JPEG2000-Compatible Scalable Scheme for Wavelet-Based Video Coding

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作者
Thomas André
Marco Cagnazzo
Marc Antonini
Michel Barlaud
机构
[1] Université de Nice-Sophia Antipolis,I3S Laboratory, UMR 6070/CNRS
关键词
Pattern Recognition; Computer Vision; Video Sequence; Video Coder; Temporal Analysis;
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摘要
We present a simple yet efficient scalable scheme for wavelet-based video coders, able to provide on-demand spatial, temporal, and SNR scalability, and fully compatible with the still-image coding standard JPEG2000. Whereas hybrid video coders must undergo significant changes in order to support scalability, our coder only requires a specific wavelet filter for temporal analysis, as well as an adapted bit allocation procedure based on models of rate-distortion curves. Our study shows that scalably encoded sequences have the same or almost the same quality than nonscalably encoded ones, without a significant increase in complexity. A full compatibility with Motion JPEG2000, which tends to be a serious candidate for the compression of high-definition video sequences, is ensured.
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