Computer Science ›› 2019, Vol. 46 ›› Issue (6A): 11-15.
• Review • Previous Articles Next Articles
ZHAI Shu-ying1, LI Ru1, LI Bo1, HAO Shao-yang2
CLC Number:
[1]GUO B,WANG Z,YU Z,et al.Mobile Crowd Sensing and Computing:The Review of an Emerging Human-Powered Sensing Paradigm[J].Acm Computing Surveys,2015,48(1):7. [2]WANG L,ZHANG D,WANG Y,et al.Sparse mobile crow-dsensing:challenges and opportunities[J].IEEE Communications Magazine,2016,54(7):161-167. [3]GUO B,HAN Q,CHEN H,et al.The Emergence of Visual Crowdsensing:Challenges and Opportunities[J].IEEE Communications Surveys & Tutorials,2017,PP(99):1. [4]TENG X,GUO D,GUO Y,et al.SISE:Self-updating of Indoor Semantic Floorplans for General Entities[J].IEEE Transactions on Mobile Computing,2018,PP(99):1. [5]ZHANG Q,ZHANG Q,SHI W,et al.Firework:Data Proces-sing and Sharing for Hybrid Cloud-Edge Analytics[J].IEEE Transactions on Parallel & Distributed Systems,2018,PP(99):1. [6]TENG X,GUO D,GUO Y,et al.IONavi:an indoor-outdoor navigation service via mobile crowdsensing[J].ACM Transactions on Sensor Networks,2017,13(2):12. [7]ZUO P,HUA Y,LIU X,et al.BEES:Bandwidth- and Energy- Efficient Image Sharing for Real-Time Situation Awareness[C]∥IEEE,International Conference on Distributed Computing Systems.IEEE,2017:1510-1520. [8]CHEN S,LI M,REN K,et al.Crowd Map:Accurate Recon-struction of Indoor Floor Plans from Crowdsourced Sensor-Rich Videos∥2015 IEEE 35th International Conference on Distributed Computing Systems.IEEE,2015:1-10. [9]GAO R,ZHAO M,YE T,et al.Jigsaw:indoor floor plan reconstruction via mobile crowdsensing[C]∥International Confe-rence on Mobile Computing and NETWORKING.ACM,2014:249-260. [10]SANKAR A,SEITZ S.Capturing indoor scenes with smartphones[C]∥ACM Symposium on User Interface Software and Technology.ACM,2012:403-412. [11]PENG Z,GAO S,XIAO B,et al.CrowdGIS:Updating Digital Maps via Mobile Crowdsensing[J].IEEE Transactions on Automation Science & Engineering,2017,PP(99):1-12. [12]TUITE K,SNAVELY N,HSIAO D Y,et al.PhotoCity:train-ing experts at large-scale image acquisition through a competitive game∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.ACM,2011:1383-1392. [13]RAYCHOUDHURY V,SHRIVASTAV S,SANDHA S S,et al. CROWD-PAN-360:Crowdsourcing Based Context-Aware Panoramic Map Generation for Smartphone Users[J].IEEE Transactions on Parallel & Distributed Systems,2015,26(8):2208-2219. [14]KIM S H,LU Y,SHI J,et al.Key Frame Selection Algorithms for Automatic Generation of Panoramic Images from Crow-dsourced Geo-tagged Videos[C]∥International Symposium on Web and Wireless Geographical Information Systems.Springer,Berlin,Heidelberg,2014:67-84. [15]BAO X,CHOUDHURY R R.MoVi:mobile phone based video highlights via collaborative sensing[C]∥International Confe-rence on Mobile Systems,Applications,and Services.ACM,2010:357-370. [16]GIRIDHAR P,WANG S,ABDELZAHER T,et al.On localizing urban events with instagram[C]∥INFOCOM 2017-IEEE Conference on Computer Communications.IEEE,2017:1-9. [17]BANO S,CAVALLARO A.Discovery and organization of multi-camera user-generated videos of the same event[J].Information Sciences,2015,302:108-121. [18]CARLIER A,CALVET L,GURDJOS P,et al.Querying Multiple Simultaneous Video Streams with 3D Interest Maps[M]∥Visual Content Indexing and Retrieval with Psycho-Visual Mo-dels.Springer,Cham,2017:125-144. [19]RODRIGUES J,MARQUES E R B,SILVA J,et al.Video Dissemination in Untethered Edge-Clouds:A Case Study[C]∥IFIP International Conference on Distributed Applications and Interoperable Systems.Springer,Cham,2018:137-152. [20]BOHEZ S,DANEELS G,VAN HERZEELE L,et al.The crowd as a cameraman:on-stage display of crowdsourced mobile video at large-scale events[J].Multimedia Tools and Applications,2018,77(1):597-629. [21]XU H,YANG Z,ZHOU Z,et al.Enhancing wifi-based localization with visual clues[C]∥Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing.ACM,2015:963-974. [22]CHON Y,LANE N D,LI F,et al.Automatically characterizing places with opportunistic crowdsensing using smartphones[C]∥Proceedings of the 2012 ACM Conference on Ubiquitous Computing.ACM,2012:481-490. [23]DONG J,XIAO Y,NOREIKIS M,et al.iMoon:Using Smart-phones for Image-based Indoor Navigation[C]∥ACM Con-ference on Embedded Networked Sensor Systems.ACM,2015:85-97. [24]https://mspg.azurewebsites.net. [25]ROY Q,PERRAULT S T,DAVIS R C,et al.Follow-My-Lead:Intuitive Indoor Path Creation and Navigation Using Interactive Videos[C]∥CHI Conference on Human Factors in Computing Systems.ACM,2017:5703-5715. [26]YIN Z,WU C,YANG Z,et al.Peer-to-peer indoor navigation using smartphones[J].IEEE Journal on Selected Areas in Communications,2017,35(5):1141-1153. [27]SHU Y,SHIN K G,HE T,et al.Last-mile navigation using sma-rtphones[C]∥Proceedings of the 21st Annual International Conference on Mobile Computing and Networking.ACM,2015:512-524. [28]RICHERZHAGEN B,WULFHEIDE J,KOEPPL H,et al.Enabling crowdsourced live event coverage with adaptive collaborative upload strategies[C]∥World of Wireless,Mobile and Multimedia Networks.IEEE,2016:1-3. [29]WU Y,CAO G.VideoMec:a metadata-enhanced crowdsourcing system for mobile videos[C]∥ACM/IEEE International Conference on Information Processing in Sensor Networks.IEEE,2017:143-154. [30]DAO T,ROYCHOWDHURY A K,MADHYASTHA H V,et al. Managing Redundant Content in Bandwidth Constrained Wireless Networks[J].IEEE/ACM Transactions on Networking,2017,PP(99):1-16. [31]WU Y,WANG Y,HU W,et al.Resource-Aware Photo Crow-dsourcing Through Disruption Tolerant Networks[C]∥IEEE,International Conference on Distributed Computing Systems.IEEE,2016:374-383. [32]WU Y,WANG Y,HU W,et al.Smartphoto:a resource-aware crowdsourcing approach for image sensing with smartphones[J].IEEE Transactions on Mobile Computing,2016,15(5):1249-1263. [33]WEINSBERG U,LI Q,TAFT N,et al.CARE:content aware redundancy elimination for challenged networks[C]∥Procee-dings of the 11th ACM Workshop on Hot Topics in Networks.ACM,2012:127-132. [34]MERGEL I.Distributed Democracy:SeeClickFix.Com for Crowdsourced Issue Reporting[J].Ssrn Electronic Journal,2012. [35]LU Y,COLMENARES J A.Efficient Detection of Points of Interest from Georeferenced Visual Content∥Proceedings of the 6th ACM SIGSPATIAL Workshop on Analytics for Big Geospatial Data.ACM,2017:27-36. [36]LI Y,XUE F,FAN X,et al.Pedestrian walking safety system based on smartphone built-in sensors[J].IET Communications,2018,12(6):751-758. [37]KIM S,ROBSON C,ZIMMERMAN T,et al.Creek watch:pairing usefulness and usability for successful citizen science∥Proceedings of the SIGCHI Conference on Human Factors in Computing Systems.ACM,2011:2125-2134. |
[1] | SHAO Zi-hao, YANG Shi-yu, MA Guo-jie. Foundation of Indoor Information Services:A Survey of Low-cost Localization Techniques [J]. Computer Science, 2022, 49(9): 228-235. |
[2] | CAI Wei, BAI Guang-wei, SHEN Hang, CHENG Zhao-wei, ZHANG Hui-li. Reinforcement Learning Based Win-Win Game for Mobile Crowdsensing [J]. Computer Science, 2020, 47(10): 41-47. |
[3] | XIA Jun, LIU Jun-fa, JIANG Xin-long, CHEN Yi-qiang. Incremental Indoor Localization for Device Diversity Issues [J]. Computer Science, 2018, 45(10): 69-77. |
[4] | HUAN Ruo-hong and CHEN Yue. Indoor Localization Based on Map Information and Particle Filter with Position Adaptive Correction [J]. Computer Science, 2017, 44(Z11): 297-301. |
[5] | ZHOU A-peng, QIN Xi-zhong, JIA Zhen-hong and NIKOLA Kasabov. Crowdsourcing-based Indoor Localization via Embedded Manifold Matching [J]. Computer Science, 2017, 44(8): 64-70. |
[6] | SHA Chao-heng, XIAO Fu, CHEN Lei, SUN Li-juan and WANG Ru-chuan. Fingerprint-based Indoor Localization via Matrix Completion [J]. Computer Science, 2016, 43(6): 91-96. |
[7] | XI Rui, LI Yu-jun and HOU Meng-shu. Survey on Indoor Localization [J]. Computer Science, 2016, 43(4): 1-6. |
[8] | WU Bin and LI Jun-e. Application of Wireless Sensor Network in Indoor Localization [J]. Computer Science, 2013, 40(5): 115-117. |
[9] | YANG Li-li, YANG Yong-chuan (Chinese People's Public Security University,Beijing 100038,China). [J]. Computer Science, 2008, 35(6): 227-229. |
|