Name
Abstract | ||
|---|---|---|
Motion-compensated prediction of video is formulated as a novel vector quantization scheme called motion filter vector quantiza- tion (MFVQ). In MFVQ, the motion vector and the pixel-intensity interpolation filter are combined into a motion filter and the en- tire filter is vector quantized. A codebook design algorithm is proposed for designing unit gain and entropy constrained MFVQ codebooks. The algorithm is tested under two application config- urations, MFVQ with static codebook and MFVQ with forward- adaptive codebook, and is shown to furnish up to a dB of PSNR gain. |
Year | DOI | Venue |
|---|---|---|
2002 | 10.1109/ICIP.2002.1038114 | Image Processing. 2002. Proceedings. 2002 International Conference |
Keywords | Field | DocType |
adaptive codes,entropy codes,filtering theory,interpolation,motion compensation,prediction theory,vector quantisation,video coding,PSNR gain,closed-loop simulations,codebook design algorithm,entropy constrained MFVQ codebook,forward-adaptive codebook,motion compensated video coding,motion filter VQ,motion filter vector quantization,motion-compensated prediction,pixel-intensity interpolation filter,static codebook,unit gain MFVQ codebook | Computer vision,Linde–Buzo–Gray algorithm,Computer science,Motion compensation,Interpolation,Learning vector quantization,Vector quantization,Artificial intelligence,Codebook,Filter design,Motion vector | Conference |
Volume | ISSN | Citations |
1 | 1522-4880 | 0 |
PageRank | References | Authors |
0.34 | 6 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dariusz Blasiak | 1 | 0 | 0.34 |
| W.-Y. Chan | 2 | 114 | 18.25 |