Paper Info
Title
Semantic description of multimedia contents for the optimization of the advertising impact on TV program grids
Abstract
The problem of advertising impact optimization in program grids consists to find a fully design of advertising contents in the program grid maximizing the satisfaction of advertisers and viewers. In this work, the problem of advertising impact optimization of program grids is approached. Standards for semantic description of multimedia contents are used for expressing contents in a television grid and the optimization process is based on semantic similarity measures between the descriptions of the TV contents. The overall optimization of the advertising impact is guaranteed using an evolutive approach.
Year
DOI
Venue
2010
10.1109/IJCNN.2010.5596957
Neural Networks
Keywords
Field
DocType
advertising,digital television,multimedia systems,optimisation,programming language semantics,TV content,TV program grid,advertising content,advertising impact optimization,multimedia content,optimization process,semantic description,semantic similarity measures,television grid
Semantic similarity,Ontology (information science),Advertising,Computer science,Digital television,Multimedia,Grid,Semantics
Conference
ISSN
ISBN
Citations 
1098-7576
978-1-4244-6916-1
1
PageRank 
References 
Authors
0.36
6
6
Name
Order
Citations
PageRank
Teresa García-Valverde1626.88
Alberto Caballero2485.82
Juan A. Botía337035.47
Antonio F. Gómez-Skarmeta473493.79
Garcia-Valverde, T.510.36
Gomez-Skarmeta, A.610.36