Abstract | ||
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The growth of digital television over satellite, cable, and terrestrial networks has driven advertisers to squarebetter targetsquare users by customized and personalized advertisements. Advertisements, whose content and theme are relevant and related to ongoing programssquare content and theme, are known to have better impact on viewers. In this paper, we propose a system for the selection, filtering, and presentation of advertisements based on detected program events and profiles contained in Home Information System. A comprehensive event prediction and event analysis is performed based on which relevant ads are either selected for transport stream insertion or for caching purposes. The system also describes the notion of ActiveAd to achieve self-evaluation and self-transformation of ad to increase its relevance with respect to an event. |
Year | DOI | Venue |
---|---|---|
2004 | 10.1109/ICME.2004.1394624 | ICME |
Keywords | Field | DocType |
advertising,digital video broadcasting,video streaming,ActiveAd,advertisement filtering,advertisement presentation,advertisement selection,caching,customized advertisements,digital television,event analysis,event prediction,home information system,personalized advertisements,program events,semantics based ad selection,transport stream insertion | Information system,Information retrieval,Pattern recognition,Computer science,Video streaming,Digital television,Artificial intelligence,Satellite broadcasting,Digital Video Broadcasting,Multimedia,Event analysis,Semantics | Conference |
Volume | Citations | PageRank |
3 | 5 | 0.53 |
References | Authors | |
1 | 3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Amit Thawani | 1 | 17 | 3.61 |
Srividya Gopalan | 2 | 49 | 10.05 |
V. Sridhar | 3 | 46 | 9.84 |