Video databases annotation enhancing using commonsense knowledgebases for indexing and retrieval

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

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Item Type:Conference or Workshop contribution (Paper)
Item Status:Live Archive


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 widedomain video clips, from the 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.

Additional Information:Conference Code:80809
Keywords:Annotation tool, Commonsense knowledgebase, Indexing and retrieval, Knowledge base, Retrieval performance, Video annotations, Video clips, Video collections, Video database, Video indexing, Video semantics, Wordnet, Artificial intelligence, Computer vision, Ontology, Semantic Web, Semantics, Soft computing, Video recording, Indexing (of information)
Subjects:G Mathematical and Computer Sciences > G540 Databases
Divisions:College of Science > School of Computer Science
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ID Code:9867
Deposited On:22 Jan 2014 11:04

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