Based on this analysis, in the proposed method (see Fig. 2), the SSIM index is used as a tool to extract features from both the original and the target video sequences using a reference video pattern. In this respect, an initial value is evaluated for every frame at the service provider site, by comparing the with a video reference pattern (), e.g., a video sequence of white video frames of the same resolution and frame rate, which is artificially generated [later in this section, the authors test the primary colors (i.e., white, black, red, green, and blue) as reference video patterns and it is shown that the white video pattern performs better than the others]. The evaluation of can be based on any software implementation of Eq. (1), where is and is and refers to each frame. can be considered as a feature of each frame of the original video and is sent to the end-user site by any means, i.e., either through the same communication channel as the video, or any other communication channel with a sufficient bandwidth, or by embedding it inside the transport stream of the video sequence. In any case, it is considered that the value is recovered at the end-user site.