Classification of Degradation Types Based on Distribution of Blocky Blocks for IP‐Based Video Services

In this letter, we propose a new quality measurement method to identify the causes of video quality degradation for IP‐based video services. This degradation mainly results from network performance issues and video compression. The proposed algorithm identifies the causes based on statistical feature values from blocky block distribution in degraded IP‐based videos. We found that the sensitivity and specificity of the proposed algorithm are 93.63% and 91.99%, respectively, in comparison with real error types and subjective test data.