Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos
dc.cclicence | CC-BY-NC-ND | en |
dc.contributor.author | Rafferty, Joseph | en |
dc.contributor.author | Nugent, Chris | en |
dc.contributor.author | Liu, Jun | en |
dc.contributor.author | Chen, Liming | en |
dc.date.acceptance | 2015-05-08 | en |
dc.date.accessioned | 2017-03-21T10:51:16Z | |
dc.date.available | 2017-03-21T10:51:16Z | |
dc.date.issued | 2015-08-08 | |
dc.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. | en |
dc.description.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. | en |
dc.funder | N/A | en |
dc.identifier.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 | en |
dc.identifier.doi | https://doi.org/10.1007/s10916-015-0295-2 | |
dc.identifier.issn | 0148-5598 | |
dc.identifier.uri | http://hdl.handle.net/2086/13778 | |
dc.peerreviewed | Yes | en |
dc.projectid | N/A | en |
dc.publisher | Springer US | en |
dc.researchinstitute | Cyber Technology Institute (CTI) | en |
dc.subject | Assistive living | en |
dc.subject | Automated speech recognition | en |
dc.subject | Metadata | en |
dc.subject | Ontology | en |
dc.subject | Parsing | en |
dc.subject | Smart environments | en |
dc.subject | Video | en |
dc.title | Automatic Metadata Generation Through Analysis of Narration Within Instructional Videos | en |
dc.type | Article | en |
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