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Volumn , Issue , 2004, Pages 2-11

Distilling information with super-resolution for video surveillance

Author keywords

Generative model; Machine learning; Super resolution; Video surveillance

Indexed keywords

ARTIFICIAL INTELLIGENCE; DATA REDUCTION; ENCODING (SYMBOLS); IMAGE ANALYSIS; IMAGE ENHANCEMENT; LEARNING SYSTEMS; ROBUSTNESS (CONTROL SYSTEMS); VIDEO CAMERAS;

EID: 14944361617     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1026799.1026803     Document Type: Conference Paper
Times cited : (24)

References (15)
  • 2
    • 0003857778 scopus 로고    scopus 로고
    • A gentle tutorial on the EM algorithm and its application to parameter estimation for gaussian mixture and hidden markov models
    • ICSI
    • J. Bilmes. A gentle tutorial on the EM algorithm and its application to parameter estimation for Gaussian mixture and hidden Markov models. Technical Report ICSI-TR-97-021, ICSI, 1997.
    • (1997) Technical Report ICSI-TR-97-021
    • Bilmes, J.1
  • 4
    • 0000541753 scopus 로고    scopus 로고
    • Super-resolved surface reconstruction from multiple images
    • G. R. Heidbreder, editor, Kluwer Academic Publishers, Dordrecht, the Netherlands
    • P. Cheeseman, B. Kanefsky, R. Kraft, J. Stutz, and R. Hanson. Super-resolved surface reconstruction from multiple images. In G. R. Heidbreder, editor, Maximum Entropy and Bayesian Methods, pages 293-308. Kluwer Academic Publishers, Dordrecht, the Netherlands, 1996.
    • (1996) Maximum Entropy and Bayesian Methods , pp. 293-308
    • Cheeseman, P.1    Kanefsky, B.2    Kraft, R.3    Stutz, J.4    Hanson, R.5
  • 8
    • 0031377634 scopus 로고    scopus 로고
    • Joint MAP registration and high-resolution image estimation using a sequence of undersampled images
    • R. Hardie, K. Barnard, and E. Armstrong. Joint MAP registration and high-resolution image estimation using a sequence of undersampled images. IEEE Transactions on Image Processing, 6:1621-1633, 1997.
    • (1997) IEEE Transactions on Image Processing , vol.6 , pp. 1621-1633
    • Hardie, R.1    Barnard, K.2    Armstrong, E.3
  • 9
    • 14944360818 scopus 로고    scopus 로고
    • Kernel hebbian algorithm for single-frame super-resolution
    • A. Leonardis and H. Bischof, editors
    • K. Kim, M. Franz, and B. Scholkopf. Kernel Hebbian algorithm for single-frame super-resolution. In A. Leonardis and H. Bischof, editors, Statistical Learning in Computer Vision (SLCV 2004), pages 135-149, 2004.
    • (2004) Statistical Learning in Computer Vision (SLCV 2004) , pp. 135-149
    • Kim, K.1    Franz, M.2    Scholkopf, B.3
  • 10
    • 84948735385 scopus 로고    scopus 로고
    • Single-frame super-resolution by a cortex based mechanism using high level visual features in natural images
    • O. Kursun and O. Favorov. Single-frame super-resolution by a cortex based mechanism using high level visual features in natural images. In WACV02, pages 112-117, 2002.
    • (2002) WACV02 , pp. 112-117
    • Kursun, O.1    Favorov, O.2
  • 12
    • 0028427322 scopus 로고
    • A bayesian approach to image expansion for improved definition
    • R. Schultz and R. Stevenson. A Bayesian approach to image expansion for improved definition. IEEE Transactions on Image Processing, 3(3):233-242, 1994.
    • (1994) IEEE Transactions on Image Processing , vol.3 , Issue.3 , pp. 233-242
    • Schultz, R.1    Stevenson, R.2
  • 15
    • 0001224048 scopus 로고    scopus 로고
    • Sparse bayesian learning and the relevance vector machine
    • M. E. Tipping. Sparse Bayesian learning and the relevance vector machine. Journal of Machine Learning Research, 1:211-244, 2001.
    • (2001) Journal of Machine Learning Research , vol.1 , pp. 211-244
    • Tipping, M.E.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.