Adaptive User-defined Similarity Measure
نویسندگان
چکیده
With the aim of audiovisual database consulting, the prospect of an interactive visual organization tool should be enviable. We consider a document as a visual entity in a computer screen. Thanks to an appropriate simplified GUI, a user can organize a few documents. Its notion of audiovisual similarity is relative to the Euclidean distance between entities: the more they are close, the more they are similar. The system infers a measure of similarity, that relies on the analysis of low-level features, and reorganizes the remaining of the database. This measure, based on support vector regression, conciliates human perception of audiovisual similarity and low-level automatically extracted data.
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