Paper
1 September 1990 Comparing motion-interpolation structures for video coding
Atul Puri, R. Aravind
Author Affiliations +
Proceedings Volume 1360, Visual Communications and Image Processing '90: Fifth in a Series; (1990) https://doi.org/10.1117/12.24201
Event: Visual Communications and Image Processing '90, 1990, Lausanne, Switzerland
Abstract
This paper considers the topic of video compression at bit-rates around 1 Mbps for digital storage/playback applications. The backbone algorithm employed is the well-known motion-compensated prediction-error coder. This approach is considerably enhanced by the incorporation of conditional motion-compensated interpolation (CMCI), where some of the video frames are encoded with prediction-error coding and the remainder are encoded with motion-compensated interpolation and interpolation-error coding. The advantage of this combined technique is that interpolation errors can be coded with much fewer bits than prediction errors for similar reconstructed-picture quality. We consider two different techniques for estimating motion in CMCI- coded frames. In order to facilitate direct interaction with the bit-stream, the input sequence is divided into groups such that one frame in each group is intra-coded. The arrangement of predictive- and CMCI-coded frames can be varied; a study of these arrangements is the major focus of this paper. Structures with one-, two- and four-frame interpolation are compared. Our results indicate that one-frame interpolation is inferior to two-frame interpolation on complex test material. Four-frame interpolation is comparable in performance to two-frame interpolation as long as the motion is compensable.
© (1990) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Atul Puri and R. Aravind "Comparing motion-interpolation structures for video coding", Proc. SPIE 1360, Visual Communications and Image Processing '90: Fifth in a Series, (1 September 1990); https://doi.org/10.1117/12.24201
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Cited by 5 scholarly publications.
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KEYWORDS
Motion estimation

Computer programming

Signal to noise ratio

Video

Quantization

Video coding

Image processing

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