Demo abstract - MediaScope: Selective on-demand media retrieval from mobile devices

IPSN 2013 - Proceedings of the 12th International Conference on Information Processing in Sensor Networks, Part of CPSWeek 2013

Volumn , Issue , 2013, Pages 313-314

  Xu, Xing ^a   Jiang, Yurong ^a   Terlecky, Peter ^b   Abdelzaher, Tarek ^c   Bar Noy, Amotz ^b   Govindan, Ramesh ^a  

^a UNIVERSITY OF SOUTHERN CALIFORNIA   (United States)

^b CITY UNIVERSITY OF NEW YORK   (United States)

^c UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

Crowd sensing; Feature extraction; Image retrieval; Mobile device

Indexed keywords

CROWD-SENSING; EXTENSIBLE FRAMEWORK; GEOMETRIC QUERIES; NEAREST-NEIGHBORS; ON-DEMAND MEDIA; QUERY COMPLETENESS; RELEVANT INFORMATIONS; RETRIEVAL ALGORITHMS;

DATA PROCESSING; IMAGE MATCHING; SENSOR NETWORKS;

MOBILE DEVICES;

EID: 84876746382     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2461381.2461424     Document Type: Conference Paper

References (11)

1. Facebook. http://www.facebook.com.
2. Flickr. http://www.flickr.com.
3. Instagram. http://www.instagram.com.
4. B. M. Elahi, K. Romer, B. Ostermaie, M. Fahrmair, and W. Kellerer. Sensor ranking: A primitive for efficient content-based sensor search. In Proc. of ACM Information Processing in Sensor Networks (IPSN), pages 217-228. ACM, 2009.
5. M. Gabbouj, I. Ahmad, M. Amin, and S. Kiranyaz. Content-based image retrieval for connected mobile devices. In Proc. of Second International Symposium on Communications, Control and Signal Processing (ISCCSP). Citeseer, 2006.
6. C. Jacobs, A. Finkelstein, and D. Salesin. Fast multiresolution image querying. In Proc. of the 22nd annual conference on Computer graphics and interactive techniques, pages 277-286. ACM, 1995.
7. J.S. Hare and P. Lewis. Content-based image retrieval using a mobile device as a novel interface. In Electronic Imaging 2005, pages 64-75. International Society for Optics and Photonics, 2005.
8. M. Ra, B. Liu, T. L. Porta, and R. Govindan. Medusa: A programming framework for crowd-sensing applications. In Proc. of the 10th international conference on Mobile systems, applications, and services(Mobisys'12), pages 337-350. ACM, 2012.
9. M. Uddin, H. Wang, F. Saremi, G. Qi, T. Abdelzaher, and T. Huang. Photonet: a similarity-aware picture delivery service for situation awareness. In IEEE 32nd Real-Time Systems Symposium (RTSS'11), pages 317-326. IEEE, 2011.
10. T. Yan, V. Kumar, and D. Ganesan. Crowdsearch: exploiting crowds for accurate real-time image search on mobile phones. In Proc. of the 8th international conference on Mobile systems, applications, and services(Mobisys'10), pages 77-90. ACM, 2010.
11. K. Yee, K. Swearingen, K. Li, and M. Hearst. Faceted metadata for image search and browsing. In Proc. of the SIGCHI conference on Human factors in computing systems, pages 401-408. ACM, 2003.