1. Method for classifying a video sequence (VS), characterized by analyzing the video sequence using a plurality of genre-specific detector modules (M 1 -M 5 ), each genre-specific detector module providing a probability value (P 1 -P 5 ) indicating the probability that the video sequence belongs to the genre assigned to the genre-specific detector module; and analyzing the probability values of the plurality of genre-specific detector modules using a combiner (CM) which analyzes said probability values and generates a classification signal (SC) classifying the video sequence as belonging to a specific genre (g); wherein the probability values of the plurality of genre-specific detector modules are analyzed by a first evaluating unit (EU 1 ) of said combiner, said first evaluating unit providing a first probability vector (V 1 ) comprising for each genre a first probability value indicating the probability that the video sequence belongs to the respective genre, and a first preliminary decision (PD 1 ) indicating which genre the video sequence presumably belongs to, the probability values of the plurality of genre-specific detector modules are further analyzed by a second evaluating unit (EU 2 ) of said combiner, said second evaluating unit providing a second probability vector (V 2 ) indicating for each genre a second probability value indicating the probability that the video sequence belongs to the respective genre, and a second preliminary decision (PD 2 ) indicating which genre the video sequence presumably belongs to, wherein the first evaluating unit and the second evaluating unit differ in their analyzing algorithm; and said classification signal is generated based on an evaluation of said first and second preliminary decisions, wherein if the first and second preliminary decision indicate the same genre, a classification signal is generated which classifies the video sequence as belonging to said same genre, wherein if the first and second preliminary decision indicate different genres, the first and second probability vectors are further analyzed and the classification signal is generated based on the result of said analysis, wherein the step of generating said classification signal includes: adding the first and second probability vectors and generating a sum vector (Vsum), each coordinate of said sum vector being assigned to a specific genre; determining the highest coordinate value of the sum vector; determining the genre which is assigned to the coordinate with the highest coordinate value; and generating a classification signal which classifies the video sequence as belonging to the genre associated with the coordinate having the highest coordinate value.