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Automatic Summarization of Activities Depicted in Instructional Videos by Use of Speech Analysis

Rafferty, Joseph, Nugent, Chris, Liu, J. and Chen, Liming (2014) Automatic Summarization of Activities Depicted in Instructional Videos by Use of Speech Analysis. In: Ambient Assisted Living and Daily Activities. Springer, pp. 123-130. ISBN 978-3-319-13104-7 [Book section]

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DOI: 10.1007/978-3-319-13105-4_20

Abstract

Existing activity recognition based assistive living solutions have adopted a relatively rigid approach to modelling activities. To address the deficiencies of such approaches, a goal-oriented solution has been proposed that will offer a method of flexibly modelling activities. This approach does, however, have a disadvantage in that the performance of goals may vary hence requiring differing video clips to be associated with these variations. In order to address this shortcoming, the use of rich metadata to facilitate automatic sequencing and matching of appropriate video clips is necessary. This paper introduces a mechanism of automatically generating rich metadata which details the actions depicted in video files to facilitate matching and sequencing. This mechanism was evaluated with 14 video files, producing annotations with a high degree of accuracy.

Item Type:Book section
Keywords:Annotation Automated Speech Recognition Parsing Ontology Assistive Living Smart Environments Video Guidance
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Research Institutes and Groups:Computer Science Research Institute > Smart Environments
Computer Science Research Institute
Computer Science Research Institute > Artificial Intelligence and Applications
ID Code:32072
Deposited By: Mr Joseph Rafferty
Deposited On:15 Jul 2015 13:28
Last Modified:13 May 2016 14:28

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