DocumentCode :
2753440
Title :
Contextual Advertising for IPTV Using Automated Metadata Generation
Author :
Begeja, Lee ; Van Vleck, Paul
fYear :
2009
fDate :
10-13 Jan. 2009
Firstpage :
1
Lastpage :
5
Abstract :
Current IPTV monetization focuses on mainstream programming that is well understood, with metadata that is stored in advance. Current contextual advertising is focused on web searches and static information. As the demand for online internet video grows into the IPTV market, the need to monetize it effectively becomes important. As the advertising market for IPTV expands into less mainstream video (e.g. YouTube and other user generated content) it becomes more important to automate the generation of metadata for the video The metadata associated with self-described YouTube videos are unreliable and can not be used as a basis for effective contextual advertising. Automatic generation, however, brings down the cost of creating metadata and gives advertisers a neutral party that evaluates the data. We propose a system in which a trusted intermediary automatically generates reliable metadata for multimedia.
Keywords :
IPTV; Internet; advertising; customer profiles; meta data; multimedia computing; IPTV monetization; Internet video; automated metadata generation; contextual advertising; mainstream programming; multimedia metadata; Advertising; Automatic programming; Costs; IPTV; Internet; MPEG 7 Standard; Streaming media; TV; Web search; YouTube;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Consumer Communications and Networking Conference, 2009. CCNC 2009. 6th IEEE
Conference_Location :
Las Vegas, NV
Print_ISBN :
978-1-4244-2308-8
Electronic_ISBN :
978-1-4244-2309-5
Type :
conf
DOI :
10.1109/CCNC.2009.4784882
Filename :
4784882
Link To Document :
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