The University of Southampton
University of Southampton Institutional Repository

OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images

OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images
OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images
OpenIMAJ and ImageTerrier are recently released open-source libraries and tools for experimentation and development of multimedia applications using Java-compatible programming languages. OpenIMAJ (the Open toolkit for Intelligent Multimedia Analysis in Java) is a collection of libraries for multimedia analysis. The image libraries contain methods for processing images and extracting state- of-the-art features, including SIFT. The video and audio libraries support both cross-platform capture and processing. The clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms. The clustering library makes it possible to easily create BoVW representations for images and videos. OpenI-MAJ also incorporates a number of tools to enable extremely- large-scale multimedia analysis using distributed computing with Apache Hadoop. ImageTerrier is a scalable, high-performance search engine platform for content-based image retrieval applications using features extracted with the OpenIMAJ library and tools. The ImageTerrier platform provides a comprehensive test-bed for experimenting with image retrieval techniques. The platform incorporates a state-of-the-art implementation of the single-pass indexing technique for constructing inverted indexes and is capable of producing highly compressed index data structures.
691-694
Hare, Jonathan
65ba2cda-eaaf-4767-a325-cd845504e5a9
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce
Hare, Jonathan
65ba2cda-eaaf-4767-a325-cd845504e5a9
Samangooei, Sina
c380fb26-55d4-4b34-94e7-c92bbb26a40d
Dupplaw, David
c563ca2b-756a-4d3f-bf99-4f60bb2be1ce

Hare, Jonathan, Samangooei, Sina and Dupplaw, David (2011) OpenIMAJ and ImageTerrier: Java Libraries and Tools for Scalable Multimedia Analysis and Indexing of Images. ACM Multimedia 2011, Scottsdale, Arizona, United States. 28 Nov - 01 Dec 2011. pp. 691-694 .

Record type: Conference or Workshop Item (Paper)

Abstract

OpenIMAJ and ImageTerrier are recently released open-source libraries and tools for experimentation and development of multimedia applications using Java-compatible programming languages. OpenIMAJ (the Open toolkit for Intelligent Multimedia Analysis in Java) is a collection of libraries for multimedia analysis. The image libraries contain methods for processing images and extracting state- of-the-art features, including SIFT. The video and audio libraries support both cross-platform capture and processing. The clustering and nearest-neighbour libraries contain efficient, multi-threaded implementations of clustering algorithms. The clustering library makes it possible to easily create BoVW representations for images and videos. OpenI-MAJ also incorporates a number of tools to enable extremely- large-scale multimedia analysis using distributed computing with Apache Hadoop. ImageTerrier is a scalable, high-performance search engine platform for content-based image retrieval applications using features extracted with the OpenIMAJ library and tools. The ImageTerrier platform provides a comprehensive test-bed for experimenting with image retrieval techniques. The platform incorporates a state-of-the-art implementation of the single-pass indexing technique for constructing inverted indexes and is capable of producing highly compressed index data structures.

Text
osc18c-hare.pdf - Version of Record
Download (265kB)

More information

Published date: 28 November 2011
Additional Information: Event Dates: 28/11/2011 until 1/12/2011
Venue - Dates: ACM Multimedia 2011, Scottsdale, Arizona, United States, 2011-11-28 - 2011-12-01
Organisations: Web & Internet Science

Identifiers

Local EPrints ID: 273040
URI: http://eprints.soton.ac.uk/id/eprint/273040
PURE UUID: b9a52ddb-31ef-471e-8999-342a12ef3b99
ORCID for Jonathan Hare: ORCID iD orcid.org/0000-0003-2921-4283

Catalogue record

Date deposited: 01 Dec 2011 20:23
Last modified: 15 Mar 2024 03:25

Export record

Contributors

Author: Jonathan Hare ORCID iD
Author: Sina Samangooei
Author: David Dupplaw

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×