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Proceedings Paper

Adaptive frame type selection for low bit-rate video coding
Author(s): Jungwoo Lee; Bradley W. Dickinson
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Paper Abstract

In this paper, we present an adaptive frame type selection algorithm for motion compensation, which is applied to low bit rate video coding. In the adaptive scheme, the number of reference frames for motion compensation is determined by a scene change detection algorithm using temporal segmentation. To choose for the distance measure for the temporal segmentation, three histogram-based measures and one variance-based measure were tested and compared. The reference frame positions may be determined by an exhaustive search algorithm which is computationally complex. The complexity can be reduced by using a binary search algorithm which exploits the monotonicity of the distance measure with respect to the reference frame interval. Variable target bit allocation for each picture type in a group of pictures is used to allow a variable number of reference frames with the constraint of constant channel bit rate. Simulation results show that the reference frame positioning scheme compares favorably with the fixed interpolation structure at the bit rates of 64 kb/s and 14.4 kb/s.

Paper Details

Date Published: 16 September 1994
PDF: 12 pages
Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); doi: 10.1117/12.185899
Show Author Affiliations
Jungwoo Lee, Princeton Univ. (United States)
Bradley W. Dickinson, Princeton Univ. (United States)


Published in SPIE Proceedings Vol. 2308:
Visual Communications and Image Processing '94
Aggelos K. Katsaggelos, Editor(s)

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