TY - GEN
T1 - Energy Reduction Opportunities in HDR Video Encoding
AU - Herglotz, Christian
AU - Moan, Steven Le
AU - Mercat, Alexandre
PY - 2024
Y1 - 2024
N2 - This paper investigates the energy consumption of video encoding for high dynamic range videos. Specifically, we compare the energy consumption of the compression process using 10 -bit input sequences, a tone-mapped 8 -bit input sequence at 10 -bit internal bit depth, and encoding an 8 -bit input sequence using an encoder with an internal bit depth of 8 bit. We find that linear scaling of the luminance and chrominance values leads to degradations of the visual quality, but that significant encoding complexity and thus encoding energy can be saved. An important reason for this is the availability of vector instructions, which are not available for the 10-bit encoder. Furthermore, we find that at sufficiently low target bitrates, the compression efficiency at an internal bit depth of 8 bit exceeds the compression efficiency of regular 10-bit encoding.
AB - This paper investigates the energy consumption of video encoding for high dynamic range videos. Specifically, we compare the energy consumption of the compression process using 10 -bit input sequences, a tone-mapped 8 -bit input sequence at 10 -bit internal bit depth, and encoding an 8 -bit input sequence using an encoder with an internal bit depth of 8 bit. We find that linear scaling of the luminance and chrominance values leads to degradations of the visual quality, but that significant encoding complexity and thus encoding energy can be saved. An important reason for this is the availability of vector instructions, which are not available for the 10-bit encoder. Furthermore, we find that at sufficiently low target bitrates, the compression efficiency at an internal bit depth of 8 bit exceeds the compression efficiency of regular 10-bit encoding.
U2 - 10.1109/ICIP51287.2024.10647527
DO - 10.1109/ICIP51287.2024.10647527
M3 - Conference contribution
T3 - Proceedings - IEEE International Conference on Image Processing
SP - 3654
EP - 3660
BT - 2024 IEEE International Conference on Image Processing (ICIP)
PB - IEEE
T2 - IEEE International Conference on Image Processing
Y2 - 27 October 2024 through 30 October 2024
ER -