This paper presents an algorithm for reading digital video clocks by using two phases of connected deep networks to avoid the demerits of existing heuristic algorithms. The problem of reading digital video clocks can divided into two phases: locating the clock area and reading the clock digits. First, a phase of connected deep networks is a chain of neural networks to localize the clock area. Each of these neural networks takes use the properties of the working digital video clocks to work on one task. Its key step is to localize the place of second place by using the constancy and the periodi...
