1. A non-transitory computer-readable storage medium storing instructions that, when executed by a processor, cause a computing device to: generate, for a first version of a video file, a first version fingerprint for each frame of the first version; generate, for a second version of the video file, a second version fingerprint for each frame of the second version of the video file, wherein generating a fingerprint from a frame of the first version and the second version of the video file includes: segmenting the frame into a plurality of cells; computing an average intensity value for each cell; and comparing, for at least a subset of the plurality of cells, the average intensity value for a first cell against each other cell of the subset to compute the fingerprint; generate a first run-length encoded representation of first version fingerprints for the first version of the video file; generate a second run-length encoded representation of second version fingerprints for the second version of the video file; identify a first set of unique fingerprints of the first version from the first run-length encoded representation; identify a second set of unique fingerprints of the second version from the second run-length encoded representation; determine a set of split points for the first version and the second version of the video file, wherein determining the split points includes: comparing the first set of unique fingerprints to the second set of unique fingerprints to identify a plurality of matching unique fingerprints; sorting the matching unique fingerprints by time; and filtering the matching unique fingerprints using a Longest Common Subsequences (LCS) algorithm to determine the set of split points; segment the first version of the video file into a plurality of first version segments using the set of split points; segment the second version of the video file into a plurality of second version using the set of split points; determine, using Gotoh's sequence alignment algorithm, individual frame correspondences between each first version segment of the plurality of first version segments and a corresponding second version segment of the plurality of second version segments; and concatenate the plurality of first version segments and the plurality of second version segments based at least in part on the individual frame correspondences to generate a global alignment comparison output.