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

Authors: Li Wern Chew; Wai Chong Chia; Li-Minn Ang; Kah Phooi Seng

Addresses: Department of Electrical and Electronic Engineering, University of Nottingham, 43500 Selangor, Malaysia. ' Department of Electrical and Electronic Engineering, University of Nottingham, 43500 Selangor, Malaysia. ' Department of Electrical and Electronic Engineering, University of Nottingham, 43500 Selangor, Malaysia. ' School of Computer Technology, Sunway University, 46150 Selangor, Malaysia

Abstract: 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.

Keywords: 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.

DOI: 10.1504/IJSNET.2012.045033

International Journal of Sensor Networks, 2012 Vol.11 No.1, pp.33 - 47

Accepted: 24 Feb 2011
Published online: 22 Jan 2012 *

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