Scalable Video By Software

  • Authors:
  • J. A. Nicholls;D. M. Monro

  • Affiliations:
  • CAIP Center, Rutgers Univ., Piscataway, NJ, USA;-

  • Venue:
  • ICASSP '96 Proceedings of the Acoustics, Speech, and Signal Processing, 1996. on Conference Proceedings., 1996 IEEE International Conference - Volume 04
  • Year:
  • 1996
  • Fractal Video Compression on Shared Memory Systems

    ParNum '99 Proceedings of the 4th International ACPC Conference Including Special Tracks on Parallel Numerics and Parallel Computing in Image Processing, Video Processing, and Multimedia: Parallel Computation

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Abstract

An error concealment scheme for Motion Picture Experts Group (MPEG) video networking is proposed. During video transmission, video packet loss occurs in the presence of network congestion and buffer overflow. This phenomenon of packet loss transforms into single or multiple macroblock loss in the decoding process, which can severely degrade the viewing quality. The new method differs from the conventional concealment by its exploitation of temporal redundancies in a large scale. In many applications where there is significant camera motion (e.g., remote surveillance), the evolution from frame to frame can be well described by the affine motion. The motion estimation is carried out by registering images within a multiresolution pyramid. The global motion is estimated in the lowest resolution level, and is then used to update and refine the local motion. The local motion is further refined iteratively at higher resolution levels. An affine transform is used to extract translation, scaling and rotation parameters.