YI LIU
Lecturer, PhD
School of Electronic Engineering,
Xidian University, Xi’an 710071, China
Office: #202, Building 100, North Campus
yi_liu@xidian.edu.cn; liuuni@hotmail.com
Lecturer, PhD
School of Electronic Engineering,
Xidian University, Xi’an 710071, China
Office: #202, Building 100, North Campus
yi_liu@xidian.edu.cn; liuuni@hotmail.com
Yi Liu received the B.S. degree in Electronic Information Engineering from the School of Electronics and Information,
Northwestern Polytechnical University, Xi'an, China, in 2008 and the M.S. degree in Telecommunications and Information System,
from the School of Telecommunications Engineering, Xidian University, Xi'an, China, in 2011 and the Ph.D. degree from the National Institute for Applied Sciences of Rennes (INSA), France, in 2015.
He worked in Department of Electronics and Computer Engineering, National Institute for Applied Sciences of Rennes (INSA) in France from 2015 to 2017. In 2018,
he joined the School of Electronic Engineering at Xidian University, Xi’an, China. His research interests include image and video processing, image and video coding, image and video quality assessment and audio signal processing.
Ph.D., Signal and Image processing, National Institute for Applied Sciences of Rennes (INSA), France, 2015.
M.S., Telecommunications and Information System, Xidian University, Xi'an, China, 2011.
B.S., Electronics and Information Engineering, Northwestern Polytechnical University, Xi'an, China, 2008.
2015 - 2017 High Dynamic Range video coding solution
Take part in the French collaborative project “4EVER-2”, which is the extension to “4EVER”. The project “4EVER-2” was designed to advance French research on standardization of both the HEVC video encoding technology and the UDH-TV format definition.
My research focuses on the High Dynamic Range (HDR) video coding solution. After an analysis of the Electro-Optical Transfer Function (EOTF) of HDR display, I proposed two adaptive quantization algorithms. These algorithms aim to preserve the contrast
information of the HDR content with integer representation. They are also applied to video coding to serve the storage and transmission of the HDR content.
2011-2015 A low-complexity lossless image codec
Proposed a low-complexity scalable lossless image compression method. Comparing to JPEG2000, my proposal achieves an equivalent coding efficiency with shorter coding latency. Besides, this coding method
can support the multi-resolution representation and is friendly to the implementation in software and hardware.
A Rate-Distortion-Optimization (RDO) scheme on a locally adaptive resolution codec
Designed a Rate-Distortion-Optimization (RDO) scheme on a locally adaptive resolution codec for the lossy image compression. This scheme helps the codec to configure its parameters automatically in order
to achieve an optimal coding efficiency. With this RDO scheme, a Quality Control (QC) model is proposed to complete an objective quality constraint function. This function constrains the distortion of the
decoded image to a target value approximately. Besides, the perceptual quality of the decoded image is improved with a local application of the RDO scheme.
[J1] Yi Liu, Naty Sidaty, Wassim Hamidouche, Olivier Deforges, Giuseppe Valenzise and Emin Zerman, ``An Adaptive Quantizer for High Dynamic Range Content: Application to Video Coding'', IEEE Transactions on Circuits and Systems for Video Technology, vol. PP, no. 99, pp. 1-1. DOI: 10.1109/TCSVT.2017.2786746
[J2] Yi Liu, Wassim Hamidouche, Olivier Deforges, ``A Multi-modeling Electro-optical Transfer Function for Display and Transmission of High Dynamic Range Content'', vol. 63, no. 4, pp. 350-358, in Nov. 2017.
[J3] Yi Liu, Olivier Deforges, Khouloud Samrouth, ``LAR-LLC: A Low Complexity Multiresolution Lossless Image Codec'', IEEE Transactions on Circuits and Systems for Video Technology, Vol. 26, Issue: 8, pp. 1490-1501, Aug. 2016.
[J4] Khouloud Samrouth, Olivier Deforges, Yi Liu, Mohamad Khalil, Wassim EL Falou, ``Autofocus on Depth of Interest for 3D image coding'', Hindawi Journal of Electrical and Computer Engineering, Vol. 2017, ID. 9689715, Feb. 2017.
[C1] Yi Liu, Naty Sidaty, Wassim Hamidouche, Olivier Deforges, Giuseppe Valenzise, Emin Zerman, ``An adaptive perceptual quantization method for HDR video coding'', IEEE International Conference on Image Processing (ICIP), pp. 1027-1031, 2017.
[C2] Yi Liu, Olivier Deforges, Pasteau Francois, Khouloud Samrouth, ``One pass quality control and low complexity RDO in a quadtree based scalable image coder'', IEEE International Conference on Image Information Processing, Best Paper, pp.187-192, Dec. 2013
[C3] Yi Liu, Olivier Deforges, Pasteau Francois, Khouloud Samrouth, ``Low complexity RDO model for locally subjective quality enhancement in LAR coder,'' IEEE International Conference on Signal and Image Processing Applications, pp.176,181, Oct. 2013
[C4] Khouloud Samrouth, Olivier Deforges, Yi Liu, Wassim Falou, Mohamad Khalil, ``A joint 3D image semantic segmentation and scalable codig scheme with ROI approach,'' IEEE Visual Communications and Image Processing Conference, pp. 270-273. Dec. 2014.
[C5] Khouloud Samrouth, Olivier Deforges, Yi Liu, Pasteau Francois, Mohamad Khalil, Wassim Falou, ``Efficient depth map compression exploiting correlation with texture data in multiresolution predictive image coders'', IEEE International Conference on Multimedia and Expo Workshops, pp.1,6, July 2013
[C6] Erwan Raffin, Morgan Lacour, Erwan Nogues, Maxime Pelcat, Daniel Menard, Yi Liu, ``Detailed Evaluation of Tunable Image Quality HEVC Decoding'', Contribution to 112th MPEG meeting for GreenMetadata ad hoc group, Jun. 2015.