Image retrieval with multi-stage filtering in low dimensions

K. Inoue; K. Urahama

doi:10.1109/ICME.2001.1237686

Image retrieval with multi-stage filtering in low dimensions

K. Inoue, K. Urahama

Department of Media Design

Research output: Contribution to journal › Article › peer-review

Abstract

A method is presented for kNN search of images with the aid of two-stage altering which is an extension of an improved single-stage altering method presented by Seidl et al. The two-stage altering method is applied to image retrieval. Three kinds of feature vectors are examined for color-based representation of image contents, those are color histograms, block-partitioned histograms and pixel color vectors. It is veriaed that retrieval time is shortened by extension of altering to two-stage for all of these feature vectors.

Original language	English
Article number	1237686
Pages (from-to)	182-185
Number of pages	4
Journal	Proceedings - IEEE International Conference on Multimedia and Expo
DOIs	https://doi.org/10.1109/ICME.2001.1237686
Publication status	Published - 2001

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Computer Science Applications

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10.1109/ICME.2001.1237686

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Image retrieval with multi-stage filtering in low dimensions

Abstract

All Science Journal Classification (ASJC) codes

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