TY - GEN
T1 - Multi-reference neighborhood search for vector quantization by self-organized featured map
AU - Chan, K. W.
AU - Chan, K. L.
PY - 1995/7
Y1 - 1995/7
N2 - Reference Neighbor Search (RNS) is a new technique for fast searching of vector quantization(VQ), while maintaining near-optimal visual quality. However, the performance is greatly affected by the selection of reference point. In this research, we employed Self-Organized Feature Map to generate a topological preserving codebook and adaptively predicted the reference by a simple scheme. The predicted reference is close to the input, together with searching across multiple queues, the searching cost was significantly reduced while maintaining optimal visual quality. © IEE 1995.
AB - Reference Neighbor Search (RNS) is a new technique for fast searching of vector quantization(VQ), while maintaining near-optimal visual quality. However, the performance is greatly affected by the selection of reference point. In this research, we employed Self-Organized Feature Map to generate a topological preserving codebook and adaptively predicted the reference by a simple scheme. The predicted reference is close to the input, together with searching across multiple queues, the searching cost was significantly reduced while maintaining optimal visual quality. © IEE 1995.
UR - https://www.scopus.com/pages/publications/0029215381
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-0029215381&origin=recordpage
U2 - 10.1049/cp:19950725
DO - 10.1049/cp:19950725
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0-85296-642-3
T3 - IEE Conference Publication
SP - 579
EP - 583
BT - Fifth International Conference on Image Processing and its Applications, 1995.
PB - IET
T2 - 5th International Conference on Image Processing and its Applications
Y2 - 4 July 1995 through 6 July 1995
ER -