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Social-Sensor Composition for Scene Analysis

Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 11236)

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 social-sensor 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.

Notes

Acknowledgement

This research was partly made possible by NPRP 9-224-1-049 grant from the Qatar National Research Fund (a member of The Qatar Foundation) and DP1601 00149 and LE180100158 grants from Australian Research Council. The statements made herein are solely the responsibility of the authors.

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Copyright information

© Springer Nature Switzerland AG 2018

Authors and Affiliations

  1. 1.School of ScienceRMIT UniversityMelbourneAustralia
  2. 2.School of Information TechnologiesThe University of SydneySydneyAustralia

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