Visualising image databases

William Plant; Gerald Schaefer

doi:10.1109/MMSP.2009.5293293

Visualising image databases

William Plant^*, Gerald Schaefer

^*Corresponding author for this work

Research output: Chapter in Book/Published conference output › Conference 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 language	English
Title of host publication	IEEE International Workshop on Multimedia Signal Processing, MMSP '09
Publisher	IEEE
Number of pages	6
ISBN (Print)	978-1-4244-4464-9
DOIs	https://doi.org/10.1109/MMSP.2009.5293293
Publication status	Published - 2009
Event	2009 IEEE International Workshop on Multimedia Signal Processing - Rio de Janeiro, Brazil Duration: 5 Oct 2009 → 7 Oct 2009

Workshop

Workshop	2009 IEEE International Workshop on Multimedia Signal Processing
Abbreviated title	MMSP '09
Country/Territory	Brazil
City	Rio de Janeiro
Period	5/10/09 → 7/10/09

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10.1109/MMSP.2009.5293293

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title = "Visualising image databases",

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.",

author = "William Plant and Gerald Schaefer",

year = "2009",

doi = "10.1109/MMSP.2009.5293293",

language = "English",

isbn = "978-1-4244-4464-9",

booktitle = "IEEE International Workshop on Multimedia Signal Processing, MMSP '09",

publisher = "IEEE",

address = "United States",

note = "2009 IEEE International Workshop on Multimedia Signal Processing, MMSP '09 ; Conference date: 05-10-2009 Through 07-10-2009",

}

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AU - Plant, William

AU - Schaefer, Gerald

PY - 2009

Y1 - 2009

N2 - 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.

AB - 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.

UR - http://ieeexplore.ieee.org/document/5293293/

UR - http://www.scopus.com/inward/record.url?scp=74349090186&partnerID=8YFLogxK

U2 - 10.1109/MMSP.2009.5293293

DO - 10.1109/MMSP.2009.5293293

M3 - Conference publication

AN - SCOPUS:74349090186

SN - 978-1-4244-4464-9

BT - IEEE International Workshop on Multimedia Signal Processing, MMSP '09

PB - IEEE

T2 - 2009 IEEE International Workshop on Multimedia Signal Processing

Y2 - 5 October 2009 through 7 October 2009

ER -

Visualising image databases

Abstract

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