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, Kah Phooi Seng

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)


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.
Original languageEnglish
Pages (from-to)33-47
Number of pages15
JournalInternational Journal of Sensor Networks
Issue number1
Publication statusPublished - 2012

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