Abstract
Our work is within the framework of studying and implementing a sound analysis system in a telemedicine project. The task of this system is to detect situations of distress in a patient’s room based on sound analysis. If such a situation is detected, an alarm will be automatically sent to the medical centre. In this paper we present our works on building domain ontology of such situations. They gather abstract concepts of sounds and these concepts, along with their properties and instances, are represented by a neural network. The ontology-based classifier uses outputs of networks to identify classes of audio scenes. The system is tested with a database extracted from films.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
References
Amatriain, X., Herrera, P.: Transmitting Audio Contents as Sound Objects. In: Proceedings of AES 22th International Conference on Virtual, Synthetic and Entertainment Audio, Espoo Finland (2002)
Breen, C., Khan, L., Kumar, A., Wang, L.: Ontology-Based Image Classification Using Neural Networks. In: Proc. SPIE (the International Society for Optical Engineering), vol. 4862, pp. 198–208 (2002)
Cano, P., Koppenberger, M., Celma, O., Herrera, P., Tarasov, V.: Sound Effects Taxonomy Management in Production Environments. In: Proceedings of AES 25th International Conference, London, UK (2004)
Carey, M.J., Parris, E.S., Lloyd-Thomas, H.: A Comparision of Features for Speech, Music Discrimination. In: Proceedings of the International Conference on Acoustics, Speech and Signal Processing, Munich Germany (1997)
Casey, M.: MPEG-7 Sound-Recognition Tools. IEEE Transaction on Circuits and Systems for Video Technology 11(6) (2001)
Dey, L., Abulaish, M.: Ontology Enhancement for Including Newly Acquired Knowledge about Concept Descriptions and Answering Imprecise Queries. In: Web Semantics Ontology, pp. 189–225. Idea Group (2006)
Gene Ontology Home: http://www.geneontology.org/
Gruber, T.R.: A Translation Approach to Portable Ontology Specifications. Knowledge Acquisition 5(2), 199–220 (1993)
Hatala, M., Kalantari, L., Wakkary, R., Newby, K.: Ontology and Rule Based Retrieval of Sound Objects in Augmented Audio Reality System for Museum Visitors. In: Proceedings of the 2004 ACM Symposium on Applied Computing, Nicosia, Cyprus, pp. 1045–1050 (2004)
Istrate, D., Vacher, M., Castelli, E., Sérignat, J.F.: Distress Situation Identifcation though Sound Processing. An Application to Medical Telemonitoring. European Conference on Computational Biology, Paris (2003)
Istrate, D., Vacher, M., Serignat, J.F., Besacier, J.F., Castelli, E.: Système de Télésurveillance Sonore pour la Détection de Situation de Détresse (Sound Telesurveillance System for Distress Situations Detection). ITBM-RBM Elsevier (2006)
Istrate, D., Castelli, E., Vacher, M., Besacier, L., Serignat, J.F.: Sound Detection and Recognition in Medical Telemonitoring. IEEE Transactions on Information Technology in Biomedicine (to be published)
Khan, L., McLeod, D.: Audio Structuring and Personalized Retrieval Using Ontologies. In: Proceedings of IEEE Advances in Digital Libraries, Library of Congress, Washington DC, pp. 116–126 (2000)
Kim, H.G., Moreau, N., Sikora, T.: Audio Classification Based on MPEG-7 Spectral Basis Representations. IEEE Transactions on Circuits and Systems for Video Technology 14(5) (2004)
Laegreid, A., Hvidsten, T.R., Midelfart, H., Komorowski, J., Sandvik, A.K.: Predicting Gene Ontology Biological Process from Temporal Gene Expression Patterns. Genome Res. 13, 965–979 (2003)
Lu, L., Jiang, H., Zhang, H.J.: A Robust Audio Classification and Segmentation Method. ACM Multimedia, 203–211 (2001)
Maillot, N., Thonnat, M., Hudelot, C.: Ontology Based Object Learning and Recognition: Application to Image Retrieval. In: Proceedings of the 16th IEEE International Conference on Tools with Artificial Intelligence, Boca Raton FL, USA (2004)
Mezaris, V., Kompatsiaris, I., Strintzis, M.G.: An Ontology Approach to Object-Based Image Retrieval. In: Proceedings of the IEEE International Conference on Image Processing (2003)
Nakatani, T., Okuno, H.G.: Sound Ontology for Computational Auditory Scene Analysis. In: Proceedings of the fifteenth National Conference on Artificial Intelligence (AAAI-98), vol. 1, pp. 30–35 (1998)
Nguyen, C.P., Pham, N.Y., Castelli, E.: Toward a Sound Analysis System for Telemedicine. In: 2nd International Conference on Fuzzy Systems and Knowledge Discovery, Chansha, China (2005)
Noh, S., Seo, H., Choi, J., Choi, K., Jung, G.: Classifying Web Pages Using Adaptive Ontology. In: Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Washington DC, pp. 2144–2149 (2003)
Pfeiffer, S., Fischer, S., Effelsberg, W.: Automatic Audio Content Analysis. IEEE Multimedia 3(3), 27–36 (1996)
Prabowo, R., Jackson, M., Burden, P., Knoell, H.D.: Ontology-Based Automatic Classification for the Web Pages: Design, Implimentation and Evaluation. In: The 3rd International Conference on Web Information Systems Engineering, Singapore (2002)
Robinson, P.N., Wollstein, A., Bohme, U., Beattie, B.: Ontologizing Gene-Expression Microarray Data: Characterizing Clusters with Gene Ontology. Bioinformatics 20(6), 979–981 (2004)
Taghva, K., Borsack, J., Coombs, J., Condit, A., Lumos, S., Nartker, T.: Ontology-Based Classification of Email. In: International Conference on Information Technology: Computers and Communications, Las Vegas Nevada (2003)
Wallace, M., Avrithis, Y., Stamou, G., Kollias, S.: Knowledge-Based Multimedia Content Indexing and Retrieval. Multimedia Content and the Semantic Web – Methods Standards and Tools, pp. 299–338. Wiley, Chichester (2005)
Wu, S.H., Tsai, T.H., Hsu, W.L.: Text Categorization Using Automatically Acquired Domain Ontology. In: The Sixth International Workshop on Information Retrieval with Asian Languages, Sapporo Japan, pp. 138–145 (2003)
Zhang, D., Gatica-Perez, D., Bengio, S., McCowan, I.: Semi-supervised Adapted HMMs for Unusual Event Detection. In: IEEE Conference on Computer Vision and Pattern Recognition, San Diego USA (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Nguyen, C.P., Pham, N.Y., Castelli, E. (2006). First Steps to an Audio Ontology-Based Classifier for Telemedicine. In: Li, X., Zaïane, O.R., Li, Z. (eds) Advanced Data Mining and Applications. ADMA 2006. Lecture Notes in Computer Science(), vol 4093. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11811305_92
Download citation
DOI: https://doi.org/10.1007/11811305_92
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-37025-3
Online ISBN: 978-3-540-37026-0
eBook Packages: Computer ScienceComputer Science (R0)