State-of-the-art and trends in scalable video compression with wavelet-based approaches

被引:62
|
作者
Adami, Nicola [1 ]
Signoroni, Alberto [1 ]
Leonardi, Riccardo [1 ]
机构
[1] Univ Brescia, Fac Engn, Dept Elect & Automat, I-25123 Brescia, Italy
关键词
Entropy coding; motion compensated temporal filtering (MCTF); MPEG; Scalable Video Coding (SVC); spatio-temporal multiresolution representations; video coding architectures; video quality assessment; wavelets;
D O I
10.1109/TCSVT.2007.906828
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Scalable Video Coding (SVC) differs form traditional single point approaches mainly because it allows to encode in a unique bit stream several working points corresponding to different quality, picture size and frame rate. This work describes the current state-of-the-art in SVC, focusing on wavelet based motion-compensated approaches (WSVC). It reviews individual components that have been designed to address the problem over the years and how such components are typically combined to achieve meaningful WSVC architectures. Coding schemes which mainly differ from the space-time order in which the wavelet transforms operate are here compared, discussing strengths and weaknesses of the resulting implementations. An evaluation of the achievable coding performances is provided considering the reference architectures studied and developed by ISO/MPEG in its exploration on WSVC. The paper also attempts to draw a list of major differences between wavelet based solutions and the SVC standard jointly targeted by ITU and ISO/MPEG. A major emphasis is devoted to a promising WSVC solution, named STP-tool, which presents architectural similarities with respect to the SVC standard. The paper ends drawing some evolution trends for WSVC systems and giving insights on video coding applications which could benefit by a wavelet based approach.
引用
收藏
页码:1238 / 1255
页数:18
相关论文
共 50 条
  • [1] Very low bit rate wavelet-based scalable video compression
    Asbun, E
    Salama, P
    Shen, K
    Delp, EJ
    1998 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING - PROCEEDINGS, VOL 3, 1998, : 948 - 952
  • [2] Advances in wavelet-based video compression
    Zhang, Zong-Ping
    Liu, Gui-Zhong
    Tien Tzu Hsueh Pao/Acta Electronica Sinica, 2002, 30 (06): : 883 - 889
  • [3] Design of wavelet-based scalable video codec
    Bao, YL
    Kuo, CCJ
    IMAGE AND VIDEO COMMUNICATIONS AND PROCESSING 2000, 2000, 3974 : 171 - 182
  • [4] Wavelet-Based Learned Scalable Video Coding
    Dong, Cunhui
    Ma, Haichuan
    Liu, Dong
    Woods, John W.
    2022 IEEE INTERNATIONAL SYMPOSIUM ON CIRCUITS AND SYSTEMS (ISCAS 22), 2022, : 3190 - 3194
  • [5] Influence of downsampling filter characteristics on compression performance in wavelet-based scalable video coding
    Mrak, M.
    Zgaljic, T.
    Izquierdo, E.
    IET IMAGE PROCESSING, 2008, 2 (03) : 116 - 129
  • [6] Efficient context modeling in scalable 3D wavelet-based video compression
    Felts, B
    Pesquet-Popescu, B
    2000 INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, VOL I, PROCEEDINGS, 2000, : 1004 - 1007
  • [7] WAVELET-BASED FINE GRANULARITY SCALABLE VIDEO CODING
    Zhang Jiangshan Zhu Guangxi (Dept. of Electronics & Info. Eng.
    JournalofElectronics(China), 2003, (01) : 38 - 44
  • [8] A scalable wavelet-based video distortion metric and applications
    Masry, M
    Hemami, SS
    Sermadevi, Y
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2006, 16 (02) : 260 - 273
  • [9] Wavelet-based highly efficient scalable video coding
    Zhang, JS
    Zhu, GX
    APOC 2002: ASIA-PACIFIC OPTICAL AND WIRELESS COMMUNICATIONS; WIRELESS AND MOBILE COMMUNICATIONS II, 2002, 4911 : 46 - 51
  • [10] The energy scalability of wavelet-based, scalable video decoding
    Eeckhaut, Hendrik
    Devos, Harald
    Stroobandt, Dirk
    INTEGRATED CIRCUIT AND SYSTEM DESIGN: POWER AND TIMING MODELING, OPTIMIZATION AND SIMULATION, 2007, 4644 : 363 - +