TY - GEN A1 - Eichermüller, Lena A1 - Chaudhari, Gaurang A1 - Katsavounidis, Ioannis A1 - Lei, Zhijun A1 - Tmar, Hassene A1 - Herglotz, Christian A1 - Kaup, André T1 - SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information T2 - 32nd European Signal Processing Conference (EUSIPCO) N2 - Enabling high compression efficiency while keeping encoding energy consumption at a low level, requires prioritization of which videos need more sophisticated encoding techniques. However, the effects vary highly based on the content, and information on how good a video can be compressed is required. This can be measured by estimating the encoded bitstream size prior to encoding. We identified the errors between estimated motion vectors from Motion Search, an algorithm that predicts temporal changes in videos, correlates well to the encoded bitstream size. Combining Motion Search with Random Forests, the encoding bitrate can be estimated with a Pearson correlation of above 0.96. KW - Bit rate KW - Estimation KW - Signal processing algorithms KW - Signal processing KW - Feature extraction KW - Size measurement KW - Encoding KW - Vectors KW - Random forests KW - Videos Y1 - 2024 SN - 978-9-4645-9361-7 SN - 979-8-3315-1977-3 SN - 2076-1465 SN - 2219-5491 SP - 937 EP - 941 PB - IEEE ER -