection technique based on color divergence",

abstract = "Nowadays, multimedia and visual computing advances in digital technology make a potential change in human life. Many applications exploit the captured images from autonomous entities as data sources for several goals. In fact, these captured images need to be interpreted in order to extract their external environment. The researchers of this domain will meet some challenges such as how to detect and interpret the images' context. This paper is to propose an efficient technique that detects objects of a given image based on the color divergence. The results clearly show the accuracy and the computation speed of the proposed technique compared with other methods.",

keywords = "Data Analysis., Image Processing, Object Detection",

author = "Guia, \{Sana Sahar\} and Abdelkader Laouid and Reinhardt Euler and Yagoub, \{Mohammed Amine\} and Ahcene Bounceur and Mohammad Hammoudeh",

note = "Publisher Copyright: {\textcopyright} 2020 ACM.",

year = "2020",

month = nov,

day = "26",

doi = "10.1145/3440749.3442593",

language = "English",

series = "ACM International Conference Proceeding Series",

publisher = "Association for Computing Machinery",

booktitle = "Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020",

}

Guia, SS, Laouid, A, Euler, R, Yagoub, MA, Bounceur, A & Hammoudeh, M 2020, A salient object detection technique based on color divergence. in Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020., 3442593, ACM International Conference Proceeding Series, Association for Computing Machinery. https://doi.org/10.1145/3440749.3442593

A salient object detection technique based on color divergence. / Guia, Sana Sahar; Laouid, Abdelkader; Euler, Reinhardt et al.
Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020. Association for Computing Machinery, 2020. 3442593 (ACM International Conference Proceeding Series).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A salient object detection technique based on color divergence

AU - Guia, Sana Sahar

AU - Laouid, Abdelkader

AU - Euler, Reinhardt

AU - Yagoub, Mohammed Amine

AU - Bounceur, Ahcene

AU - Hammoudeh, Mohammad

PY - 2020/11/26

Y1 - 2020/11/26

N2 - Nowadays, multimedia and visual computing advances in digital technology make a potential change in human life. Many applications exploit the captured images from autonomous entities as data sources for several goals. In fact, these captured images need to be interpreted in order to extract their external environment. The researchers of this domain will meet some challenges such as how to detect and interpret the images' context. This paper is to propose an efficient technique that detects objects of a given image based on the color divergence. The results clearly show the accuracy and the computation speed of the proposed technique compared with other methods.

AB - Nowadays, multimedia and visual computing advances in digital technology make a potential change in human life. Many applications exploit the captured images from autonomous entities as data sources for several goals. In fact, these captured images need to be interpreted in order to extract their external environment. The researchers of this domain will meet some challenges such as how to detect and interpret the images' context. This paper is to propose an efficient technique that detects objects of a given image based on the color divergence. The results clearly show the accuracy and the computation speed of the proposed technique compared with other methods.

KW - Data Analysis.

KW - Image Processing

KW - Object Detection

UR - https://www.scopus.com/pages/publications/85105986578

U2 - 10.1145/3440749.3442593

DO - 10.1145/3440749.3442593

M3 - Conference contribution

AN - SCOPUS:85105986578

T3 - ACM International Conference Proceeding Series

BT - Proceedings of the 4th International Conference on Future Networks and Distributed Systems, ICFNDS 2020

PB - Association for Computing Machinery

ER -

A salient object detection technique based on color divergence

Abstract

Publication series

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this