Axes rectifying of impression space in music impression-based retrieval and its evaluation
AIKED'07 Proceedings of the 6th Conference on 6th WSEAS Int. Conf. on Artificial Intelligence, Knowledge Engineering and Data Bases - Volume 6
Content-Based affective image classification and retrieval using support vector machines
ACII'05 Proceedings of the First international conference on Affective Computing and Intelligent Interaction
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The paper clarifies that the main factors of sensitivity work well for accessing multimedia data. The main factors of sensitivity are the fundamental factors of human sensitivity. These are obtained by applying the factor analysis of the scores put to multimedia data for impression words. Five main factors are obtained for pictures, and four for sounds. Three main factors of sensitivity are in common for pictures and sounds. Substituting the feature values of multimedia data, which are called sensitivity measures, for the factor scores enables a lot of multimedia data to be retrieved through the impression words such as beautiful and fresh. Moreover, the sounds corresponding to a picture can be obtained by evaluating whether the sensitivity measures of sounds are similar to those of the picture. This function is called mixed-media navigation. A prototype system is constructed and evaluated. The evaluation results show that the prototype system can retrieve suitable multimedia data.