Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications

Altadmri, Amjad and Ahmed, Amr and Mohtasseb Billah, Haytham (2012) Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications. Neural Information Processing. Lecture Notes in Computer Science, 7663 . pp. 640-647. ISSN 0302-9743

Full content URL: http://link.springer.com/chapter/10.1007/978-3-642...

Documents
Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications
[img]
[Download]
[img]
Preview
PDF
__ddat02_staffhome_jpartridge_Semantic levels of domain-independent commonsense knowledgebase for visual indexing and retrieval applications.pdf - Whole Document

226kB
Item Type:Article
Item Status:Live Archive

Abstract

Building intelligent tools for searching, indexing and retrieval applications is needed to congregate the rapidly increasing amount of visual data. This raised the need for building and maintaining ontologies and knowledgebases to support textual semantic representation of visual contents, which is an important block in these applications. This paper proposes a commonsense knowledgebase that forms the link between the visual world and its semantic textual representation. This domain-independent knowledge is provided at different levels of semantics by a fully automated engine that analyses, fuses and integrates previous commonsense knowledgebases. This knowledgebase satisfies the levels of semantic by adding two new levels: temporal event scenarios and psycholinguistic understanding. Statistical properties and an experiment evaluation, show coherency and effectiveness of the proposed knowledgebase in providing the knowledge needed for wide-domain visual applications.

Keywords:Video Annotation, Semantic Video Annotation, Automatic Semantic Video Annotation, semantic gap, Video Retrieval, video search engine, Video Information Retrieval, Commonsense Knowledgebase, Commonsense Knowledgebases, Commonsense Knowledge bases, Video matching, Video Similarity
Subjects:G Mathematical and Computer Sciences > G400 Computer Science
G Mathematical and Computer Sciences > G450 Multi-media Computing Science
G Mathematical and Computer Sciences > G720 Knowledge Representation
G Mathematical and Computer Sciences > G740 Computer Vision
Divisions:College of Science > School of Computer Science
ID Code:8819
Deposited On:05 Apr 2013 08:00

Repository Staff Only: item control page