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

    25 Citations (Scopus)

    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.
    Original languageEnglish
    Pages (from-to)33-47
    Number of pages15
    JournalInternational Journal of Sensor Networks
    Volume11
    Issue number1
    DOIs
    Publication statusPublished - 2012

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