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Volumn , Issue , 2018, Pages 4394-4402

Conditional Probability Models for Deep Image Compression

Author keywords

[No Author keywords available]

Indexed keywords

3D MODELING; COMPUTER VISION; DEEP NEURAL NETWORKS; ECONOMIC AND SOCIAL EFFECTS; ELECTRIC DISTORTION; ENTROPY; IMAGE CODING; PROBABILITY DISTRIBUTIONS; SIGNAL DISTORTION; SIGNAL ENCODING;

EID: 85055446033     PISSN: 10636919     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CVPR.2018.00462     Document Type: Conference Paper
Times cited : (605)

References (25)
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    • S. Ioffe and C. Szegedy. Batch normalization: Accelerating deep network training by reducing internal covariate shift. In International Conference on Machine Learning, pages 448-456, 2015. 6
    • (2015) International Conference on Machine Learning , pp. 448-456
    • Ioffe, S.1    Szegedy, C.2
  • 12
    • 0031288292 scopus 로고    scopus 로고
    • Tmw-a new method for lossless image compression
    • 2
    • B. Meyer and P. Tischer. Tmw-a new method for lossless image compression. ITG FACHBERICHT, pages 533-540, 1997. 2
    • (1997) ITG FACHBERICHT , pp. 533-540
    • Meyer, B.1    Tischer, P.2
  • 13
    • 0035001050 scopus 로고    scopus 로고
    • Glicbawls-grey level image compression by adaptive weighted least squares
    • 2
    • B. Meyer and P. E. Tischer. Glicbawls-grey level image compression by adaptive weighted least squares. In Data Compression Conference, volume 503, 2001. 2
    • (2001) Data Compression Conference , vol.503
    • Meyer, B.1    Tischer, P.E.2
  • 16
    • 85062842479 scopus 로고    scopus 로고
    • Online; accessed 15-Nov-2017. 3
    • C. Shalizi. Lecture notes on stochastic processes. http://www. stat. cmu. edu/cshalizi/754/2006/notes/lecture-28. pdf, 2006. [Online; accessed 15-Nov-2017]. 3
    • (2006) Lecture Notes on Stochastic Processes
    • Shalizi, C.1
  • 17
    • 85088225541 scopus 로고    scopus 로고
    • Lossy image compression with compressive autoencoders
    • 1, 2, 4, 5, 6
    • L. Theis, W. Shi, A. Cunningham, and F. Huszar. Lossy image compression with compressive autoencoders. In ICLR 2017, 2017. 1, 2, 4, 5, 6
    • (2017) ICLR 2017
    • Theis, L.1    Shi, W.2    Cunningham, A.3    Huszar, F.4
  • 24
    • 0030127897 scopus 로고    scopus 로고
    • Applications of universal context modeling to lossless compression of gray-scale images
    • 2
    • M. J. Weinberger, J. J. Rissanen, and R. B. Arps. Applications of universal context modeling to lossless compression of gray-scale images. IEEE Transactions on Image Processing, 5 (4): 575-586, 1996. 2
    • (1996) IEEE Transactions on Image Processing , vol.5 , Issue.4 , pp. 575-586
    • Weinberger, M.J.1    Rissanen, J.J.2    Arps, R.B.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.