University of Hertfordshire

By the same authors

Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis

Research output: Chapter in Book/Report/Conference proceedingConference contribution


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Original languageEnglish
Title of host publicationIEEE International Carnahan Conference on Security Technology
Subtitle of host publicationICCST2016
Place of PublicationUS
PublisherIEEE 978-1-5090
Number of pages7
Publication statusPublished - 24 Oct 2016
EventIEEE International Carnahan Conference on Security Technology - US, Orlando, Florida, United States
Duration: 24 Oct 201627 Oct 2016


ConferenceIEEE International Carnahan Conference on Security Technology
CountryUnited States
CityOrlando, Florida


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.


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.

ID: 10528436