As the Quality of Experience of video streaming can be greatly affected by parameters such as jitter, throughput, packet loss and delay, it is of great importance to assess the consequences low Quality of Service. Video artifacts are errors that can be displayed when multimedia streaming faces transmission difficulties. Blocking, ringing, motion compensation mismatch or false borders are some of the different types of artifacts that can decrease video quality. In this paper, we perform an evaluation of video artifacts in order to determine the parameters that are related to their manifestation. We have also employed objective metrics of Quality of Experience in order to assess the impact of video artifacts on the overall quality. Results show that it is possible to relate available bandwidth, packet loss and jitter to several video artifacts. Where blocking depends on a high number of lost packets, mosaic pattern artifacts are related to a lower quantity of lost packets. In view of the obtained results, we propose a video artifact evaluating solution that utilizes said results for training.