Social-Sensor Composition for Scene Analysis

Aamir, T, Dong, H and Bouguettaya, A 2018, 'Social-Sensor Composition for Scene Analysis', in Pahl C, et al (ed.) Proceedings of the 16th International Conference on Service-Oriented Computing (ICSOC2018), Hangzhou, China, 12-15 November 2018, pp. 352-362.


Document type: Conference Paper
Collection: Conference Papers

Title Social-Sensor Composition for Scene Analysis
Author(s) Aamir, T
Dong, H
Bouguettaya, A
Year 2018
Conference name ICSOC2018
Conference location Hangzhou, China
Conference dates 12-15 November 2018
Proceedings title Proceedings of the 16th International Conference on Service-Oriented Computing (ICSOC2018)
Editor(s) Pahl C, et al
Publisher Springer
Place of publication Cham, Switzerland
Start page 352
End page 362
Total pages 11
Abstract We consider the scene analysis as a service composition problem. A social-sensor cloud services composition model is proposed for the scene analysis. Our proposed model selects and composes social-sensor cloud services based on the user queries. Textual features of the socialsensor cloud services, i.e., description, comments, and meta-data of the social media images are used to reconstruct a scene. Our key contribution is an efficient and real-time composition of related images for scene analysis relying on meta-data and related posted information. Analytical results demonstrate the performance of the proposed model.
Subjects Natural Language Processing
Web Technologies (excl. Web Search)
Global Information Systems
DOI - identifier 10.1007/978-3-030-03596-9
Copyright notice © Springer Nature Switzerland AG 2018
ISBN 9783030035969
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