Heuristics based Mosaic of Social-Sensor Services for Scene
Reconstruction
- URL: http://arxiv.org/abs/2009.11663v1
- Date: Mon, 21 Sep 2020 07:00:50 GMT
- Title: Heuristics based Mosaic of Social-Sensor Services for Scene
Reconstruction
- Authors: Tooba Aamir, Hai Dong and Athman Bouguettaya
- Abstract summary: We propose a compos-based social-sensor cloud service selection and composition model to reconstruct mosaic scenes.
The proposed approach leverages crowdsourced social media images to create an image mosaic to reconstruct a scene at a designated location and an interval of time.
- Score: 0.483420384410068
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: We propose a heuristics-based social-sensor cloud service selection and
composition model to reconstruct mosaic scenes. The proposed approach leverages
crowdsourced social media images to create an image mosaic to reconstruct a
scene at a designated location and an interval of time. The novel approach
relies on the set of features defined on the bases of the image metadata to
determine the relevance and composability of services. Novel heuristics are
developed to filter out non-relevant services. Multiple machine learning
strategies are employed to produce smooth service composition resulting in a
mosaic of relevant images indexed by geolocation and time. The preliminary
analytical results prove the feasibility of the proposed composition model.
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