DocumentCode :
2972934
Title :
IPTV streaming source classification
Author :
Masciopinto, M. ; Comesaña, P.
Author_Institution :
Signal Theor. & Commun. Dept., Univ. of Vigo, Vigo, Spain
fYear :
2012
fDate :
2-5 Dec. 2012
Firstpage :
157
Lastpage :
162
Abstract :
In the last years video streaming over IP networks has changed the entertainment habits of society. Video on demand and multicast services have proliferated, bringing new challenges. Although the majority of the new service providers are compliant with copyright protection policies, some services are streamed without the proper rights, leading to a new kind of content piracy. Therefore, content right owners are interested in finding out the distribution channel followed by these unauthorized contents, in order to learn about illegal distributor sources. We present the first approach to this problem, in which we deal with the classification of IPTV streamed contents on satellital (DVB-S) or terrestrial (DVB-T) sources, both for live and delayed streaming. Our proposal is based on analyzing the time distribution of IP packet dispatches, extracting high-order statistics, and performing the source classification using a SVM. The reported results show the goodness of the proposed approach.
Keywords :
IP networks; IPTV; copyright; digital video broadcasting; multicast communication; statistical analysis; support vector machines; video on demand; video streaming; DVB-S source; DVB-T source; IP networks; IP packet dispatches; IPTV streaming source classification; SVM; content piracy; copyright protection; distribution channel; high-order statistics; multicast services; satellital source; terrestrial source; time distribution; video on demand; video streaming; Bit rate; Digital video broadcasting; IP networks; IPTV; Streaming media; Support vector machines; Training;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Forensics and Security (WIFS), 2012 IEEE International Workshop on
Conference_Location :
Tenerife
Print_ISBN :
978-1-4673-2285-0
Electronic_ISBN :
978-1-4673-2286-7
Type :
conf
DOI :
10.1109/WIFS.2012.6412642
Filename :
6412642
Link To Document :
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