Audio query by example using similarity measures between probability density functions of features
EURASIP Journal on Audio, Speech, and Music Processing - Special issue on scalable audio-content analysis
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Systems for content base d image retrieval typically supp ort access to database images through the query-by-example paradigm. This includes query-by-image and query-by-sketch. Since query-by-sketch can be difficult in some cases - lack of sketching abilities, difficulty to detect distinguishing image features - generally querying is performed through the query-by-image paradigm.A limiting factor of this paradigm is that a single sample image rarely includes all and only the characterizing elements the user is looking for. In this paper a system is presented that supports query-by-image using multiple image examples. Examples can be positive and negative and can be edited in order to disregard un-relevant image features.