The researchers in this project assumed that the exciting parts of the game would be centered around an announcer's excitement and the consequent variation in the pitch and energy of his voice. But they didn't want to focus solely on the announcer's voice, after all, he could be trying to liven up the dull bits by joking, or he might be retelling a previous exciting event in baseball history. So, the researchers also factored in the sound of a bat hitting the ball, though the crack of the bat has its drawbacks too. Sometimes the sound is hidden by the noise of the crowd or the announcer's voice. An SVM is similar to a neural network.
Neural networks attempt to function like a human brain.
Various parts of the human brain work in parallel to recognize symbols. For instance, when you look at a baseball player your brain goes through some speedy summing up to determine that it is indeed a baseball player, based on prior knowledge. The brain is simultaneously saying yes, yes, yes, no, no, yes, yes, yes to these features, and weighing the outcome to come up with an answer. Six yeses and two nos makes us pretty sure it is a baseball player, either that or a biker in a bad mood-even though we aren't aware of the weighing system. The results of automatically generating highlights were encouraging.