Paper
16 September 1994 Adaptive frame type selection for low bit-rate video coding
Jungwoo Lee, Bradley W. Dickinson
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.185899
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
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.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jungwoo Lee and Bradley W. Dickinson "Adaptive frame type selection for low bit-rate video coding", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.185899
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Cited by 1 scholarly publication and 5 patents.
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KEYWORDS
Distance measurement

Binary data

Detection and tracking algorithms

Sensors

Bismuth

Video coding

Quantization

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