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    Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos

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    Automatic Metadata Generation Through Analysis Of Narration Within Instr....pdf (797.6Kb)
    Date
    2015-08-08
    Author
    Rafferty, Joseph;
    Nugent, Chris;
    Liu, Jun;
    Chen, Liming
    Metadata
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    Abstract
    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.
    Description
    The file attached to this record is the author's final peer reviewed version. The Publisher's final version can be found by following the DOI link.
    Citation : Rafferty, J. et al. (2015) Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos. Journal of Medical Systems, 39 (9): 94:1-94:7
    URI
    http://hdl.handle.net/2086/13778
    DOI
    http://dx.doi.org/10.1007/s10916-015-0295-2
    ISSN : 0148-5598
    Research Institute : Cyber Technology Institute (CTI)
    Peer Reviewed : Yes
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