Zero-latency linear video coding

In this page we report the bibliography that is relevant to the submitted project ZL-LVC. Documents produced by the project’s partners are highlighted by bold caption, such as [Cagnazzo2015].

Linear Video Coding

[Cagnazzo2015] M. Cagnazzo, M. Kieffer. “Shannon-Kotelnikov Mappings for Softcast-based Joint Source-Channel Video Coding”. In IEEE International Conference on Image Processing, vol. 1, pp. 1-4, September 2015. Québec City, Canada.
[Cui2013] H. Cui, Z. Song, Z. Yang, C. Luo, R. Xiong, and F. Wu, “Cactus: a hybrid digital-analog wireless video communication system,” in 16th ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM), Barcelona, Spain, November 3-8, 2013, 2013, pp. 273–278.
[Cui2014] H. Cui, C. Luo, C. W. Chen, and F. Wu, “Robust uncoded video transmission over wireless fast fading channel,” in IEEE Conference on Computer Communications (INFOCOM), Toronto, Canada, April 27 – May 2, 2014, pp. 73–81.
[Cui2015] H. Cui, R. Xiong, C. Luo, Z. Song, and F. Wu, “Denoising and resource allocation in uncoded video transmission,” IEEE Journal of Selected Topics in Signal Processing, vol. 9, no. 1, pp. 102–112, 2015.
[Fan2011] Fan, X., Wu, F., & Zhao, D. (2011, December). D-cast: DSC based soft mobile video broadcast. In Proceedings of the 10th International Conference on Mobile and Ubiquitous Multimedia (pp. 226-235). ACM.
[Fan2012] Xiaopeng Fan, Ruiqin Xiong, Feng Wu, and Debin Zhao. Wavecast: Wavelet based wireless video broadcast using lossy transmission. In Visual Communications and Image Processing (VCIP), 2012 IEEE, pages 1-6. IEEE, 2012.
[Fan2012a] X. Fan, F. Wu, D. Zhao, C. O. Au, and W. Gao, “Disributed soft video broadcast (DCast) with explicit motion,” in Proceedings of Data Compression Conference, 2012, pp. 199–208.
[Fan2012b] X. Fan, R. Xiong, F. Wu, and D. Zhao, “Wavecast: Wavelet based wireless video broadcast using lossy transmission,” in IEEE Visual Communications and Image Processing (VCIP), 2012, pp. 1–6.
[Fan2013] Xiaopeng Fan, Feng Wu, Debin Zhao, and Oscar C Au. Distributed wireless visual communication with power distortion optimization. IEEE Transactions on Circuits and Systems for Video Technology, 23(6):1040-1053, 2013
[Fan2015] X. Fan, R. Xiong, D. Zhao and F. Wu, “Layered Soft Video Broadcast for Heterogeneous Receivers,” in IEEE Transactions on Circuits and Systems for Video Technology, vol. 25, no. 11, pp. 1801-1814, Nov. 2015.
[Fujihashi2018] T. Fujihashi, T. Koike-Akino, T. Watanabe, and P. V. Orlik, “High-Quality Soft Video Delivery With GMRF-Based Overhead Reduction,” IEEE Transactions on Multimedia, vol. 20, no. 2, pp. 473–483, Feb. 2018.
[He2015] D. He, C. Luo, C. Lan, F.Wu, and W. Zeng, “Structure-preserving hybrid digital-analog video delivery in wireless networks,” IEEE Transactions on Multimedia, vol. 17, no. 9, pp. 1658–1670, Sept 2015.
[Jakubczak 2010] S. Jakubczak and D. Katabi, “Softcast: one-size-fits-all wireless video,” in Proceedings of the ACM SIGCOMM 2010 conference, ser. SIGCOMM ’10.New York, NY, USA: ACM, pp. 449-450, 2010.
[Jakubczak2011] S. Jakubczak and D. Katabi, “A cross-layer design for scalable mobile video,” in Proc. international conference on Mobile computing and networking (MobiCom ’11), New York, NY, USA, 2011, pp. 289–300.
[Kong2015] X. Kong and H. Lu, “Joint power allocation for hybrid digital-analog transmission in relay networks,” Global Communications Conference (GLOBECOM), Dec 2015.
[Li2016] Y. Li, Y. Liu, Y. Wang, and Z. Li, “Visual information exploited hybrid digital-analog scheme for wireless video multicast,” in Visual Communications and Image Processing (VCIP), 2016, 2016, pp. 1–4.
[Liang2017a] F. Liang, C. Luo, R. Xiong, W. Zeng, and F. Wu, “Superimposed Modulation for Soft Video Delivery with Hidden Resources,” IEEE Transactions on Circuits and Systems for Video Technology, vol. PP, no. 99, pp. 1–1, doi: 10.1109/TCSVT.2017.2703605.
[Liang2018] Liang, F., Luo, C., Xiong, R., Zeng, W., & Wu, F. Hybrid Digital-Analog Video Delivery with Shannon-Kotel’nikov Mappings. IEEE Transactions on Multimedia (2018)
[Liu2012] X. Liu, W. Hu, Q. Pu, F. Wu, and Y. Zhang, “ParCast: soft video delivery in mimo-ofdm wlans,” in Proceedings of Internation Conference on Mobile Computing and Networking, 2012, pp. 233–244.
[Liu2014] X. Liu, W. Hu, C. Luo, Q. Pu, F. Wu, and Y. Zhang, “ParCast+:Parallel video unicast in MIMO-OFDM wlans,” IEEE Transactions on Multimedia, vol. 16, no. 7, pp. 2038–2051, 2014.
[Song2014a] Z. Song, R. Xiong, X. Fan, S. Ma, and W. Gao, “Transform domain energy modeling of natural images for wireless SoftCast optimization,” in IEEE International Symposium on Circuits and Systems (ISCAS), Melbourne, Australia, June 2014, pp. 1114–1117.
[Song2014b] Z. Song, R. Xiong, S. Ma, X. Fan, and W. Gao, “Layered image/video SoftCast with hybrid digital analog transmission for robust wireless visual communication,” in IEEE International Conference on Multimedia and Expo (ICME), Chengdu, China, Jul. 2014.
[Trioux2018] A. Trioux, F.-X. Coudoux, P. Corlay, M. Gharbi , “A Comparative Preprocessing Study for SoftCast Video Transmission,” in IEEE 9th International Symposium on Signal, Image, Video and Communications (ISIVC) 2018.
[Trioux2019]Anthony Trioux, François-Xavier Coudoux, Patrick Corlay, Mohamed Gharbi: A Reduced Complexity/Side Information Preprocessing Method for High Quality Softcast-Based Video Delivery. EUVIP 2019: 205-210
[Trioux2020] Anthony Trioux, François-Xavier Coudoux, Patrick Corlay, Mohamed Gharbi: Temporal information based GoP adaptation for linear video delivery schemes. Signal Process. Image Commun. 82: 115734 (2020)
[Wu2014] F. Wu, X. Peng, and J. Xu, “LineCast: Line-based distributed coding and transmission for broadcasting satellite images,” IEEE Transactions on Image Processing, vol. 23, no. 3, pp. 1015–1027, 2014.
[Xiong2013a] R. Xiong, F. Wu, J. Xu, an d W. Gao, “Performance analysis of transform in uncoded wireless visual communication,” in IEEE International Symposium on Circuits and Systems (ISCAS), Beijing, China, May 2013, pp. 1159–1162.
[Xiong2013b] R. Xiong, F. Wu, X. Fan, C. Luo, S. Ma, and W. Gao, “Power-distortion optimization for wireless image/video SoftCast by transform coefficients energy modeling with adaptive chunk division,” in IEEE Visual Communications and Image Processing (VCIP), 2013, pp. 1–6.
[Xiong2014] R. Xiong, J. Zhang, F. Wu, and W. Gao, “High quality image reconstruction via non-local collaborative estimation for wireless image/video SoftCast,” IEEE International Conference on Image Processing (ICIP), pp. 2542–2546, Oct 2014.
[Xiong2016] R. Xiong, F. Wu, J. Xu, X. Fan, C. Luo, and W. Gao, “Analysis of decorrelation transform gain for uncoded wireless image and video communication,” IEEE Transactions on Image Processing, vol. 25, no. 4, pp. 1820–1833, April 2016.
[Xiong2017] R. Xiong, J. Zhang, F. Wu, J. Xu, and W. Gao, “Power distortion optimization for uncoded linear transformed transmission of images and videos,” IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 222–236, 2017.
[Yu2014] L. Yu, H. Li, and W. Li, “Wireless scalable video coding using a hybrid digital-analog scheme,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 24, no. 2, pp. 331–345, Feb 2014.
[Yun2015] S. Yun, D. Kim, X. Lu, and L. Qiu, “Optimized layered integrated video encoding,” IEEE Conference on Computer Communications (INFOCOM), pp. 19–27, April 2015
[Zhao2017] J. Zhao, R. Xiong, C. Luo, F. Wu, and W. Gao, “Wireless image and video soft transmission via perception-inspired power distortion optimization,” in 2017 IEEE Visual Communications and Image Processing (VCIP), 2017, pp. 1–4.
[Zheng2016] S. Zheng, M. Antonini, M. Cagnazzo, L. Guerrieri, M. Kieffer, I. Nemoianu, R. Samy, B. Zhang. “Softcast with per-carrier Power-Constrained Channel”. In IEEE International Conference on Image Processing, vol. 1, pp. 1-4, September 2016. Phoenix, AZ, USA.
[Zheng2018] S. Zheng, M. Cagnazzo, M. Kieffer. “Precoding matrix design in linear video coding”. IEEE International Conference on Acoustics, Speech and Signal Processing, April 2018.
[Zheng2019a] S. Zheng, M. Cagnazzo, M. Kieffer. “Channel Impulsive Noise Mitigation for Linear Video Coding Schemes”. In IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 1, pp. 2347-2351, May 2019. Brighton, UK.
[Zheng2019b] S. Zheng, M. Cagnazzo, M. Kieffer. “Optimal and Suboptimal Channel Precoding and Decoding Matrices for Linear Video Coding”. In Elsevier Signal Processing: Image Communication, vol. 1, no. 6, pp. 1-12, June 2019.
[Zheng2019c] S. Zheng, M. Cagnazzo, M. Kieffer. “Channel Impulsive Noise Mitigation for Linear Video Coding Schemes”. In IEEE Transactions on Circuits and Systems for Video Technology,  Sept 2019

Temporal extrapolation

[Dosovitskiy2015] Dosovitskiy, A., Fischer, P., Ilg, E., Hausser, P., Hazirbas, C., Golkov, V., Van Der Smagt, P., Cremers, D. and Brox, T., 2015. Flownet: Learning optical flow with convolutional networks. In Proceedings of the IEEE international conference on computer vision (pp. 2758-2766).
[Gong2017] Gong, Z., & Yang, Z. (2017). Video frame interpolation and extrapolation. Stanfor University Technical Report.
[Hu2020] Hu, A., Cotter, F., Mohan, N., Gurau, C. and Kendall, A., 2020. Probabilistic future prediction for video scene understanding. arXiv preprint arXiv:2003.06409.
[Jayaraman2019] Jayaraman, D., Ebert, F., Efros, A.A. and Levine, S., 2018. Time-agnostic prediction: Predicting predictable video frames. ICLR 2019. arXiv preprint arXiv:1808.07784.
[Kameda2016] Kameda, Y., Kishi, H., Ishikawa, T., Matsuda, I., & Itoh, S. (2016, December). Multi-frame motion compensation using extrapolated frame by optical flow for lossless Video Coding. In 2016 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT) (pp. 300-304). IEEE.
[Laude2019] Laude, T., Haub, F. and Ostermann, J., 2019, November. HEVC Inter Coding using Deep Recurrent Neural Networks and Artificial Reference Pictures. In 2019 Picture Coding Symposium (PCS) (pp. 1-5). IEEE.
[Lin 2018] J. Lin, D. Liu, H. Li and F. Wu, “Generative Adversarial Network-Based Frame Extrapolation for Video Coding,” 2018 IEEE Visual Communications and Image Processing (VCIP), Taichung, Taiwan, 2018, pp. 1-4, doi: 10.1109/VCIP.2018.8698615.
[Lotter2017] W. Lotter, G. Kreiman, and D. Cox, “Deep predictive coding networks for video prediction and unsupervised learning,” in Proc. Int. Conf. Learn. Represent. (ICLR), 2017.
[Mahajan2009] Mahajan, F.-C. Huang, W. Matusik, R. Ramamoorthi, and P. Belhumeur. Moving gradients: a path-based method for plausible image interpolation. ACM Transactions on Graphics (TOG), 28(3):42, 2009
[Mathieu2015] Mathieu, M., Couprie, C. and LeCun, Y., 2015. Deep multi-scale video prediction beyond mean square error. International Conference on Learning Representations (ICLR), 2016
[Meyer2015] Meyer, O. Wang, H. Zimmer, M. Grosse, and A. SorkineHornung. Phase-based frame interpolation for video. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pages 1410–1418, 2015
[Oh2015] J. Oh, X. Guo, H. Lee, R. Lewis, and S.P. Singh. Action-conditional video prediction using deep networks in atari games. NIPS, 2015.
[Ranzato2014] M. Ranzato, A. Szlam, J. Bruna, M. Mathieu, R. Collobert, and S. Chopra. Video (language) modeling: a baseline for generative models of natural videos. CoRR, abs/1412.6604, 2014.
[Ren2017] Z. Ren, J. Yan, B. Ni, B. Liu, X. Yang, and H. Zha, “Unsupervised deep learning for optical flow estimation,” in Proc. AAAI, vol. 3, 2017, p. 7.
[Srivastava 2015] N. Srivastava, E. Mansimov, and R. Salakhutdinov. Unsupervised learning of video representations using LSTMs. In ICML, 2015
[Wadhwa2013] Wadhwa, M. Rubinstein, F. Durand, and W. T. Freeman. Phase-based video motion processing. ACM Transactions on Graphics (TOG), 32(4):80, 2013

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