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Volumn , Issue , 2010, Pages 25-30

Video based mobile location search with large set of SIFT points in cloud

Author keywords

Large video repository; Mobile location search; Spatiotemporal pruning

Indexed keywords

HONG-KONG; IN-BUILDINGS; LOCATION BASED INFORMATION SERVICES; MOBILE LOCATION; OBJECT MATCHING; OVERALL EFFECTIVENESS; SEARCH SERVICES; SIMULATION RESULT; SMALL-SCALE TRIAL; SPATIOTEMPORAL PRUNING; SURROUNDING BUILDINGS; TECHNICAL CHALLENGES; VIDEO CLIPS; VIDEO REPOSITORY; VIDEO SEQUENCES; YOUTUBE;

EID: 78650443210     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1877953.1877962     Document Type: Conference Paper
Times cited : (24)

References (14)
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    • Zeimpekis, V.1    Giaglis, G.M.2    Lekakos, G.3
  • 4
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    • Zhou, X.1    Zhuang, X.2
  • 7
    • 37849037402 scopus 로고    scopus 로고
    • A 3-dimensional SIFT descriptor and its application to action recognition
    • P. Scovanner, S. Ali, and M. Shah. A 3-dimensional SIFT descriptor and its application to action recognition. In MULTIMEDIA, 2007.
    • (2007) Multimedia
    • Scovanner, P.1    Ali, S.2    Shah., M.3
  • 8
    • 3042535216 scopus 로고    scopus 로고
    • Distinctive image features from scaleinvariant keypoints
    • D. G. Lowe. 2004. Distinctive image features from scaleinvariant keypoints. IJCV, 60(2).
    • (2004) IJCV , vol.60 , Issue.2
    • Lowe, D.G.1
  • 10
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    • Efficient indexing for large scale visual search
    • X. Zhang, Z. Li, L. Zhang, W. Ma and HY. 2009. Shum. Efficient Indexing for Large Scale Visual Search. In ICCV.
    • (2009) ICCV
    • Zhang, X.1    Li, Z.2    Zhang, L.3    Ma, W.4    Shum, H.Y.5
  • 12
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    • Feature selection using principal feature analysis
    • Cohen I., Tian Q., Zhou X. S., and Huang T. S.2002. Feature selection using principal feature analysis, ICIP'02.
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  • 13
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    • Face recognition using principal component analysis
    • University of Maryland, College Park, MD, USA, DOI
    • K. Kim. Face recognition using principal component analysis. Technical report, Department of Computer Science, University of Maryland, College Park, MD, USA, DOI=http://www.umiacs.umd.edu/~knkim/KG/-VISA/PCA/FaceRecog/-PCA/-Kim. pdf.
    • Technical Report, Department of Computer Science
    • Kim, K.1
  • 14
    • 27944506780 scopus 로고    scopus 로고
    • (April), New York University Systems Neurobiology Laboratory DOI=
    • Jonathon Shlens, A Tutorial on Principal Component Analysis, (April. 2009). New York University Systems Neurobiology Laboratory DOI=http://www.snl. salk.edu/~shlens/pca.pdf.
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    • Shlens, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.