JOURNAL ARTICLE

Long-term memory motion-compensated prediction

Thomas WiegandXiaozheng ZhangBernd Girod

Year: 1999 Journal:   IEEE Transactions on Circuits and Systems for Video Technology Vol: 9 (1)Pages: 70-84   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Long-term memory motion-compensated prediction extends the spatial displacement vector utilized in block-based hybrid video coding by a variable time delay permitting the use of more frames than the previously decoded one for motion compensated prediction. The long-term memory covers several seconds of decoded frames at the encoder and decoder. The use of multiple frames for motion compensation in most cases provides significantly improved prediction gain. The variable time delay has to be transmitted as side information requiring an additional bit rate which may be prohibitive when the size of the long-term memory becomes too large. Therefore, me control the bit rate of the motion information by employing rate constrained motion estimation. Simulation results are obtained by integrating long-term memory prediction into an H.263 codec. Reconstruction PSNR improvements up to 2 dB for the Foreman sequence and 1.5 dB for the Mother-Daughter sequence are demonstrated in comparison to the TMN-2.0 H.263 coder. The PSNR improvements correspond to bit-rate savings up to 34 and 30%, respectively. Mathematical inequalities are used to speed up motion estimation while achieving full prediction gain.

Keywords:
Motion estimation Codec Quarter-pixel motion Computer science Motion compensation Encoder Motion vector Inter frame Block-matching algorithm Data compression Decoding methods Algorithm Encoding (memory) Reference frame Artificial intelligence Frame (networking) Telecommunications Video processing

Metrics

285
Cited By
11.43
FWCI (Field Weighted Citation Impact)
30
Refs
0.99
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Video Coding and Compression Technologies
Physical Sciences →  Computer Science →  Signal Processing
Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Vision and Imaging
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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