Advanced Context-Modeling and Frequency Table Adjusting Methods for Motion Vector Encoding
Journal
ISPACS 2021 - International Symposium on Intelligent Signal Processing and Communication Systems: 5G Dream to Reality, Proceeding
Date Issued
2021
Author(s)
Abstract
In this paper, an advanced entropy coding method for motion vector (MV) encoding in video compression is proposed. By observing the features of motion vectors and utilizing the correlation among frames, we proposed five techniques to improve the efficiency of MV encoding, including alternative raster scanning, context modeling according to the probability of zeros of adjacent pixels and frames, varied reference distances for different frames, the initial frequency table, and symmetric frequency table updating. Experiments show that, compared to the frequently used exp-Golomb coding, the proposed method can achieve 25% of bitrate reduction and is very effective for MV encoding. ? 2021 IEEE.
Subjects
Adaptive arithmetic coding
Context modeling
Entropy coding
Motion vector encoding
Encoding (symbols)
Entropy
Signal encoding
Vectors
Adjusting method
Coding methods
Context models
Frequency Tables
Motion Vectors
Raster scanning
Vectors encoding
Image compression
SDGs
Type
conference paper