|Author||Rama, Antonio ♦ Tarrés, Francesc ♦ Sanchez, Laura|
|Subject Domain (in DDC)||Computer science, information & general works ♦ Data processing & computer science|
|Subject Keyword||Cartoon Detection Using Fuzzy Integral1 ♦ Statistical Clasification Method ♦ Acceptable Result ♦ Flexible Scheme ♦ Push Scenario ♦ Non-linear Classifier ♦ Fuzzy Integral ♦ Recent Classification Technique ♦ Major Research Topic ♦ Specific Genre Detection ♦ Cartoon Detection ♦ Relevance Measure ♦ Digital Television Tv Program Classification ♦ Preliminary Result|
|Abstract||With the growth of digital television TV program classification has become a major research topic. Recent classification techniques have reported acceptable results for specific genre detection. Cartoons is one of these genres which has deceived some attention because of its importance in push scenarios where parents want to control their children’s access to television. In this paper a flexible scheme based on a non-linear classifier called Fuzzy Integral is presented. This operator is supposed not only to classify but also to give a relevance measure to all the features involved in the classification. Preliminary results using this operator for cartoon detection are presented and compared with other well known statistical clasification methods like PCA, LDA or K-NN.|
|Educational Role||Student ♦ Teacher|
|Age Range||above 22 year|
|Education Level||UG and PG ♦ Career/Technical Study|
|Learning Resource Type||Article|
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