An adaptive framework for scalable multi-view video coding for the H.264/AVC standard

  • Authors:
  • Hoda Roodaki

  • Affiliations:
  • School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran

  • Venue:
  • Proceedings of the 20th ACM international conference on Multimedia
  • Year:
  • 2012

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Abstract

Multi-view 3D video is currently attracting growing attention in several applications such as the 3DTV, free-view point video and entertainment industry where it can be used to provide multi-perspective viewing and 3D scene experiences. In multi-view 3D video, several 3D video sequences should be captured simultaneously from the same scene but through different viewing angles. One of the major challenges in this field is how to transmit the large amount of data of a multi-view 3D video sequence over error prone channels to heterogeneous devices with different bandwidth, resolution, and processing power, while maintaining a high visual quality. Scalable Multi-view 3D Video Coding (SMVC) is one of the methods to address this challenge. But there are many difficulties in SMVC that makes it impractical in most 3D video applications. In this work, we propose an adaptive framework to use SMVC in various 3D video applications effectively. The current prototype shows enhanced capability in handling the existing 3D video applications.