4. The image processing apparatus according to claim 1 , wherein the discrimination model based on said second rule is a time-series model acquired by learning a plurality of frame types as a state each; and wherein, from said newly input moving image, said extraction unit extracts the shot group including shots recognized as said highlight representative of state transition between said frame types in accordance with said time-series model.
4. The image processing apparatus according to claim 1 , wherein the discrimination model based on said second rule is a time-series model acquired by learning a plurality of frame types as a state each; and wherein, from said newly input moving image, said extraction unit extracts the shot group including shots recognized as said highlight representative of state transition between said frame types in accordance with said time-series model. 5. The image processing apparatus according to claim 4 , wherein said time-series model is a hidden Markov model known as HMM.