In the design of action recognition models, the quality of videos in the
dataset is an important issue, however the trade-off between the quality and
performance is often ignored. In general, action recognition models are trained
and tested on high-quality videos, but in actual situations where action
recognition models are deployed, sometimes it might not be assumed that the
input videos are of high quality. In this study, we report qualitative
evaluations of action recognition models for the quality degradation associated
with transcoding by JPEG and H.264/AVC. Experimental results are shown for
evaluating the performance of pre-trained models on the transcoded validation
videos of Kinetics400. The models are also trained on the transcoded training
videos. From these results, we quantitatively show the degree of degradation of
the model performance with respect to the degradation of the video quality.Comment: 10 page