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This paper, introduces the application of Content-Based Music Information Retrieval (CBMIR) in wireless ad-hoc networks. We investigate for the first time the challenges posed by the wireless medium and recognise the factors that require optimisation. We propose novel techniques, which attain a significant reduction in both response times and traffic,(More)
This paper presents an algorithm that efficiently retrieves audio data similar to an audio query. The proposed method utilises a feature extraction method for acoustical music sequences. The extracted features are grouped by Minimum Bounding Rectangles (MBRs) and indexed by means of a spatial access method. We also present a novel false alarm resolution(More)
In this work, we study collective intelligence behavior of Web users that share and watch video content. We propose that the aggre-gated users' video activity exhibits characteristic patterns that may be used in order to infer important video scenes thus leading to collective intelligence concerning the video content. In particular, we have utilised a(More)
This paper presents a case-study of the effectiveness of a trained system into classifying Greek songs according to their audio characteristics or/and their lyrics into moods. We examine how the usage of different algorithms, featureset combinations and pre-processing parameters affect the precision and recall percentages of the classification process for(More)
This paper presents a genre classification algorithm for music data. The proposed methodology relies on note pitch and duration features, derived from the repeating terns and duration histograms of a musical piece, respectively. Note-information histograms have a great capability in capturing a fair amount of information regarding harmonic as well as(More)
BACKGROUND Drug treatment is becoming more expensive due to the increased cost for the introduction of new drugs, and there seems to be an uneven distribution of medication cost for different therapeutic categories. We hypothesized that the cost of new antimicrobial agents may differ from that of other therapeutic categories and this may play a role in the(More)
This paper introduces the problem of discovering maximum-length repeating patterns in music objects. A novel algorithm is presented for the extraction of this kind of patterns from a melody music object. The proposed algorithm discovers all maximum-length repeating patterns using an " aggressive " accession during searching, by avoiding costly repetition(More)