Please use this identifier to cite or link to this item: https://ktisis.cut.ac.cy/handle/10488/4037
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. 
Tsapatsoulis, Nicolas 
Keywords: Video Abstraction;Social Media;Facebook;EdgeRank;Fuzzy Representation;CLARANS
Category: Electrical Engineering - Electronic Engineering - Information Engineering
Field: Engineering and Technology
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/handle/10488/4037
http://hdl.handle.net/10488/4037
DOI: 10.1109/ICIP.2013.6738553
Rights: © IEEE
Type: Conference Papers
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

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