Please use this identifier to cite or link to this item:
|Title:||Video abstraction in social media: augmenting facebook's EdgeRank algorithm in video content presentation||Authors:||Ntalianis, Klimis S.
Doulamis, Anastasios D.
Doulamis, Nikolaos D.
|Issue Date:||2013||Publisher:||IEEE||Source:||20th IEEE International Conference on Image Processing, 2013, Melbourne, Australia, 15-18 September||Abstract:||Social networks need to manage and control the drift of huge amounts of information by filtering and summarizing everything, in order to ensure they satisfy users' viewing pleasure. Until now social media content has already been used in a variety of applications such as for ranking of news stories, for profiling of user preferences, even for products’ recommendations. However, this type of conversational, user-generated content might be used to add value to more traditional event media, such as video. In this paper we examine the capability of automatically producing meaningful summaries of generic videos. To do so we consider EdgeRank’s affinity, weight and time decay parameters and implement a CLARANS-based key-frames extraction scheme. This paper forms an initial study of a social media video abstraction service and experiments indicate its promising performance.||URI:||http://ktisis.cut.ac.cy/jspui/handle/10488/4037
|Appears in Collections:||Δημοσιεύσεις σε συνέδρια/Conference papers|
Show full item record
checked on Apr 7, 2017
checked on Jun 24, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.