Motion differential set partition coding for image sequence and video compression
| Autor: | Yang Hu, William A. Pearlman |
|---|---|
| Rok vydání: | 2012 |
| Předmět: |
Motion compensation
Hardware_MEMORYSTRUCTURES business.industry Tunstall coding ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Variable-length code Inter frame Coding tree unit Sub-band coding Signal Processing Media Technology Computer vision Computer Vision and Pattern Recognition Artificial intelligence Electrical and Electronic Engineering business Algorithm Context-adaptive binary arithmetic coding Context-adaptive variable-length coding Mathematics |
| Zdroj: | Journal of Visual Communication and Image Representation. 23:634-641 |
| ISSN: | 1047-3203 |
| DOI: | 10.1016/j.jvcir.2012.02.008 |
| Popis: | Efficient image sequence coding exploits both intra- and inter-frame correlations. Set partition coding (SPC) is efficient in intra-frame de-correlation for still images. Based on SPC, a novel image sequence coding system, called motion differential SPC (M-D-SPC), is presented in this paper. It removes inter-frame redundancy by re-using the significance map of a previously SPC coded frame. Every frame is encoded and decoded separate from other frames. Furthermore, there is no reconstruction of encoded frames in the encoder, as is done with interframe prediction methods. The M-D-SPC exhibits an auxiliary key frame coding framework, which achieves higher coding efficiency compared to the all-intra-coding schemes and meanwhile maintains the beneficial features of SPC all-intra-coding, such as computational simplicity, rate scalability, error non-propagation, and random frame access. SPIHT-based simulations on hyperspectral images, 3D/4D medical images, and video show greater compression efficiency than the standard intraframe coding method of motion JPEG2000. |
| Databáze: | OpenAIRE |
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