Paper
22 March 1996 Optimal motion vector accuracy for block-based motion-compensated video coders
Jordi Ribas-Corbera, David L. Neuhoff
Author Affiliations +
Proceedings Volume 2668, Digital Video Compression: Algorithms and Technologies 1996; (1996) https://doi.org/10.1117/12.235425
Event: Electronic Imaging: Science and Technology, 1996, San Jose, CA, United States
Abstract
In block-based motion-compensated video coding, a fixed-resolution motion field with one motion vector per image block is used to improve the prediction of the frame to be coded. All motion vectors are encoded with the same fixed accuracy, typically 1 or 1/2 pixel accuracy. In this work, we explore the benefits of encoding the motion vectors with other accuracies, and of encoding different motion vectors with different accuracies within the same frame. To do this, we analytically model the effect of motion vector accuracy and derive expressions for the encoding rates for both motion vectors and difference frames, in terms of the accuracies. Minimizing these expressions leads to simple formulas that indicate how accurately to encode the motion vectors in a classical block-based motion-compensated video coder. These formulas also show that the motion vectors must be encoded more accurately where more texture is present, and less accurately when there is much interframe noise. We implement video coders based on our analysis and present experimental results on real video frames. These results suggest that our equations are accurate, and that significant bit rate savings can be achieved when our optimal motion vector accuracies are used.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jordi Ribas-Corbera and David L. Neuhoff "Optimal motion vector accuracy for block-based motion-compensated video coders", Proc. SPIE 2668, Digital Video Compression: Algorithms and Technologies 1996, (22 March 1996); https://doi.org/10.1117/12.235425
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CITATIONS
Cited by 15 scholarly publications and 65 patents.
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KEYWORDS
Video

Computer programming

Distortion

Video coding

Quantization

Motion analysis

Motion estimation

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