  The paper deals with Video Coding for Machines that is a new paradigm in
video coding related to consumption of decoded video by humans and machines.
For such tasks, joint transmission of compressed video and features is
considered. In this paper, we focus our considerations of features on SIFT
keypoints. They can be extracted from the decoded video with losses in number
of keypoints and their parameters as compared to the SIFT keypoints extracted
from the original video. Such losses are studied for HEVC and VVC as functions
of the quantization parameter and the bitrate. In the paper, we propose to
transmit the residual feature data together with the compressed video.
Therefore, even for strongly compressed video, the transmission of whole all
SIFT keypoint information is avoided.
