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M.G.: Knowledge-assisted semantic video object detection (2005)
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| Venue: | IEEE Transactions on Circuits and Systems for Video Technology |
| Citations: | 52 - 14 self |
BibTeX
@ARTICLE{Dasiopoulou05m.g.:knowledge-assisted,
author = {Stamatia Dasiopoulou and Vasileios Mezaris and Ioannis Kompatsiaris and Vasileios-kyriakos Papastathis and Michael G. Strintzis},
title = {M.G.: Knowledge-assisted semantic video object detection},
journal = {IEEE Transactions on Circuits and Systems for Video Technology},
year = {2005},
pages = {1210--1224}
}
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Abstract
Abstract—An approach to knowledge-assisted semantic video object detection based on a multimedia ontology infrastructure is presented. Semantic concepts in the context of the examined domain are defined in an ontology, enriched with qualitative attributes (e.g., color homogeneity), low-level features (e.g., color model components distribution), object spatial relations, and multimedia processing methods (e.g., color clustering). Semantic Web technologies are used for knowledge representation in the RDF(S) metadata standard. Rules in F-logic are defined to describe how tools for multimedia analysis should be applied, depending on concept attributes and low-level features, for the detection of video objects corresponding to the semantic concepts defined in the ontology. This supports flexible and managed execution of various application and domain independent multimedia analysis tasks. Furthermore, this semantic analysis approach can be used in semantic annotation and transcoding systems, which take into consideration the users environment including preferences, devices used, available network bandwidth and content identity. The proposed approach was tested for the detection of semantic objects on video data of three different domains. Index Terms—Knowledge-assisted analysis, multimedia ontologies, video analysis. I.
Keyphrases
knowledge-assisted semantic video object detection semantic concept low-level feature semantic annotation multimedia ontology color model component distribution user environment examined domain video analysis semantic analysis approach available network bandwidth multimedia processing method multimedia analysis color clustering object spatial relation concept attribute index term knowledge-assisted analysis different domain video object knowledge representation various application content identity proposed approach qualitative attribute video data color homogeneity semantic object domain independent multimedia analysis task semantic web technology multimedia ontology infrastructure
