TY - GEN
T1 - SmartPhoto
T2 - 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing, MobiHoc 2014
AU - Wang, Yi
AU - Hu, Wenjie
AU - Wu, Yibo
AU - Cao, Guohong
N1 - Publisher Copyright:
© 2015 ACM.
PY - 2014/8/11
Y1 - 2014/8/11
N2 - 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 crowd-sourced photos based on the accessible geographical and geo-metrical information (called metadata) including the smart-phone'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. Three optimization problems regarding the tradeoffs between photo utility and resource constraints, namely the Max-Utility problem, the online Max-Utility problem and the Min-Selection problem, are studied. Efficient algorithms are proposed and their performance bounds are theoretically proved. We have implemented SmartPhoto in a testbed using Android based smart-phones, and proposed techniques to improve the accuracy of the collected metadata by reducing sensor reading errors and solving object occlusion issues. Results based on real implementations and extensive simulations demonstrate the effectiveness of the proposed algorithms.
AB - 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 crowd-sourced photos based on the accessible geographical and geo-metrical information (called metadata) including the smart-phone'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. Three optimization problems regarding the tradeoffs between photo utility and resource constraints, namely the Max-Utility problem, the online Max-Utility problem and the Min-Selection problem, are studied. Efficient algorithms are proposed and their performance bounds are theoretically proved. We have implemented SmartPhoto in a testbed using Android based smart-phones, and proposed techniques to improve the accuracy of the collected metadata by reducing sensor reading errors and solving object occlusion issues. Results based on real implementations and extensive simulations demonstrate the effectiveness of the proposed algorithms.
UR - http://www.scopus.com/inward/record.url?scp=84939807945&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84939807945&partnerID=8YFLogxK
U2 - 10.1145/2632951.2632979
DO - 10.1145/2632951.2632979
M3 - Conference contribution
AN - SCOPUS:84939807945
T3 - Proceedings of the International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)
SP - 113
EP - 122
BT - MobiHoc 2014 - Proceedings of the 15th ACM International Symposium on Mobile Ad Hoc Networking and Computing
PB - Association for Computing Machinery
Y2 - 11 August 2014 through 14 August 2014
ER -