I really like the problem that this paper presents and the results (particularly the actual videos online). Unfortunately, I had a tough time understanding the algorithm that was used as I am only a mere mathematical mortal. I really wished the paper had given a better introduction and overview of the algorithm presented so that people without the vision background and mathematical adeptness could have gotten an intuitive understanding of how the algorithm worked.

I would have liked to have seen a more complete experimental section. I liked how they showed how their model could "cluster" related image sequences. I think exploring this in more detail over more samples would have been interesting.

To me, the compression information seemed to be a bit out of place. First, I think they either should have addressed that aspect as a single paper, or at least flushed the idea out a bit more. In looking at the results, I don't necessarily know if this type of system would be optimal for compression since the image sequences that are produced are a bit different from those that are trained on.

One last quick question, what does an equal sign with a dot over it stand for?