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VisualNet: Commonsense knowledgebase for video and image indexing and retrieval application

Altadmri, Amjad and Ahmed, Amr (2009) VisualNet: Commonsense knowledgebase for video and image indexing and retrieval application. In: 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems. IEEE, pp. 636-641. ISBN 978-1-4244-4754-1. E-ISBN 978-1-4244-4738-1. (doi:10.1109/ICICISYS.2009.5358084)

Abstract

The rapidly increasing amount of video collections, available on the web or via broadcasting, motivated research towards building intelligent tools for searching, rating, indexing and retrieval purposes. Establishing a semantic representation of visual data, mainly in textual form, is one of the important tasks. The time needed for building and maintaining Ontologies and knowledge, especially for wide domain, and the efforts for integrating several approaches emphasize the need for unified generic commonsense knowledgebase for visual applications. In this paper, we propose a novel commonsense knowledgebase that forms the link between the visual world and its semantic textual representation. We refer to it as "VisualNet". VisualNet is obtained by our fully automated engine that constructs a new unified structure concluding the knowledge from two commonsense knowledgebases, namely WordNet and ConceptNet. This knowledge is extracted by performing analysis operations on WordNet and ConceptNet contents, and then only useful knowledge in visual domain applications is considered. Moreover, this automatic engine enables this knowledgebase to be developed, updated and maintained automatically, synchronized with any future enhancement on WordNet or ConceptNet. Statistical properties of the proposed knowledgebase, in addition to an evaluation of a sample application results, show coherency and effectiveness of the proposed knowledgebase and its automatic engine.

Item Type: Book section
DOI/Identification number: 10.1109/ICICISYS.2009.5358084
Uncontrolled keywords: indexing; image retrieval; engines; ontologies; computer science; performance analysis; knowledge management; application software; multimedia communication; broadcasting
Subjects: Q Science > Q Science (General) > Q335 Artificial intelligence
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.575 Multimedia systems
Q Science > QA Mathematics (inc Computing science) > QA 76 Software, computer programming, > QA76.76.E95 Expert Systems (Intelligent Knowledge Based Systems)
T Technology > TA Engineering (General). Civil engineering (General) > TA1637 Image processing
Divisions: Faculties > Sciences > School of Computing > Computational Intelligence Group
Faculties > Sciences > School of Engineering and Digital Arts > Image and Information Engineering
Depositing User: Amjad Altadmri
Date Deposited: 15 Jan 2015 21:54 UTC
Last Modified: 19 Sep 2019 15:09 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/45942 (The current URI for this page, for reference purposes)
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