Abstract
This paper presents a novel hybrid multiresolution statistical and vector quantization based video coding scheme. In the intra mode of operation, a wavelet transform is used to decorrelate the input frame into a number of subbands. The high frequency subbands are coded using a novel statistically based coding algorithm. In the inter mode of operation, overlapped block motion estimation / compensation is employed to exploit inter frame redundancy. A wavelet transform is then applied to the displaced frame difference to decorrelate it into a number of subbands. The coefficients in the resulting subbands are coded using an adaptive vector quantization scheme.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA '08) |
| Publisher | ACM |
| Pages | 287-292 |
| Number of pages | 6 |
| ISBN (Print) | 9780889867185 |
| Publication status | Published - 2008 |
Keywords
- pattern recognition
- video coding
- video codec
- signal processing
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Cite this
Bagheri, P. Z., Buggy, T., & Akbari, A. (2008). Multiresolution statistical and vector quantization based video codec. In Proceedings of the 5th IASTED International Conference on Signal Processing, Pattern Recognition and Applications (SPPRA '08) (pp. 287-292). ACM. http://dl.acm.org/citation.cfm?id=1722683.1722743