Curriculum Vitae - Pan Gao School of Mechanical and Electrical Engineering University of Southern Queensland Toowoomba, QLD 4350, Australia Personal Information Name Pan Gao. Gender Male. Citizenship People s Republic of China. Date of Birth Aug. 10th, 1986. Tel (+61) 0416989451. E-mail Pan.Gao@usq.edu.au, gaopan.1005@gmail.com. Hobby Ping-pong, Badminton, Traveling, Hiking, Writing paper. Academic Education PhD PhD candidate, Electronic Engineering. Feb. 2013 Present University of Southern Queensland (USQ), Toowoomba, Australia. Academic Advisors: A/Prof. Wei Xiang and Prof. John Billingsley (Expect to be completed by Apr. 2016.) MS Computer System Architecture. Sept. 2009 Jul. 2012 Southwest Jiaotong University, Chengdu, China. Academic Advisor: Prof. Qiang Peng (GPA: 3.40/4.0, Equivalent Marks: 85.30%) BS Computer Science and Technology. Sept. 2005 Jul. 2009 Sichuan Normal University, Chengdu, China. (GPA: 3.59/4.0, Equivalent Marks: 86.08%) Research Areas 2D/3D Video Coding and Distributed Video Coding, Error-Resilient Video Coding Techniques, Rate-Distortion Optimization Theory, Computer Vision and Machine Learning, Embedded Multimedia System Relevant Skills Research Skills Programming In-depth understanding of image/video processing, and video coding techniques Strong knowledge in 2D/3D video coding standards, and video coding reference test models, including JM (H.264/AVC), JSVM (H.264/SVC), JMVC (H.264/MVC), HM (H.265/HEVC), 3D-ATM (3D-AVC), 3D-HTM (3D-HEVC) Hand-on experience in design and implementation of image and video processing algorithms Highly self-motivated, goal-oriented, and good communication skills C/C++: Over 4 years programming experience in C/C++, GUI design using Microsoft Foundation Class (MFC), familiar with Linux, concurrent programming and socket programming Matlab: Excellent in image processing
Embedded system programming on prevalent ARM micro-controllers (PXA255, PX- A270), including cross compiling ffmpeg and QT programming Mathematics Documentation Database English Proficient in advanced mathematics for system modeling, analysis, and optimization (including probability and statistics, and convex optimzaiton). Excellent in LaTex and MS-Office. Hand-on experiences in MySQL, Postgre SQL. IELTS 6.0 (Fluent in reading, writing, and fairing in speaking). Scholarship and Awards USQ Publication Excellence Award 2015 Among the 456 registered full-time PhD research students at USQ, only 4 PhD students were awarded this honor. Certificate of Appreciation, reviewer of Journal Electronic Imaging (SCI Indexed), 2015 Postgraduate Scholarship Program of China Scholarship Council (2013-2014) USQ Postgraduate Research Scholarship, 2013-2015 Southwest Jiaotong University Postgraduate Student Scholarship, 2010, 2011 This scholarship is offered to the Postgraduate students every academic year who have excellent academic scores. Less than 10% top students can get the first class scholarship. Sichuan Province Excellent Graduates Award, 2009 This award offers to the graduates who have excellent capabilities and outstanding specialism during the past four years. Only 1% of the students can get this award. Outstanding Thesis Award of Sichuan Normal University, 2009 This award offers to the first 3% of the undergraduate students based on their Bachelor s thesis. the National Inspiring Scholarship, 2006 This scholarship is offered to encourage excellent students from economically disadvantaged families every academic year. Professional Experience Research Assistant, Wireless Multimedia Communications Group @ USQ, Jul. 2013 Jun. 2015. Assignment Marker, ENG3104 Engineering Simulations and Computations, ELE1301 Computer Engineering @ USQ, Jul. 2013 Jun. 2015. Teaching Assistant, Embedded System Design, Microcomputer Interface Technique, Internet and E- commerce System @ SWJTU, Sept. 2011 Jan. 2013 Selected Publications Refereed Journal Papers [1] P. Gao and W. Xiang, Disparity vector correction for view synthesis prediction-based 3-D video transmission, IEEE Trans. Multimedia, vol. 17, no. 8, pp. 1153-1165, Aug. 2015. (Top Journal) [2] P. Gao and W. Xiang, Rate-distortion optimized mode switching for error-resilient multi-view video plus depth based 3-D video coding, IEEE Trans. Multimedia, vol. 16, no. 7, pp. 1797-1808, Nov. 2014. (Top Journal) Top 50 most frequently downloaded papers from IEEE Trans. Multimedia: {11-12}/2014
[3] W. Xiang, P. Gao*, and Q. Peng, Robust multiview three-dimensional video communications based on distributed video coding, IEEE Systems Journal, Apr. 2015 (DOI: 10.1109/JSYST.2015.2414662). (IF: 1.98, to appear) (Co-first author)(top Journal) [4] P. Gao, Q. Peng, and W. Xiang, Error-resilient multi-view video coding using Wyner-Ziv techniques, Multimedia Tools and Applications, vol. 74, no. 17, pp. 7957-7982, Sept. 2015. (IF: 1.32) [5] P. Gao, Wei Xiang, Q. Peng, and J. Billingsley A rate-distortion optimized error-resilient algorithm for multi-view video coding, Circuits, Syst., and Signal Process., vol. 35, no. 1, pp. 301-323, Jan. 2016. (IF: 1.118) [6] W. Xiang and P. Gao*, Distributed video coding-based robust mobile multi-view 3-D video communications, IEEE COMSOC MMTC E-Letter, vol. 9, no. 1, pp. 17-19, Jan. 2014. (Co-first author) [7] P. Gao, Q. Peng, and Q. Wang, Error-resilient multi-view video coding based on end-to-end ratedistortion optimization, Accepted by Chinese Journal of Electronics, Oct. 2014. (SCI indexed, ERA ranked B) [8] P. Gao, Q. Peng, and Q. Wang, An error resilient coding algorithm in multiview video coding, Acta Electronica Sinica ( 电子学报 ), vol. 40, no. 12, pp. 2544-2588, Dec. 2012. (SNIP = 0.947) Papers Under Preparation [1] P. Gao, W. Xiang, Q. Peng, and C. W. Chen End-to-end distortion modeling for view synthesis prediction-based 3-D video transmission, in Preparation for IEEE Trans. Circuits Syst. Video Technol.. Refereed Conference Papers [1] P. Gao, W. Xiang, and L. Zhang, Transmission distortion modeling for view synthesis prediction based 3-D video streaming, in Proc. IEEE Int. Conf. Acoustics, Speech, and Signal Processing (ICASSP 2015), Apr. 2015, pp. 1448 1452. (Flagship conference) [2] P. Gao and W. Xiang, Modeling of packet-loss-induced distortion in 3-D synthesized views, in Proc. IEEE Int. Conf. Visual Communications and Image Processing (VCIP 2015), Dec. 2015, pp. 1-5. (Flagship conference) [3] P. Gao, W. Xiang, J. Billingsley, and Y. Zhang, Error-resilient multi-view video coding for next generation 3-D video broadcasting, in Proc. IEEE Int. Conf. Information and Communication Technology Convergence (ICTC), Jeju Island, South Korea, Oct. 2013, pp. 1022-1026. [4] P. Gao, Q. Peng, Q. Wang, X. Liu, and C. Zhang, Adaptive disparity and motion estimation for Multiview video coding, in Proc. IEEE International Congress on Image and Signal Processing (CISP2011), vol. 1, Oct. 2011, pp. 66-71. [5] P. Gao, Q. Peng, and X. Liu, Rate distortion optimized coding mode selection for multiview video coding, 20th National Multimedia Conference, Beijing, Sept. 2011. (in Chinese) Patent Application [1] P. Gao, Q. Peng, Q. Wang, and X. Liu, A novel distributed video coding based error control method for multi-view video transmission, China Patent Application: 201210207015.6, Jun. 2012, Granted Number: CN102740081B. The patent right has been transferred to a high-tech company, and the relevant technologies have been applied to the industry. ( 专利授权, 并转让给某科技公司 ) [2] P. Gao, S. Li, and Q. Peng, A joint source/channel coding scheme for error control multi-view video coding, China Patent Pending, Feb. 2016.
Professional Services Student member, IEEE. Regular Reviewer for prestigious international journals including IEEE Transactions on Multimedia, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Broadcasting, IET Image Processing, Journal of Electronic Imaging, Journal of Multimedia, Circuits System and Signal Processing. Reviewer for international conference VCIP 2014, PCS 2015, ICIP 2015. I have reviewed more than 50 papers in international journals and conferences. Project Experiences (1) Jul. 2012 Jan. 2015: Major Investigator of Smart Futures Fellowship funded by Queensland Government, Australia. Research Topic: Autostereoscopic Immersive 3-D Video Communications System Error resilience and concealment for multi-view video plus depth based 3-D video coding. Motivations and Contributions: Recently, three dimensional video (3DV) has gained increasing interests as a new multimedia technique, which evolvs towards new systems that include glassless displays and provide realistic impression of depth. In such 3-D video system, the multi-view video plus depth (MVD) representation has emerged as the best format for representing 3-D video. Similar to 2-D video, 3-D video is also very sensitive to transmission errors due to errors propagated from the current frame to the future predicted frames. Moreover, since the virtual views are rendered from the compressed texture video and depth maps, transmission errors of the distorted texture videos and depth maps can be additionally propagated to the virtual views. Therefore, compared to the reliability of the transmission of the 2-D video, robust transmission of texture video and depth map is a more challenging problem. In this project, we will concentrate our efforts on improving the error resilience performance of MVD based 3-D video in packet loss scenarios. The research mainly involves two aspects: one is to develop rate-distortion optimized error-resilient MVD coding algorithms at the encoder to strike balance between coding efficiency and error robustness, and another is to design efficient error concealment strategy at the decoder to mask the effect of residual transmission errors in the context of MVD videos. (2) Jul. 2010 Jan. 2013: Major Investigator in the National Natural Science Foundation of China under No. 60972111. Research Topic: Research on key technologies of error control in a new distributed multi-view video coding framework. Motivations and Contributions: Video transmission over packet-switched networks usually suffers from packet losses. The use of the prediction loop in video coding will cause these errors to propagate to subsequent frames, and thus significantly impacts on the received video quality. With the increasing number of cameras to capture the scene, robustly delivering multi-view 3-D video over error-prone channels becomes a rather challenging task. Thanks to recent development of distributed video coding, this project aims to proposes two alternative error-resilient schemes for multi-view video transmission based on Wyner-Ziv (WZ) coding technique, which are referred to as lightweight encoder error-resilient (LEER) scheme and complex encoder error-resilient (CEER) scheme, respectively. LEER suggests no communications is required between the cameras at the encoder, while the temporal and inter-view redundancy can be explored at the decoder. This intrinsic joint source-channel coding scheme is hence well suited for the applications such as low power sensor networks, multi-view wireless surveillance, and mobile communications devices. CEER refers to that employs an auxiliary redundant stream encoded according to WZ coding principle, to protect a primary stream encoded with standard multi-view video coding codec. This type of architecture is typically suited for the applications where the video is encoded once and decoded many times, such as broadcasting or video-on-demand. (3) Jul. 2010 Jan. 2013: Participate in the National Natural Science Foundation of China under No. 61036008.
Research Topic: Perception-oriented stereoscopic 3-D video coding based on Just-Noticeable-Distortion (JND) profile. Motivations and Contributions: Just Noticeable Distortion (JND) is a promising way to model the perceptual redundancy, which accounts for the maximum distortion threshold that human visual system (HVS) does not perceive. Many HVS features, such as luminance, texture, and temporal masking, have been utilized to determine the JND models. However, all the JND models are built for mono-video, which are incompetent for discarding the stereoscopic perceptual redundancy. The research of this project will focus on efficient stereoscopic perceptual video coding based on a new image-domain JND models. The proposed scheme in this project will firstly establish a foveation-weighting JND model based on the viewing position of the parallax barrier auto-stereoscopic display. Then, in order to improve the stereoscopic coding efficiency, the foveation-weighting JND model can be incorporated into a block-adaptive residue preprocessing method to reduce the unnecessary perceptual redundancy. (4) Jul. 2010 Mar. 2011: Participate in the cutting-edge project of industry. Project Topic: Compatibility testing of H.264/AVC video codec for highway video surveillance. Motivations and Contributions: This project mainly focuses on testing whether the H.264/AVC encoders of different companies can be interoperable/compatible with each other or not in highway video networking surveillance. We are responsible for setting universal video encoding and decoding parameters (i.e., profile and level) for various companies to generate a conforming bitstream. We also develop some visualisation softwares to identify that the real products from various companies can meet the requirement or not. Friends Ivan Zupancic, PhD Student, Ultra high definition video coding, Queen Mary University of London, UK. Chao Yang, PhD Student, 3D-HEVC coding and perceptual video coding, Shanghai University, China. Marko Viitanen, Master Student, HEVC screen content coding, Tampere University of Technology, Finland. Yanhua Chen, Senior Engineer, Huawei Technologies Co. Ltd, Shenzhen, China. References Prof. Wei Xiang College of Science, Technology and Engineering James Cook University Cairns, QLD 4870, Australia Wei.Xiang@jcu.edu.au +61 (07) 4232 1306 Prof. John Billingsley School of Mechanical and Electrical Engineering University of Southern Queensland Toowoomba, QLD 4350, Australia John.Billingsley@usq.edu.au +61 (07) 4631 2513 Prof. Qiang Peng School of Information Science and Technology Southwest Jiaotong University Chengdu, Sichuan 610031, China qpeng@home.swjtu.edu.cn