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
  • [21] Theoretical analysis of information watermarking in wavelet-based video compression
    Casey, BK
    Claypoole, RL
    APPLICATIONS OF DIGITAL IMAGE PROCESSING XXVI, 2003, 5203 : 499 - 510
  • [22] Transcoding from Hybrid Nonscalable to Wavelet-Based Scalable Video Codecs
    Peixoto, Eduardo
    Zgaljic, Toni
    Izquierdo, Ebroul
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2012, 22 (04) : 502 - 515
  • [23] Wavelet-based scalable video coding with low complex spatial transform
    Park, S
    Oh, H
    Kim, W
    8th International Conference on Advanced Communication Technology, Vols 1-3: TOWARD THE ERA OF UBIQUITOUS NETWORKS AND SOCIETIES, 2006, : U1333 - U1335
  • [24] Lossy hyperspectral image compression with state-of-the-art video encoder
    Santos, Lucana
    Lopez, Sebastian
    Callico, Gustavo M.
    Lopez, Jose F.
    Sarmiento, Roberto
    HIGH-PERFORMANCE COMPUTING IN REMOTE SENSING, 2011, 8183
  • [25] State-of-the-Art Trends in Data Compression: COMPROMISE Case Study
    Podgorelec, David
    Strnad, Damjan
    Kolingerova, Ivana
    Zalik, Borut
    ENTROPY, 2024, 26 (12)
  • [26] A wavelet-based region of interest encoder for the compression of angiogram video sequences
    Gibson, D
    Spann, M
    Woolley, SI
    IEEE TRANSACTIONS ON INFORMATION TECHNOLOGY IN BIOMEDICINE, 2004, 8 (02): : 103 - 113
  • [27] WAVELET-BASED IMAGE COMPRESSION
    ELEKES, AA
    JERSAK, BD
    SCHMIDT, WM
    RADIOLOGY, 1995, 197 : 223 - 223
  • [28] Wavelet-based compression of terrain
    Yi, S
    Yang, YJ
    Ping, Z
    IGARSS 2003: IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, VOLS I - VII, PROCEEDINGS: LEARNING FROM EARTH'S SHAPES AND SIZES, 2003, : 2030 - 2032
  • [29] A non-uniform wavelet-based video/image compression technique
    Jassim, S
    Ma, JM
    Adams, C
    CISST'03: PROCEEDING OF THE INTERNATIONAL CONFERENCE ON IMAGING SCIENCE, SYSTEMS AND TECHNOLOGY, VOLS 1 AND 2, 2003, : 389 - 395
  • [30] Wavelet-based video modelling
    Dumitru, Octavian
    Mitrea, Mihai
    Preteux, FranVoise
    PROCEEDINGS ELMAR-2008, VOLS 1 AND 2, 2008, : 105 - 108