Multi-reference neighborhood search for vector quantization by self-organized featured map

Research output: Journal Publications and ReviewsRGC 22 - Publication in policy or professional journal

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Original languageEnglish
Pages (from-to)579-583
Journal / PublicationIEE Conference Publication
Issue number410
Publication statusPublished - 1995


TitleProceedings of the 5th International Conference on Image Processing and its Applications
CityEdinburgh, UK
Period4 - 6 July 1995


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.