메뉴 건너뛰기




Volumn , Issue , 2008, Pages 155-168

Distributed image search in camera sensor networks

Author keywords

camera sensor networks; distributed search; visterms; vocabulary tree

Indexed keywords

CAMERA SENSOR; CAMERA SENSOR NETWORK; CENTRAL SERVERS; COMPUTATIONAL NODES; COMPUTATIONAL POWER; DATA SETS; DISTRIBUTED SEARCH; DISTRIBUTED SEARCH ENGINES; DISTRIBUTED SEARCH SYSTEMS; DISTRIBUTED SYSTEMS; FLASH STORAGE; IMAGE SEARCH; IMAGE SEARCH ENGINE; LOCAL SEARCH; LOW POWER; MEMORY CAPACITY; ORDERS OF MAGNITUDE; RESOURCE CONSTRAINT; RESOURCE LIMITATIONS; RESOURCE-RICH; VISTERMS; VOCABULARY TREE;

EID: 84866494177     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460412.1460428     Document Type: Conference Paper
Times cited : (50)

References (33)
  • 1
    • 84866488841 scopus 로고    scopus 로고
    • Enalab imote2 camera. http://enaweb.eng.yale.edu/drupal/. 2007.
    • (2007) Enalab Imote2 Camera
  • 2
    • 37249006401 scopus 로고    scopus 로고
    • Distributed vision-based accident management for assisted living
    • H. Aghajan, J. Augusto, C. Wu, P. McCullagh, and J. Walkden. Distributed vision-based accident management for assisted living. In ICOST, pages 196-205, 2007.
    • (2007) ICOST , pp. 196-205
    • Aghajan, H.1    Augusto, J.2    Wu, C.3    McCullagh, P.4    Walkden, J.5
  • 4
    • 27644461868 scopus 로고    scopus 로고
    • ELF: An efficient log-structured flash file system for micro sensor nodes
    • H. Dai, M. Neufeld, and R. Han. ELF: an efficient log-structured flash file system for micro sensor nodes. In ACM SenSys '04, pages 176-187, 2004.
    • (2004) ACM SenSys '04 , pp. 176-187
    • Dai, H.1    Neufeld, M.2    Han, R.3
  • 6
    • 5044225521 scopus 로고    scopus 로고
    • Multiple Bernoulli relevance models for image and video annotation
    • S. Feng, R. Manmatha, and V. Lavrenko. Multiple Bernoulli relevance models for image and video annotation. In IEEE CVPR, pages 1002-1009, 2004.
    • (2004) IEEE CVPR , pp. 1002-1009
    • Feng, S.1    Manmatha, R.2    Lavrenko, V.3
  • 7
    • 84982986172 scopus 로고    scopus 로고
    • Micro-blog: Sharing and querying content through mobile phones and social participation
    • S. Gaonkar, J. Li, R. R. Choudhury, L. Cox, and A. Schmidt. Micro-blog: Sharing and querying content through mobile phones and social participation. In ACM MobiSys, pages 174-186, 2008.
    • (2008) ACM MobiSys , pp. 174-186
    • Gaonkar, S.1    Li, J.2    Choudhury, R.R.3    Cox, L.4    Schmidt, A.5
  • 8
    • 47349120164 scopus 로고    scopus 로고
    • Architecture for cluster-based automated surveillance network for detecting and tracking multiple persons
    • R. Goshorn, J. Goshorn, D. Goshorn, and H. Aghajan. Architecture for cluster-based automated surveillance network for detecting and tracking multiple persons. In ICDSC, 2007.
    • (2007) ICDSC
    • Goshorn, R.1    Goshorn, J.2    Goshorn, D.3    Aghajan, H.4
  • 9
    • 35248855943 scopus 로고    scopus 로고
    • Beyond average: Towards sophisticated sensing with queries
    • J. Hellerstein, W. Hong, S. Madden, and K. Stanek. Beyond average: Towards sophisticated sensing with queries. In IPSN '03, pages 63-79, 2003.
    • (2003) IPSN '03 , pp. 63-79
    • Hellerstein, J.1    Hong, W.2    Madden, S.3    Stanek, K.4
  • 10
    • 35348822578 scopus 로고    scopus 로고
    • Mesheye: A hybrid-resolution smart camera mote for applications in distributed intelligent surveillance
    • S. Hengstler, D. Prashanth, S. Fong, and H. Aghajan. Mesheye: A hybrid-resolution smart camera mote for applications in distributed intelligent surveillance. In IPSN-SPOTS, pages 360-369, 2007.
    • (2007) IPSN-SPOTS , pp. 360-369
    • Hengstler, S.1    Prashanth, D.2    Fong, S.3    Aghajan, H.4
  • 11
    • 22744432612 scopus 로고    scopus 로고
    • The dynamic behavior of a data dissemination protocol for network programming at scale
    • J. W. Hui and D. Culler. The dynamic behavior of a data dissemination protocol for network programming at scale. In ACM SenSys, pages 81-94, 2004.
    • (2004) ACM SenSys , pp. 81-94
    • Hui, J.W.1    Culler, D.2
  • 12
    • 84866512204 scopus 로고    scopus 로고
    • http://www.intel.com/research/exploratory/motes.htm. Intel imote2.
    • Intel Imote2
  • 13
    • 35348863798 scopus 로고    scopus 로고
    • Building a sensor network of mobile phones
    • A. Kansal, M. Goraczko, and F. Zhao. Building a sensor network of mobile phones. In IPSN, pages 547-548, 2007.
    • (2007) IPSN , pp. 547-548
    • Kansal, A.1    Goraczko, M.2    Zhao, F.3
  • 14
    • 47349105238 scopus 로고    scopus 로고
    • Exploring tradeoffs in accuracy, energy and latency of scale invariant feature transform in wireless camera networks
    • T. Ko, Z. M. Charbiwala, S. Ahmadian, M. Rahimi, M. B. Srivastava, S. Soatto, and D. Estrin. Exploring tradeoffs in accuracy, energy and latency of scale invariant feature transform in wireless camera networks. In ICDSC, 2007.
    • (2007) ICDSC
    • Ko, T.1    Charbiwala, Z.M.2    Ahmadian, S.3    Rahimi, M.4    Srivastava, M.B.5    Soatto, S.6    Estrin, D.7
  • 16
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scale-invariant keypoints
    • 2004.
    • D. G. Lowe. Distinctive image features from scale-invariant keypoints. In in International Journal of Computer Vision, 60, 2004, pages 91-110, 2004.
    • (2004) In International Journal of Computer Vision , vol.60 , pp. 91-110
    • Lowe, D.G.1
  • 17
    • 34247403038 scopus 로고    scopus 로고
    • A sensory grammar for inferring behaviors in sensor networks
    • D. Lymberopoulos, A. S. Ogale, A. Savvides, and Y. Aloimonos. A sensory grammar for inferring behaviors in sensor networks. In IPSN, pages 251-259, 2006.
    • (2006) IPSN , pp. 251-259
    • Lymberopoulos, D.1    Ogale, A.S.2    Savvides, A.3    Aloimonos, Y.4
  • 19
    • 0038335769 scopus 로고    scopus 로고
    • TAG: A tiny aggregation service for ad-hoc sensor networks
    • Boston, MA
    • S. Madden, M. Franklin, J. Hellerstein, and W. Hong. TAG: a tiny aggregation service for ad-hoc sensor networks. In OSDI, Boston, MA, 2002.
    • (2002) OSDI
    • Madden, S.1    Franklin, M.2    Hellerstein, J.3    Hong, W.4
  • 20
    • 34547487841 scopus 로고    scopus 로고
    • Capsule: An energy-optimized object storage system for memory-constrained sensor devices
    • G. Mathur, P. Desnoyers, D. Ganesan, and P. Shenoy. Capsule: An energy-optimized object storage system for memory-constrained sensor devices. In SenSys, pages 195-208, 2006.
    • (2006) SenSys , pp. 195-208
    • Mathur, G.1    Desnoyers, P.2    Ganesan, D.3    Shenoy, P.4
  • 21
    • 34247364655 scopus 로고    scopus 로고
    • Ultra-low power data storage for sensor networks
    • G. Mathur, P. Desnoyers, D. Ganesan, and P. Shenoy. Ultra-low power data storage for sensor networks. In IPSN-SPOTS, pages 374-381, 2006.
    • (2006) IPSN-SPOTS , pp. 374-381
    • Mathur, G.1    Desnoyers, P.2    Ganesan, D.3    Shenoy, P.4
  • 22
    • 27644547620 scopus 로고    scopus 로고
    • A performance evaluation of local descriptors
    • October
    • K. Mikolajczyk and C. Schmid. A performance evaluation of local descriptors. IEEE PAMI, 27(10):1615-1630, October 2005.
    • (2005) IEEE PAMI , vol.27 , Issue.10 , pp. 1615-1630
    • Mikolajczyk, K.1    Schmid, C.2
  • 23
    • 35348838502 scopus 로고    scopus 로고
    • Flashdb: Dynamic self-tuning database for nand flash
    • S. Nath and A. Kansal. Flashdb: dynamic self-tuning database for nand flash. In IPSN, pages 410-419, 2007.
    • (2007) IPSN , pp. 410-419
    • Nath, S.1    Kansal, A.2
  • 24
    • 33845592987 scopus 로고    scopus 로고
    • Scalable recognition with a vocabulary tree
    • D. Nister and H. Stewenius. Scalable recognition with a vocabulary tree. In CVPR, pages 2161-2168, 2006.
    • (2006) CVPR , pp. 2161-2168
    • Nister, D.1    Stewenius, H.2
  • 25
    • 34948903793 scopus 로고    scopus 로고
    • Object retrieval with large vocabularies and fast spatial matching
    • J. Philbin, O. Chum, M. Isard, J. Sivic, and A. Zisserman. Object retrieval with large vocabularies and fast spatial matching. In CVPR, 2007.
    • (2007) CVPR
    • Philbin, J.1    Chum, O.2    Isard, M.3    Sivic, J.4    Zisserman, A.5
  • 26
    • 37849004929 scopus 로고    scopus 로고
    • Image browsing, processing, and clustering for participatory sensing: Lessons from a dietsense prototype
    • S. Reddy, A. Parker, J. Hyman, J. Burke, D. Estrin, and M. Hansen. Image browsing, processing, and clustering for participatory sensing: Lessons from a dietsense prototype. In EmNets, 2007.
    • (2007) EmNets
    • Reddy, S.1    Parker, A.2    Hyman, J.3    Burke, J.4    Estrin, D.5    Hansen, M.6
  • 28
    • 33749605102 scopus 로고    scopus 로고
    • A sampling-based approach to optimizing top-k queries in sensor networks
    • A. Silberstein, R. Braynard, C. Ellis, K. Munagala, and J. Yang. A sampling-based approach to optimizing top-k queries in sensor networks. In ICDE, page 68, 2006.
    • (2006) ICDE , pp. 68
    • Silberstein, A.1    Braynard, R.2    Ellis, C.3    Munagala, K.4    Yang, J.5
  • 29
    • 34250676986 scopus 로고    scopus 로고
    • Energy-efficient monitoring of extreme values in sensor networks
    • A. Silberstein, K. Munagala, and J. Yang. Energy-efficient monitoring of extreme values in sensor networks. In ACM SIGMOD, pages 157-168, 2006.
    • (2006) ACM SIGMOD , pp. 157-168
    • Silberstein, A.1    Munagala, K.2    Yang, J.3
  • 30
    • 0345414182 scopus 로고    scopus 로고
    • Video google: A text retrieval approach to object matching in videos
    • J. Sivic and A. Zisserman. Video google: A text retrieval approach to object matching in videos. In ICCV, pages 1470-1477, 2003.
    • (2003) ICCV , pp. 1470-1477
    • Sivic, J.1    Zisserman, A.2
  • 31
    • 44649185808 scopus 로고    scopus 로고
    • Microsearch: When search engines meet small devices
    • C. C. Tan, B. Sheng, H. Wang, and Q. Li. Microsearch: When search engines meet small devices. In Pervasive, pages 93-110, 2008.
    • (2008) Pervasive , pp. 93-110
    • Tan, C.C.1    Sheng, B.2    Wang, H.3    Li, Q.4
  • 32
    • 51349121155 scopus 로고    scopus 로고
    • Snoogle: A search engine for physical world
    • H. Wang, C. C. Tan, and Q. Li. Snoogle: A search engine for physical world. In IEEE Infocom, 2008.
    • (2008) IEEE Infocom
    • Wang, H.1    Tan, C.C.2    Li, Q.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.