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Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval

Altadmri, Amjad, Ahmed, Amr (2009) Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval. In: The 13th IASTED International Conference on Artificial Intelligence and Soft Computing, September 7 - 9, 2009, Palma de Mallorca, Spain.

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Abstract

The rapidly increasing amount of video collections, especially on the web, motivated the need for intelligent automated annotation tools for searching, rating, indexing and retrieval purposes. These videos collections contain all types of manually annotated videos. As this annotation is usually incomplete and uncertain and contains misspelling words, search using some keywords almost do retrieve only a portion of videos which actually contains the desired meaning. Hence, this annotation needs filtering, expanding and validating for better indexing and retrieval. In this paper, we present a novel framework for video annotation enhancement, based on merging two widely known commonsense knowledgebases, namely WordNet and ConceptNet. In addition to that, a comparison between these knowledgebases in video annotation domain is presented. Experiments were performed on random wide-domain video clips, from the \emph{vimeo.com} website. Results show that searching for a video over enhanced tags, based on our proposed framework, outperforms searching using the original tags. In addition to that, the annotation enhanced by our framework outperforms both those enhanced by WordNet and ConceptNet individually, in terms of tags enrichment ability, concept diversity and most importantly retrieval performance.

Item Type: Conference or workshop item (Paper)
Uncontrolled keywords: Knowledgebased Systems, Commonsense Knowledgebase, Computer Vision, Video Indexing, Commonsense Knowledge bases, Video Retrieval, Video Annotation, Video Databases, Video Databases Annotation
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 Analysis, Image Processing
Divisions: Faculties > Sciences > School of Computing
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 22:20 UTC
Last Modified: 29 May 2019 13:53 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/45944 (The current URI for this page, for reference purposes)
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