Clustering-based image retrieval using fast exhaustive multi-resolution search algorithm

Byung Cheol Song, Kang Wook Chun

Research output: Contribution to journalArticlepeer-review

1 Scopus citations

Abstract

This paper presents a fast exhaustive multi-resolution search algorithm in a clustered image database. Prior to search process, the whole image data set is partitioned into a pre-defined number of clusters having similar feature contents. For a given query, the proposed algorithm first checks the lower bound of distances in each cluster, eliminating disqualified clusters. Next, it only examines the candidates in the surviving clusters through feature matching. Simulation results show that the proposed algorithm guarantees very rapid exhaustive search . . .

Original languageEnglish
Pages (from-to)372-377
Number of pages6
JournalLecture Notes in Computer Science
Volume3333
DOIs
StatePublished - 2004
Externally publishedYes

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