Automated transition classification for binge watching of content

A system for automated transition classification of media programming content, the system comprising:

• one or more processors;
• and
• a non-transient, machine-readable medium coupled with the one or more processors and having, stored thereon, instructions, which, when executed, cause the one or more processors to perform steps comprising:
• generating an input classification image by assigning each of N pixels of the input classification image to a respective frame image of N frame images extracted from a portion of media programming content, and assigning to each of the N pixels a respective pixel value indicating at least whether the respective frame image is classified as part of a classified segment of the media programming content;
• first computing M element values of an output classification array automatically as a function of running the input classification image through a multi-level convolutional conversion;
• and
• second computing a transition array automatically as a function of running the output classification array through a computational neural network trained to compute each of N element values of the transition array as a function of the M element values of the output classification array, such that the transition array indicates a temporal location at which the media programming content transitions between not being part of the classified segment and being part of the classified segment.