2007 IEEE International Conference on Image Processing - San Antonio, Texas, U.S.A. - September 16-19, 2007

TUT-1: Distributed Video Coding for Low Cost Video Encoding

Date: Sunday Morning, September 16, 09:00 - 12:20
Location: Blanco

Presented by

Anil Fernando, University of Surrey

Abstract

Video Coding technologies have evolved tremendously over past decades in line with the rapidly increasing demand over vastly expanding application domains. The research on video coding has been traditionally dominated by the work on MPEG and ITU-T H.26x standardisations based systems. It is known that in these mainstream technologies the video encoders are far more complex (by approximately 5 to 10 times) than the decoder structure. This architecture was motivated by many of the conventional one-to-many type video applications including broadcasting (DVB), video streaming etc where the decoder cost need to maintained considerably low for the benefit of large numbers of viewers compared to the limited number of content providers. However, more recently, this architecture is challenged by new consumer applications where the cost of encoder is a prime concern due to the necessity of vast deployments of video sensors. Security surveillance systems, mobile video conferencing, monitoring of the disabled people and children, disaster zone monitoring are a few potential scenarios which are largely benefited by massive encoder deployments. Distributed Video Coding (DVC) is an emerging video coding technology designed with a modified complexity balance between the encoder and decoder in line with the necessities of these applications. The dramatically low complexity of the DVC encoder helps these solutions by: (i) reducing the production cost of the signal processors of the video sensors, (ii) reducing the requirement of digital memory and (iii) reducing the power consumption which is generally a scarce resource at remote sites. In this tutorial, we will be discussing the following topics.

  1. Brief overview to distributed source coding.
  2. Concept of DVC.
  3. The architecture of the DVC codec based on turbo coding.
    1. Preparation of input bitstream using /quantization /& /bitplane extraction/ for turbo encoding.
    2. Puncturing the parity bit stream for video compression.
    3. Side information generation using /key-frames/.
    4. Turbo decoding using side information and parity from encoder.
    5. Reconstruction function.
  4. Modifications to the current DVC codec architecture.
  5. The hypothetical assumptions and models used in the current architecture and designing practical solutions.
  6. Statistical Modeling of Distribution estimation at the decoder.
  7. Dynamic error estimation at the decoder.
  8. Future research directions.
  9. Video communications over noisy/wireless channels using DVC.
  10. Applications and business Models.
  11. Future of the distributed Video Coding.

Speaker Biography

Dr. Anil Fernando received the B.Sc. Engineering degree (First class) in Electronic and Telecommunications Engineering from the University of Moratuwa, Sri Lanka in 1995 and the MEng degree (Distinction) in Telecommunications from Asian Institute of Technology (AIT), Bangkok, Thailand in 1997. He completed his PhD at the Department of Electrical and Electronic Engineering, University of Bristol, UK in February 2001. Currently, he is a senior lecture in signal processing at the University of Surrey, UK. Prior to that, he was a senior lecturer in Brunel University, UK and an assistant professor in AIT. His current research interests include Distribute Video Coding (DVC), 3D video coding, intelligent video encoding for wireless communications, OFDM and CDMA for wireless channels, channel coding and modulation schemes for wireless channels. He has published more than 145 international papers on these areas. He is a senior member of IEEE and a fellow of the HEA, UK. He is also a member of the EPSRC College.


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