Low-memory video compression architecture using strip-based processing for implementation in wireless multimedia sensor networks

Li Wern Chew; Wai Chong Chia; Li-Minn Ang; K P Seng

doi:10.1504/IJSNET.2012.045033

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Low-memory video compression architecture using strip-based processing for implementation in wireless multimedia sensor networks

Journal article

Peer reviewed

Low-memory video compression architecture using strip-based processing for implementation in wireless multimedia sensor networks

Li Wern Chew, Wai Chong Chia, Li-Minn Ang and K P Seng

International Journal of Sensor Networks, Vol.11(1), pp.33-47

2012

DOI: https://doi.org/10.1504/IJSNET.2012.045033

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Abstract

low-memory video compression

SPIHT

set partitioning

hierarchical trees

strip-based coding

video compression architecture

wireless multimedia sensor networks

WMSNs

wireless sensor networks

WSNs

simulation

This paper presents a very low–memory video compression architecture for implementation in a wireless multimedia sensor network. The approach employs a strip–based processing technique where a group of image sequences is partitioned into strips, and each strip is encoded separately. A new one–dimensional, memory–addressing method is proposed to store the wavelet coefficients at predetermined locations in the strip buffer for ease of coding. To further reduce the memory requirements, the video–coding scheme uses a modified set–partitioning in hierarchical trees algorithm to give a high compression performance. The proposed work is implemented using a soft–core microprocessor–based approach. Simulation tests conducted have verified that even though the proposed video compression architecture using strip–based processing requires a much less complex hardware implementation and its efficient memory organisation uses a lesser amount of embedded memory for processing and buffering, it can still achieve a very good compression performance.

Details

Title: Low-memory video compression architecture using strip-based processing for implementation in wireless multimedia sensor networks
Authors: Li Wern Chew (Author) - University of Nottingham Malaysia Campus
Wai Chong Chia (Author) - University of Nottingham Malaysia Campus
Li-Minn Ang (Author) - University of Nottingham Malaysia Campus
K P Seng (Author) - Sunway University
Publication details: International Journal of Sensor Networks, Vol.11(1), pp.33-47
Publisher: Inderscience Publishers
Date published: 2012
DOI: 10.1504/IJSNET.2012.045033
ISSN: 1748-1279; 1748-1287; 1748-1279
Organisation Unit: University of the Sunshine Coast, Queensland; School of Science, Technology and Engineering; Engage Research Lab
Language: English
Record Identifier: 99513794202621
Output Type: Journal article

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Collaboration types: Domestic collaboration
Web Of Science research areas: Computer Science, Information Systems; Telecommunications