Pruned octree feature for interactive retrieval

Xia Wan; C.-C. Jay Kuo

doi:10.1117/12.290339

6 October 1997 Pruned octree feature for interactive retrieval

Xia Wan, C.-C. Jay Kuo

Proceedings Volume 3229, Multimedia Storage and Archiving Systems II; (1997) https://doi.org/10.1117/12.290339
Event: Voice, Video, and Data Communications, 1997, Dallas, TX, United States

Abstract

A new color feature obtained from the pruned octree color representation of an image for interactive image retrieval is proposed in this work. The pruned octree is constructed based on a natural color clustering of a given image rather than the fixed bucket color quantization of the entire database. In this new framework, we integrate commonly used features such as color width, color depth, average colore and multi-resolution colore distributions. As a result, it supports flexible filtering, in which the similarity matching procedure can be gradually refined. Examples are given to illustrate the query image analysis and sequential filtering strategy based on the octree color feature.

Citation Download Citation

Xia Wan and C.-C. Jay Kuo "Pruned octree feature for interactive retrieval", Proc. SPIE 3229, Multimedia Storage and Archiving Systems II, (6 October 1997); https://doi.org/10.1117/12.290339

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