Metadata Extraction and Classification of YouTube Videos Using Sentiment Analysis
Ramalingam, Soodamani
(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), USA.
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.
Item Type | Book Section |
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Additional information | 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. |
Keywords | mpeg, metadata extraction, video processing, sentiment analysis, polarity |
Date Deposited | 15 May 2025 16:37 |
Last Modified | 30 May 2025 23:15 |
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