Title
Video Abstraction In Social Media: Augmenting Facebook'S Edgerank Algorithm In Video Content Presentation
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.
Year
DOI
Venue
2013
10.1109/ICIP.2013.6738553
2013 20TH IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING (ICIP 2013)
Keywords
Field
DocType
Video Abstraction, Social Media, Facebook, EdgeRank, Fuzzy Representation, CLARANS
Abstraction,Social network,Profiling (computer programming),Computer science,Fuzzy set,Artificial intelligence,Computer vision,World Wide Web,Social media,Ranking,Feature extraction,Video tracking,Multimedia
Conference
ISSN
Citations 
PageRank 
1522-4880
0
0.34
References 
Authors
11
4
Name
Order
Citations
PageRank
Klimis S. Ntalianis16615.74
Anastasios D. Doulamis288393.64
Nikolaos Doulamis369180.72
Nicolas Tsapatsoulis429546.57