• Advanced Institute of Engineering and Technology (AVITECH)

  • Uncategorized

    AVITECH Seminar series: February 19, 2019, Dr. Hoang Van Xiem, Video coding

    You are cordially invited to join a visiting seminar organized by AVITECH.

    Title

    Joint Layer Prediction for Improving SHVC Compression Performance and Error Concealment

    Speaker

    Dr. Hoang Van Xiem, UET, VNU

    Time: 15:30, Tuesday, February 19, 2019
    Venue: E3-707, 144 Xuan Thuy, Cau Giay, Hanoi

    ABSTRACT

    Scalable High Efficiency Video Coding (SHVC) standard is expected to play a more important role in the heterogeneous landscape of broadcasting, multimedia, networks, and various services applications as it is specified as a layered coding technique in the ATSC (Advanced Television Systems Committee) 3.0. However, its block-based structure of temporal and spatial prediction makes it sensitive to information loss and error propagation due to transmission errors. In this context, we propose an improved SHVC with a joint layer prediction (JLP) solution which adaptively combines the decoded information from the base and the enhancement layers to create an additional reference for the SHVC enhancement encoder. To optimize the quality of the joint prediction, the minimum mean square error (MMSE) estimation is executed in computing a combination factor that gives weights to each contribution of the decoded information from the layers. In addition, the proposed JLP is integrated into the SHVC decoder to work as an error concealment solution to mitigate the error propagation happening inevitably in practical video transmission. Experiments have shown that the proposed SHVC framework significantly outperforms its relevant benchmarks, notably by up to 14.8% in bitrate reduction with respect to the standard SHVC codec. The proposed SHVC error concealment strategy also greatly improves the concealed picture quality as well as reducing the problem of error propagation when compared to conventional error concealment approaches.

    BIOGRAPHY

    Hoang Van Xiem is a member of the Faculty of Electronics and Telecommunications, Vietnam National University – University of Engineering and Technology (VNU-UET). He received the Ph.D. degree (with Distinction) from Lisbon University, Portugal, in 2015, the M.Sc. degree from Sungkyunkwan University, South Korea, in 2011, and the B.E degree from Hanoi University of Science and Technology, Vietnam, in 2009, all in Electrical and Computer Engineering. He is an executive committee member of the VNU-UTS Joint Innovation and Technology research center. His research interests are machine learning, image, video processing, and robot vision. Dr. Xiem has published more than 40 papers on image and video coding and regularly reviews for many renowned IEEE, IET and EURASIP journals, including IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Image Processing, and IEEE Transactions on Broadcasting. He also serves as a technical committee member for many international conferences and funding agencies worldwide. He has received several technical awards for his contributions on image and video coding, including the Best paper award of the Picture Coding Symposium 2015 (Australia), the Best paper award of the International Workshop on Advanced Image Technology 2018 (Thailand), and the Ph.D. award of the Fraunhofer Portugal Challenge 2015, and the recent 2018 Outstanding reviewer award of the Elsevier Journal of Signal Processing: Image Communication.

    SAME CATEGORY

    Elementor #8673

    [userip_location type=ip][show_ip]

    January 10, 2023: Dr. Luu Phuc Loi (Pacific Informatics, Vietnam), Epigenomics in clinical applications

    More and more genetic and genomic testing are developed and approved to be used in clinic after human genome project finished in 2001. With the emerging of NGS in 2005, the genetic and genomic testing is further advanced and plays an important role in clinical diagnosis and prognosis. Were born later, epigenetic and epigenomic testing […]

    Joint master program with Paris-Saclay University

    Master program: Electronics, Electrical Energy, and Automatic control (E3A) Specialization: Communication and Data Engineering Degree: conferred by Paris-Saclay University Duration: 1 year (M2 only) Location: VNU-UET, Hanoi, Vietnam Application: (1/6/2022 – 17/8/2022) Call for Applications Application Form for Master programOnline Application Form Paris-Saclay University AboutREAD MORE Program coordinators @ Paris-Saclay University Prof. Arnaud Bournel, Paris-Saclay UniversityProf. […]