Social-Sensor Cloud Service for Scene Reconstruction

被引：8

作者：

Aamir, Tooba ^{[1
]}

Bouguettaya, Athman ^{[2
]}

Dong, Hai ^{[1
]}

Mistry, Sajib ^{[2
]}

Erradi, Abdelkarim ^{[3
]}

机构：

[1] RMIT Univ, Sch Sci, Melbourne, Vic, Australia

[2] Univ Sydney, Sch Informat Technol, Sydney, NSW, Australia

[3] Qatar Univ, Coll Engn, Doha, Qatar

来源：

SERVICE-ORIENTED COMPUTING, ICSOC 2017 | 2017年 / 10601卷

基金：

澳大利亚研究理事会;

关键词：

EVENT DETECTION; SURVEILLANCE;

D O I：

10.1007/978-3-319-69035-3_3

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

We propose a new social-sensor cloud services selection framework for scene reconstruction. The proposed research represents social media data streams, i.e., images' metadata and related posted information, as social sensor cloud services. The functional and non-functional aspects of social sensor cloud services are abstracted from images' metadata and related posted information. The proposed framework is a 4-stage algorithm, to select social-sensor cloud services based on the user queries. The selection algorithm is based on spatio-temporal indexing, spatio-temporal and textual correlations, and quality of services. Analytical results are presented to prove the efficiency of the proposed approach in comparison to a traditional approach of image processing.

引用

页码：37 / 52

页数：16

共 21 条

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