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Home / programming language / Android Projects / SmartPhoto: A Resource-Aware Crowdsourcing Approach for Image Sensing with Smartphones
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SmartPhoto: A Resource-Aware Crowdsourcing Approach for Image Sensing with Smartphones

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SKU: PROJ7588 Categories: 2017 Projects, Android Projects, Final Year Projects, programming language Tags: Android Project, Asp.Net Project, C# Project, Computer Engineering Final Year Projects, Computer Science Final Year Projects, Electronics Projects Engineering Students Final Year, Engineering Student Project Ideas, Final Semester Projects, Final Year Project Center, Final Year Projects, ieee ECE Projects, ieee EEE Projects, ieee Final Year Projects, IEEE Projects, ieee Projects Networking, Image Processing Projects, J2EE Project, Java Project, Java Project Code, Matlab Project, PHP Project, Students Projects
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SmartPhoto: A Resource-Aware Crowdsourcing
Approach for Image Sensing with Smartphones

Abstract— Photos obtained via crowdsourcing can be used in many critical applications. Due to the limitations of communication bandwidth, storage, and processing capability, it is a challenge to transfer the huge amount of crowdsourced photos. To address this problem, we propose a framework, called SmartPhoto, to quantify the quality (utility) of crowdsourced photos based on the accessible geographical and geometrical information (called metadata) including the smartphone’s orientation, position, and all related parameters of the built-in camera. From the metadata, we can infer where and how the photo is taken, and then only transmit the most useful photos. Four optimization problems regarding the tradeoffs between photo utility and resource constraints, namely Max-Utility,
online Max-Utility, Min-Selection, and Min-Selection with k-coverage, are studied. Efficient lgorithms are proposed and their performance bounds are theoretically proved. < final year projects >

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