Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos

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9 Citations (Scopus)
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Current activity recognition based assistive living solutions have adopted relatively rigid models of inhabitant activities. These solutions have some deficiencies associated with the use of these models. To address this, a goal-oriented solution has been proposed. In a goal-oriented solution, goal models offer a method of flexibly modelling inhabitant activity. The flexibility of these goal models can dynamically produce a large number of varying action plans that may be used to guide inhabitants. In order to provide illustrative, video-based, instruction for these numerous actions plans, a number of video clips would need to be associated with each variation. To address this, rich metadata may be used to automatically match appropriate video clips from a video repository to each specific, dynamically generated, activity plan. This study introduces a mechanism of automatically generating suitable rich metadata representing actions depicted within video clips to facilitate such video matching. This performance of this mechanism was evaluated using eighteen video files; during this evaluation metadata was automatically generated with a high level of accuracy.
Original languageEnglish
JournalJournal of Medical Systems
Issue number9
Publication statusPublished (in print/issue) - 8 Aug 2015


  • Assistive living
  • Automated speech recognition
  • Metadata
  • Ontology
  • Parsing
  • Smart environments
  • Video


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