Results from the experiments running 11 algorithms:
I developed 11 different algorithms for perceptually hashing video that incorporate LLE. I performed the experiments on 250 videos from the Moments in Time  video dataset. Figure 1 shows an accuracy graph of the 11 different LLE based hashing algorithms. The version that incorporates both Discrete Cosine Transform (DCT) and LLE performed with the highest accuracy. Currently these algorithms do not yet perform as well as pHash on the same video dataset. I believe that using LLE to extract the information from DCT is a novel approach to video hashing.
[1[ Monfort, M., Zhou, B., Bargal, S. A., Yan, T., Andonian, A., Ramakrishnan, K., Oliva, A. (2018). Moments in Time Dataset: one million videos for event understanding. ArXiv:1801.03150v1.