Lin C.-HLu Y.-SJIAN-JIUN DING2022-04-252022-04-252021https://www.scopus.com/inward/record.uri?eid=2-s2.0-85124122653&doi=10.1109%2fISPACS51563.2021.9651037&partnerID=40&md5=3fc4ee559ed96a86973a1bf427776bbfhttps://scholars.lib.ntu.edu.tw/handle/123456789/607202In 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.Adaptive arithmetic codingContext modelingEntropy codingMotion vector encodingEncoding (symbols)EntropySignal encodingVectorsAdjusting methodCoding methodsContext modelsFrequency TablesMotion VectorsRaster scanningVectors encodingImage compression[SDGs]SDG7conference paper10.1109/ISPACS51563.2021.96510372-s2.0-85124122653