Zerotree entropy coding of wavelet coefficients for very low bit rate video

This paper introduces zerotree entropy (ZTE) coding for wavelet transform coefficients of video I-frames and motion-compensated video residuals. ZTE coding is based on but differs significantly from the embedded zerotree wavelet (EZW) algorithm. As in EZW, the new ZTE coding algorithm exploits the self-similarity inherent in the wavelet transform to predict the location of information across wavelet scales. The new ZTE coder does not produce an embedded bitstream as EZW does, but by sacrificing the embedding property, ZTE achieves substantial improvement in coding efficiency and provides greater flexibility and other advantages over EZW