Functional and QoS Semantics-Driven SOA-Based Biomedical Multimedia Processing

Author:

Liu Shih-Hsi1,Cao Yu1,Li Ming1,Smith Thell1,Harris John1,Bao Jie2,Bryant Barrett R.3,Gray Jeff3

Affiliation:

1. California State University – Fresno, USA

2. Rensselaer Polytechnic Institute, USA

3. University of Alabama at Birmingham, USA

Abstract

Although there have existed a wide range of techniques of biomedical multimedia processing, none of them could be generally satisfied by various domains. The main reason for such deficiency is due to the correlative nature between biomedical multimedia data and the techniques applied to them. This book chapter introduces an SOA-based biomedical multimedia infrastructure with a pre-processing component. Such an infrastructure adapts the concepts of requirements elicitation of Software Engineering as well as a training set of Machine Learning to analyze functional and QoS properties of biomedical multimedia data in advance. Such properties will be constructed as ontology and used for selecting the most appropriate services to perform data analysis, transmission, or retrieval. Two medical education projects are introduced as case studies to illustrate the usage of functional and QoS semantics extracted from a feature extraction service to improve the performance of subsequent classification service and searching service, respectively.

Publisher

IGI Global

Reference59 articles.

1. Bailer, W., & Schallauer, P. (2008). An MPEG-7 extension for describing visual impairments. In Proceedings of International Workshop on Image Analysis for Multimedia Interactive, (pp. 118-121).

2. Bao, J., Cao, Y., Tavanapong, W., & Honavar, V. (2004). Integration of domain-specific and domain-independent ontologies for colonoscopy video database annotation. In Proceedings of the International Conference on Information and Knowledge Engineering, (pp. 82-88).

3. Barreto, C., Bullard, V., Erl, T., Evdemon, J., Jordan, D., Kand, K., et al. (2007). Web services business process execution language. Retrieved from http://www.oasis-open.org/committees/wsbpel/

4. Cao, Y., Li, D., Tavanapong, W., Oh, J., Wong, J., & Groen, P. C. (2004c). Parsing and browsing tools for colonoscopy videos. In ACM Multimedia, 844-851.

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