A survey of bottom-up visual saliency methods in wireless multimedia sensor networks

Christopher Wing Hong Ngau; Li Minn Ang; Kah Phooi Seng

doi:10.1109/IHMSC.2009.207

A survey of bottom-up visual saliency methods in wireless multimedia sensor networks

Christopher Wing Hong Ngau, Li Minn Ang, Kah Phooi Seng

Materials and Manufacturing Engineering

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

1 Citation (Scopus)

Abstract

The implementation of visual saliency in wireless multimedia sensor networks (WMSNs) can be useful for a large application scope. Autonomous detection and tracking based on human gaze behavior as well as efficient bandwidth utilization for sensing devices in WMSNs can be achieved through such a method. In this paper, a review on two major categories of visual saliency model is presented. Available models are analyzed in terms of resource efficiency. After an evaluation is performed, it is found that a purely computational pixel-based saliency model is most suitable to be used in WMSNs due to its low computational complexity and memory requirements, as well as efficient detection of conspicuous objects.

Original language	English
Title of host publication	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Pages	335-338
Number of pages	4
DOIs	https://doi.org/10.1109/IHMSC.2009.207
Publication status	Published - 2009
Externally published	Yes
Event	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 - Hangzhou, Zhejiang, China Duration: 26 Aug 2009 → 27 Aug 2009

Publication series

Name	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Volume	2

Conference

Conference	2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009
Country/Territory	China
City	Hangzhou, Zhejiang
Period	26/08/09 → 27/08/09

Keywords

Sensor network
Visual saliency

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1109/IHMSC.2009.207

Cite this

Ngau, C. W. H., Ang, L. M., & Seng, K. P. (2009). A survey of bottom-up visual saliency methods in wireless multimedia sensor networks. In 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 (pp. 335-338). Article 5335974 (2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009; Vol. 2). https://doi.org/10.1109/IHMSC.2009.207

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title = "A survey of bottom-up visual saliency methods in wireless multimedia sensor networks",

abstract = "The implementation of visual saliency in wireless multimedia sensor networks (WMSNs) can be useful for a large application scope. Autonomous detection and tracking based on human gaze behavior as well as efficient bandwidth utilization for sensing devices in WMSNs can be achieved through such a method. In this paper, a review on two major categories of visual saliency model is presented. Available models are analyzed in terms of resource efficiency. After an evaluation is performed, it is found that a purely computational pixel-based saliency model is most suitable to be used in WMSNs due to its low computational complexity and memory requirements, as well as efficient detection of conspicuous objects.",

keywords = "Sensor network, Visual saliency",

author = "Ngau, {Christopher Wing Hong} and Ang, {Li Minn} and Seng, {Kah Phooi}",

year = "2009",

doi = "10.1109/IHMSC.2009.207",

language = "English",

isbn = "9780769537528",

series = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009",

pages = "335--338",

booktitle = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009",

note = "2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009 ; Conference date: 26-08-2009 Through 27-08-2009",

}

Ngau, CWH, Ang, LM & Seng, KP 2009, A survey of bottom-up visual saliency methods in wireless multimedia sensor networks. in 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009., 5335974, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009, vol. 2, pp. 335-338, 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009, Hangzhou, Zhejiang, China, 26/08/09. https://doi.org/10.1109/IHMSC.2009.207

A survey of bottom-up visual saliency methods in wireless multimedia sensor networks. / Ngau, Christopher Wing Hong; Ang, Li Minn; Seng, Kah Phooi.
2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009. 2009. p. 335-338 5335974 (2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009; Vol. 2).

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

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AU - Seng, Kah Phooi

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AB - The implementation of visual saliency in wireless multimedia sensor networks (WMSNs) can be useful for a large application scope. Autonomous detection and tracking based on human gaze behavior as well as efficient bandwidth utilization for sensing devices in WMSNs can be achieved through such a method. In this paper, a review on two major categories of visual saliency model is presented. Available models are analyzed in terms of resource efficiency. After an evaluation is performed, it is found that a purely computational pixel-based saliency model is most suitable to be used in WMSNs due to its low computational complexity and memory requirements, as well as efficient detection of conspicuous objects.

KW - Sensor network

KW - Visual saliency

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DO - 10.1109/IHMSC.2009.207

M3 - Conference Proceeding

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BT - 2009 International Conference on Intelligent Human-Machine Systems and Cybernetics, IHMSC 2009

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Y2 - 26 August 2009 through 27 August 2009

ER -

A survey of bottom-up visual saliency methods in wireless multimedia sensor networks

Abstract

Publication series

Conference

Keywords

UN SDGs

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