Digital video for time based analysis systems
| dc.contributor.author | Weir, Lindsay Brian | en |
| dc.date.accessioned | 2014-07-24T02:57:02Z | |
| dc.date.available | 2014-07-24T02:57:02Z | |
| dc.date.issued | 1994 | en |
| dc.description.abstract | Research students within the Psychology Department at the University of Canterbury are involved in exploring emotional responses of human behaviour. Experiments of subjects are video taped and the tapes are subsequently analysed using pen and paper. This approach is time consuming and provides a relatively crude interface for analysis. In this thesis techniques to assist in the analysis of time dependent information are examined in general, although the emphasis is on human behaviour experiments. Digital video analysis methods are examined to evaluate their strengths and weaknesses in comparison to video tape methods. A working prototype system, Video Transcriptor, has been developed on a Macintosh computer in order to evaluate how digital video can assist in analysing human behaviour. This prototype system uses the facilities of QuickTime, Apple's solution to handling time based digital video information. There is a lack of standards for controlling digital video information, so an analysis of various Human-Computer Interface metaphors has been explored. For transcription purposes, an adaptive note-taking facility has been implemented to assist in the analysis of human behaviour. This thesis shows the benefits that digital video provides for the analysis and note-taking of human behaviours compared to video tape methods. The random access capabilities of digital video offer increased control of the video information, which provides faster note-taking and more accurate results compared to video tape based methods of analysis. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/9406 | |
| dc.identifier.uri | http://dx.doi.org/10.26021/2119 | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury. Computer Science | en |
| dc.relation.isreferencedby | NZCU | en |
| dc.rights | Copyright Lindsay Brian Weir | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.title | Digital video for time based analysis systems | en |
| dc.type | Theses / Dissertations | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Masters | en |
| thesis.degree.name | Master of Science | en |
| uc.bibnumber | 437383 | |
| uc.college | Faculty of Engineering | en |
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