Three-dimensional shape-adaptive discrete wavelet transforms for efficient object-based video coding

نویسندگان

  • Jizheng Xu
  • Shipeng Li
  • Ya-Qin Zhang
چکیده

In this paper, we present an object-based coding scheme using three-dimensional shape-adaptive discrete wavelet transforms (SA-DWT). Rather than straightforward extension of 2D SA-DWT, a novel way to handle the temporal wavelet transform using a motion model is proposed to achieve higher coding efficiency. Corresponding to this transform scheme, we use a 3D entropy coding algorithm called Motion-based Embedded Subband Coding with Optimized Truncation (ESCOT) to code the wavelet coefficients. Results show that ESCOT can achieve comparable coding performance with the state-of-the-art MPEG-4 verification model (VM) 13.0 while having the scalability and flexibility of the bitstream in low bit-rate objectbased video coding. And in relative higher bit-rate, our coding approach outperforms MPEG-4 VM 13.0 by about 2.5dB.

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تاریخ انتشار 2000