Low memory visual saliency architecture for data reduction in wireless sensor networks

C W H Ngau; Li-Minn Ang; K P Seng

doi:10.1049/iet-wss.2011.0038

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Low memory visual saliency architecture for data reduction in wireless sensor networks

Journal article

Peer reviewed

Low memory visual saliency architecture for data reduction in wireless sensor networks

C W H Ngau, Li-Minn Ang and K P Seng

IET Wireless Sensor Systems, Vol.2(2), pp.115-127

2012

DOI: https://doi.org/10.1049/iet-wss.2011.0038

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Abstract

Image and video coding

microprocessors and microcomputers

wireless sensor networks

computer vision and image processing techniques

logic and switching circuits

logic circuits

microprocessor chips

computational complexity

Traditionally, to reduce communication overheads because of bandwidth limitations in wireless sensor networks (WSNs), image compression techniques are used on high-resolution captures. Higher data reduction rates can be achieved by first removing redundant parts of the capture prior to the application of image compression. To locate these redundant parts, biologically plausible visual saliency processing is used to isolate parts that seemed important based on visual perception. Although visual saliency proves to be an effective method in providing a distinctive difference between important and unimportant regions, computational complexity and memory requirements often impair implementation. This study presents an implementation of a low-memory visual saliency architecture with reduced computation complexity for data reduction in WSNs through salient patch transmission. A custom softcore microprocessor-based hardware implementation on a field programmable gate array is then used to verify the architecture. Real-time processing demonstrated that data reductions of more than 50% are achievable for simple to medium scenes without the application of image compression techniques.

Details

Title: Low memory visual saliency architecture for data reduction in wireless sensor networks
Authors: C W H Ngau (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - Edith Cowan University
K P Seng (Author) - Sunway University
Publication details: IET Wireless Sensor Systems, Vol.2(2), pp.115-127
Publisher: The Institution of Engineering and Technology
Date published: 2012
DOI: 10.1049/iet-wss.2011.0038
ISSN: 2043-6386; 2043-6394; 2043-6386
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513893502621
Output Type: Journal article

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Collaboration types: Domestic collaboration; International collaboration
Web Of Science research areas: Telecommunications