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Volumn , Issue , 2005, Pages 491-494

Automatic image orientation determination with natural image statistics

Author keywords

Image Classification; Natural Image Statistics; Orientation Determination

Indexed keywords

BINARY SVM; IMAGE DECOMPOSITION; IMAGE ORIENTATION; NATURAL IMAGE STATISTICS; NATURAL IMAGES;

EID: 34547174921     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1101149.1101259     Document Type: Conference Paper
Times cited : (20)

References (13)
  • 1
    • 0033338289 scopus 로고    scopus 로고
    • Image compression via joint statistical characterization in the wavelet domain
    • R.W. Buccigrossi and E.P. Simoncelli. Image compression via joint statistical characterization in the wavelet domain. IEEE Transactions on Image Processing, 8(12):1688-1701, 1999.
    • (1999) IEEE Transactions on Image Processing , vol.8 , Issue.12 , pp. 1688-1701
    • Buccigrossi, R.W.1    Simoncelli, E.P.2
  • 3
    • 84883102774 scopus 로고    scopus 로고
    • A probabilistic approach to image orientation detection via confidence-based integration of low-level and semantic cues
    • J. Luo and M. Boutell. A probabilistic approach to image orientation detection via confidence-based integration of low-level and semantic cues. In International Workshop on Multimedia Data and Document Engineering, 2004.
    • (2004) International Workshop on Multimedia Data and Document Engineering
    • Luo, J.1    Boutell, M.2
  • 5
    • 0041308536 scopus 로고    scopus 로고
    • Detecting hidden messages using higher-order statistics and support vector machines
    • Noordwijkerhout, The Netherlands
    • S. Lyu and H. Farid. Detecting hidden messages using higher-order statistics and support vector machines. In 5th International Workshop on Information Hiding, Noordwijkerhout, The Netherlands, 2002.
    • (2002) 5th International Workshop on Information Hiding
    • Lyu, S.1    Farid, H.2
  • 7
    • 0003243224 scopus 로고    scopus 로고
    • Probabilistic outputs for support vector machines and comparison to regularized likelihood methods
    • J. Platt. Probabilistic outputs for support vector machines and comparison to regularized likelihood methods. In Advances in Neural Information Processing Systems (NIPS), 1999.
    • (1999) Advances in Neural Information Processing Systems (NIPS)
    • Platt, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.