Zdziarski, Zbigniew and Bourges, Cyril and Mitchell, Joe and Houdyer, Pierre and Johnson, Dave and Dahyot, Rozenn (2014) On summarising the ‘here and now’ of social videos for smart mobile browsing. 2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM). pp. 1-5.

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Abstract

The amount of media that is being uploaded to social sites (such as Twitter, Facebook and Instagram) is providing a wealth of visual data (images and videos) augmented with additional information such as keywords, timestamps and GPS coordinates. Tapastreet 1 provides access in real-time to this visual content by harvesting social networks for visual media associated with particular locations, time and hashtags [1]. Browsing efficiently through harvested videos requires smart processing to give users a quick overview of their content in particular when using mobile platforms with limited bandwidth. This paper aims at presenting an architecture for testing several strategies for processing summaries of videos collected on social networks to tackle this issue.

Item Type:	Article
Keywords:	Social Media; Web Harvesting; Video Summarisation; Blur Detection; MPEG Codec;
Academic Unit:	Faculty of Science and Engineering > Research Institutes > Hamilton Institute
Item ID:	15268
Identification Number:	https://doi.org/10.1109/IWCIM.2014.7008797
Depositing User:	Rozenn Dahyot
Date Deposited:	18 Jan 2022 16:08
Journal or Publication Title:	2014 International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM)
Publisher:	IEEE
Refereed:	Yes
URI:	Publisher
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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