Visualising image databases

William Plant*, Gerald Schaefer

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference publication

Abstract

In this paper we explore different ways in which large collections of images can be visualised. We discuss the three principle visualisation techniques employed for this purpose, namely dimensionality reduced mappings, clustering-based visualisations and graph-based representations. Mapping-based techniques try to present the relationships between images described by high-dimensional features in a low-dimensional visualisation space. Clustered visualisations group similar images based on content, metadata or time stamp information, while in graph-based approaches links between images are exploited to arrive at an intuitive display of the dataset. We highlight advantages and disadvantages of the various approaches and emphasise the need for a benchmark which allows objective evaluation of these systems.

Original languageEnglish
Title of host publicationIEEE International Workshop on Multimedia Signal Processing, MMSP '09
PublisherIEEE
Number of pages6
ISBN (Print)978-1-4244-4464-9
DOIs
Publication statusPublished - 2009
Event2009 IEEE International Workshop on Multimedia Signal Processing - Rio de Janeiro, Brazil
Duration: 5 Oct 20097 Oct 2009

Workshop

Workshop2009 IEEE International Workshop on Multimedia Signal Processing
Abbreviated titleMMSP '09
CountryBrazil
CityRio de Janeiro
Period5/10/097/10/09

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