Semantic description of multimedia contents for the optimization of the advertising impact on TV program grids

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.