Real-time adaptive image compression

34th International Conference on Machine Learning, ICML 2017

Volumn 6, Issue , 2017, Pages 4457-4473

  Rippel, Oren ^a   Bourdev, Lubomir ^a  

^a WaveOne Inc   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING ALGORITHMS; LEARNING SYSTEMS;

ADAPTIVE CODING; ADAPTIVE IMAGE COMPRESSIONS; AUTO ENCODERS; GENERIC IMAGES; JPEG 2000; LOSSY IMAGE COMPRESSION; QUALITY LEVELS; RUNNING-IN;

IMAGE COMPRESSION;

EID: 85048571795     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (25)

1. White paper: Cisco vni forecast and methodology, 2015- 2020. 2015.
2. Antonini, Marc, Barlaud, Michel, Mathieu, Pierre, and Daubechies, Ingrid. Image coding using wavelet transform. IEEE Trans. Image Processing, 1992.
3. Balld, Johannes, Laparra, Valero, and Simoncelli, Ecro P. End-to-end optimized image compression, preprint, 2016.
4. Bottou, Ldon, Haffner, Patrick, Howard, Paul G, Simard, Patrice, Bengio, Yoshua, and Le Cun, Yann. High quality document image compression with djvu. 1998.
5. Dang-Nguycn, Due-Tien, Pasquini, Cecilia, Conotter, Valentina, and Boato, Giulia. Raise: A raw images dataset for digital image forensics. In Proceedings of the 6th ACM Multimedia Systems Conference, pp. 219-224. ACM, 2015.
6. Denton, Emily L, Chintala, Soumith, Fergus, Rob, et al. Deep generative image models using a laplacian pyramid of adversarial networks. In NIPS, pp. 1486-1494, 2015.
7. Goodfellow, Ian, Pouget-Abadie, Jean, Mirza, Mehdi, Xu, Bing, Warde-Farley, David, Ozair, Sherjil, Courville, Aaron, and Bengio, Yoshua. Generative adversarial nets. In NIPS, pp. 2672-2680, 2014.
8. Isola, Phillip, Zhu, Jun-Yan, Zhou, Tinghui, and Efros, Alexei A. Image-to-image translation with conditional adversarial networks. arXiv preprint arXiv:1611.07004, 2016.
9. Johnston, Nick, Vincent, Damien, Minnen, David, Cov- ell, Michele, Singh, Saurabh, Chinen, Troy, Hwang, Sung Jin, Shor, Joel, and Toderici, George. Improved lossy image compression with priming and spatially adaptive bit rates for recurrent networks. arXiv preprint arXiv:1703.10114, 2017.
10. Judge, Mike, Altschuler, John, and Krinsky, Dave. Silicon valley (tv series). 2016.
11. Kingma, Diederik and Ba, Jimmy. Adam: A method for stochastic optimization. arXiv preprint arXiv:1412.6980 2014.
12. Ledig, Christian, Theis, Lucas, Huszlr, Ferenc, Caballero, Jose, Cunningham, Andrew, Acosta, Alejandro, Aitken, Andrew, Tejani, Alykhan, Totz, Johannes, Wang, Ze-Han, et al. Photo-realistic single image super-resolution using a generative adversarial network. arXiv preprint arXiv:1609.04802, 2016.
13. Mallat, S. G. A theory for multiresolution signal decomposition: The wavelet representation. IEEE Trans. Pattern Anal. Mach. Intell., 11 (7):674-693, July 1989.
14. Mathieu, Michael, Couprie, Camille, and LeCun, Yann. Deep multi-scale video prediction beyond mean square error. arXiv preprint arXiv:1511.05440, 2015.
15. Rabbani, Majid and Joshi, Rajan. An overview of the jpeg 2000 still image compression standard. Signal processing: Image communication, 17(1):3-48, 2002.
16. Radford, Alec, Metz, Luke, and Chintala, Soumith. Unsupervised representation learning with deep convolu- tional generative adversarial networks. arXiv preprint arXiv:1511.06434, 2015.
17. Rippel, Oren, Snoek, Jasper, and Adams, Ryan P. Spectral representations for convolutional neural networks. In Advances in Neural Information Processing Systems, pp. 2449-2457, 2015.
18. Salimans, Tim, Goodfellow, Ian, Zaremba, Wojciech, Cheung, Vicki, Radford, Alec, and Chen, Xi. Improved techniques for training gans. In NIPS, pp. 2226-2234, 2016.
19. Theis, Lucas, Shi, Wenzhe, Cunningham, Andrew, and Huszar, Ferenc. Lossy image compression with compressive autoencoders. preprint, 2016.
20. Thomee, Bart, Shamma, David A, Friedland, Gerald, Elizalde, Benjamin, Ni, Karl, Poland, Douglas, Borth, Damian, and Li, Li-Jia. YfcclOOm: The new data in multimedia research. Communications of the ACM, 2016.
21. Toderici, George, O'Malley, Sean M, Hwang, Sung Jin, Vincent, Damien, Minnen, David, Baluja, Shumeet, Covell, Michele, and Sukthankar, Rahul. Variable rate image compression with recurrent neural networks. arXiv preprint arXiv:1511.06085, 2015.
22. Toderici, George, Vincent, Damien, Johnston, Nick, Hwang, Sung Jin, Minnen, David, Shor, Joel, and Covell, Michele. Full resolution image compression with recurrent neural networks. arXiv preprint arXiv:1608.05148, 2016.
23. Wallace, Gregory K. The jpeg still picture compression standard. IEEE transactions on consumer electronics, 38(1):18-19, 1992.
24. Wang, Zhou, Simoncelli, Eero P, and Bovik, Alan C. Mul- tiscale structural similarity for image quality assessment. In Signals, Systems and Computers, 2004., volume 2, pp. 1398-1402. Ieee, 2003.
25. Wang, Zhou, Bovik, Alan C, Sheikh, Hamid R, and Simoncelli, Eero P. Image quality assessment: from error visibility to structural similarity. IEEE transactions on image processing, 13(4):600-612, 2004.