dc.contributor.author | Ramalingam, Soodamani | |
dc.date.accessioned | 2016-11-16T19:00:26Z | |
dc.date.available | 2016-11-16T19:00:26Z | |
dc.date.issued | 2016-10-24 | |
dc.identifier.citation | Ramalingam , S 2016 , Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis . in IEEE International Carnahan Conference on Security Technology : ICCST2016 . Institute of Electrical and Electronics Engineers (IEEE) , US , IEEE International Carnahan Conference on Security Technology , Orlando, Florida , United States , 24/10/16 . | |
dc.identifier.citation | conference | |
dc.identifier.uri | http://hdl.handle.net/2299/17326 | |
dc.description | Soodamani, R & Varsani, V (2016), Vehicle Detection for Traffic Flow Analysis, ICCST2016, Paper presented at the IEEE International Carnahan Conference on Security Technology, 24-27 October 2016, Orlando, Florida. | |
dc.description.abstract | MPEG media have been widely adopted and is very successful in promoting interoperable services that deliver video to consumers on a range of devices. However, media consumption is going beyond the mere playback of a media asset and is geared towards a richer user experience that relies on rich metadata and content description. This paper proposes a technique for extracting and analysing metadata from a video, followed by decision making related to the video content. The system uses sentiment analysis for such a classification. It is envisaged that the system when fully developed, is to be applied to determine the existence of illicit multimedia content on the web. | en |
dc.format.extent | 7 | |
dc.format.extent | 452697 | |
dc.language.iso | eng | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.relation.ispartof | IEEE International Carnahan Conference on Security Technology | |
dc.subject | MPEG | |
dc.subject | metadata extraction | |
dc.subject | video processing | |
dc.subject | sentiment analysis | |
dc.subject | polarity | |
dc.title | Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis | en |
dc.contributor.institution | Centre for Engineering Research | |
dc.contributor.institution | Digital Media Processing and Biometrics | |
dc.contributor.institution | Smart Electronics Devices and Networks | |
dc.contributor.institution | School of Engineering and Technology | |
rioxxterms.type | Other | |
herts.preservation.rarelyaccessed | true | |