Skip to main content
SpringerLink
Log in
Book cover

Advanced Video Coding Systems pp 1–16Cite as

Introduction

  • Chapter
  • First Online:

  • 1290 Accesses

Abstract

We are stepping into the era of big data due to the Internet wave. Besides other efforts, it is a key challenge to save the cost of storage and transmission of big data. It is clear that data compression would be a major tool to solve this problem. Within the large data, multimedia data, including image and video, has become the majority of Internet data flooding. According to the Cisco VNI report, mobile video traffic exceeded 50 % for the first time in 2011, and Internet video traffic is predicted to be 86 % of all consumer Internet traffic in 2016 (Cisco 2014). The video contents created and viewed by people in modern life are increasing exponentially. However, video and audio compression efficiency only increases linearly from one generation to the next. It poses a great challenge to the development of video and audio compression technologies.

This is a preview of subscription content, log in via an institution.

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   84.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD   109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

References

  • Ahmed N, Natarajan T, Rao KR (1974) Discrete cosine transform. IEEE Trans Comput 100(1):90–93

    Article  MathSciNet  Google Scholar 

  • Au J (2002) Complexity reduction of CAVLC. In: Joint Video Team of ISO/IEC JTC1/SC29/WG11, ITU-T SG16/Q.6 Doc., Fairfax, VA, JVT-C028

    Google Scholar 

  • AVS (2014) AVS Working Group Website: http://www.avs.org.cn

  • Bjontegaard G, Lillevold K (2002) Context-adaptive VLC (CVLC) coding of coefficients. In: Joint Video Team of ISO/IEC JTC1/SC29/WG11 ITU-T SG16/Q.6 Doc., Fairfax, VA, JVT-C028

    Google Scholar 

  • CCITT (1990) Recommendation H.261, Video Codec for Audiovisual Services at p x 64 kbit/s

    Google Scholar 

  • Chen CF, Pang KK (1993) The optimal transform of motion-compensated frame difference images in a hybrid coder. IEEE Trans Circuits Syst II: Analog Digit Signal Process 40(6):393–397

    Article  MATH  Google Scholar 

  • Chen CP, Chen CS, Chung KL, Lu HI, Tang GY (2004) Image set compression through minimal-cost prediction structures. In: ICIP, pp 1289–1292

    Google Scholar 

  • Christopoulos C, Skodras A, Ebrahimi T (2000) The JPEG2000 still image coding system: an overview. IEEE Trans Consum Electron 46(4):1103–1127

    Article  Google Scholar 

  • Cisco (2014) Cisco visual networking index: global mobile data traffic forecast update, 2013–2018

    Google Scholar 

  • Gao W, Ma S, Zhang L, Su L, Zhao D (2010) AVS video coding standard. In: Intelligent multimedia communication: techniques and applications, pp 125–166

    Google Scholar 

  • Gao W, Tian Y, Huang T, Ma S, Zhang X (2013) IEEE 1857 standard empowering smart video surveillance systems

    Google Scholar 

  • Hotelling H (1933) Analysis of a complex of statistical variables into principal components. J Educ Psychol 24(6):417–441

    Google Scholar 

  • Huffman DA et al (1952) A method for the construction of minimum redundancy codes. Proc IRE 40(9):1098–1101

    Google Scholar 

  • ITU-T (1994) ITU-T Recommendation H.262 generic coding of moving pictures and associated audio information—Part 2: video

    Google Scholar 

  • ITU-T (1995) ITU-T Recommendation H.263 video coding for low bit rate communication, version 1

    Google Scholar 

  • ITU-T (2003) ITU-T Recommendation H.264, advanced video coding

    Google Scholar 

  • ITU-T (2013) ITU-T Recommendation H.265, high efficiency video coding

    Google Scholar 

  • Jerri AJ (1977) The Shannon sampling theorem its various extensions and applications: a tutorial review. Proc IEEE 65(11):1565–1596

    Article  MATH  Google Scholar 

  • Karadimitriou K, Tyler JM (1998) The centroid method for compressing sets of similar images. Pattern Recognit Lett 19(7):585–593

    Article  Google Scholar 

  • Mallat SG (1989a) Multifrequency channel decompositions of images and wavelet models. IEEE Trans Acoust Speech Signal Process 37(12):2091–2110

    Article  Google Scholar 

  • Mallat SG (1989b) A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans Pattern Anal Mach Intell 11(7):674–693

    Article  MATH  Google Scholar 

  • Marpe D, Schwarz H, Wiegand T (2003) Context-based adaptive binary arithmetic coding in the h. 264/avc video compression standard. IEEE Trans Circuits Syst Video Technol 13(7):620–636

    Article  Google Scholar 

  • McKinney JC, Hopkins CDR (1995) ATSC digital television standard. Advanced Television System Committee

    Google Scholar 

  • Musatenko YS, Kurashov VN (1998) Correlated image set compression system based on new fast efficient algorithm of Karhunen-Loeve transform. In: Photonics East (ISAM, VVDC, IEMB), International Society for Optics and Photonics, pp 518–529

    Google Scholar 

  • Reader C (2002) History of MPEG video compression. In: Joint Video Team (JVT) of ISO/IEC MPEG ITU-T VCEG, Doc. JVT-E066

    Google Scholar 

  • Rissanen J, Langdon GG Jr (1979) Arithmetic coding. IBM J Res Dev 23(2):149–162

    Article  MATH  MathSciNet  Google Scholar 

  • Srinivasan S, Hsu P, Holcomb T, Mukerjee K, Regunathan SL, Lin B, Liang J, Lee MC, Ribas-Corbera J (2004) Windows media video 9: overview and applications. Signal Process: Image Commun 19(9):851–875

    Google Scholar 

  • Sullivan GJ, Sun S (2005) On dead-zone plus uniform threshold scalar quantization. In: Visual communications and image processing 2005, international society for optics and photonics, pp 596,033–596,033

    Google Scholar 

  • Wallace GK (1992) The JPEG still picture compression standard. IEEE Trans Consum Electron 38(1):xviii–xxxiv

    Google Scholar 

  • Wang H, Ma M, Jiang YG, Wei Z (2014) A framework of video coding for compressing near-duplicate videos. In: MultiMedia modeling. Springer, Berlin, pp 518–528

    Google Scholar 

  • Weinberger MJ, Seroussi G, Sapiro G (2000) The LOCO-I lossless image compression algorithm: principles and standardization into JPEG-LS. IEEE Trans Image Process 9(8):1309–1324

    Article  Google Scholar 

  • Westin P, Lundin H, Glover M, Uberti J, Galligan F (2014) RTP payload format for VP8 video draft-ietf-payload-vp8-12

    Google Scholar 

  • Wiegand T, Zhang X, Girod B (1999) Long-term memory motion-compensated prediction. IEEE Trans Circuits Syst Video Technol 9(1):70–84

    Article  Google Scholar 

  • Wiegand T, Sullivan GJ, Bjontegaard G, Luthra A (2003) Overview of the H. 264/AVC video coding standard. IEEE Trans Circuits Syst Video Technol 13(1):560–576

    Article  Google Scholar 

  • Zou R, Au OC, Zhou G, Dai W, Hu W, Wan P (2013) Personal photo album compression and management. In: 2013 IEEE international symposium on circuits and systems (ISCAS). IEEE, pp 1428–1431

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Peking University, Beijing, China

    Wen Gao & Siwei Ma

Authors
  1. Wen Gao
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Siwei Ma
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Wen Gao .

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Gao, W., Ma, S. (2014). Introduction. In: Advanced Video Coding Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-14243-2_1

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-14243-2_1

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-14242-5

  • Online ISBN: 978-3-319-14243-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation