Imagerank: Spectral techniques for structural analysis of image database

Xiaofei He*, Wei-Ying Ma, Hongjiang Zhang

*Corresponding author for this work

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

21 Citations (Scopus)

Abstract

Drawing on the correspondence between spectral clustering, spectral dimensionality reduction, and the connections to the Markov chain theory, we present a novel unified framework for structural analysis of image database us ing spectral techniques. The framework provides a computationally efficient approach to both clustering and dimensionality reduction, or 2-D visualization. Within this framework, we can also infer the semantic degrees of the images, i.e. imagerank, which characterize the richness of semantics contained in the images. Some illustrative examples are discussed. © 2003 IEEE.
Original languageEnglish
Title of host publicationProceedings - 2003 International Conference on Multimedia and Expo, ICME
PublisherIEEE Computer Society
PagesI25-I28
Volume1
ISBN (Print)0780379659
DOIs
Publication statusPublished - 2003
Externally publishedYes
Event2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States
Duration: 6 Jul 20039 Jul 2003

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume1
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Conference

Conference2003 International Conference on Multimedia and Expo, ICME 2003
PlaceUnited States
CityBaltimore
Period6/07/039/07/03

Bibliographical note

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