4. The video annotation method of claim 3 , wherein said performing said predicting stage further comprises: selecting a second critical frame from said second frames of said second shot; respectively extracting low-level features of said second critical frame, thereby obtaining a plurality of second feature vectors; performing said grouping step on said second feature vectors in accordance with a statistic distance algorithm, and corresponding said second feature vectors to said identification codes respectively; removing said identification codes repeated in said second scene; sorting said identification codes in said second scene; finding the entire frequent patterns of shot groups in said second scene in accordance with said association rules algorithm, thereby obtaining a plurality of second association rules, wherein the final item in each of said second association rules only has one single identification code; and inputting said second association rules into said association model, thereby obtaining said keyword associative probability list used for indicating the respective appearing probabilities of said fundamental words corresponding to said second associative rules regarding said second shot.
4. The video annotation method of claim 3 , wherein said performing said predicting stage further comprises: selecting a second critical frame from said second frames of said second shot; respectively extracting low-level features of said second critical frame, thereby obtaining a plurality of second feature vectors; performing said grouping step on said second feature vectors in accordance with a statistic distance algorithm, and corresponding said second feature vectors to said identification codes respectively; removing said identification codes repeated in said second scene; sorting said identification codes in said second scene; finding the entire frequent patterns of shot groups in said second scene in accordance with said association rules algorithm, thereby obtaining a plurality of second association rules, wherein the final item in each of said second association rules only has one single identification code; and inputting said second association rules into said association model, thereby obtaining said keyword associative probability list used for indicating the respective appearing probabilities of said fundamental words corresponding to said second associative rules regarding said second shot. 5. The video annotation method of claim 4 , wherein said statistic distance algorithm is a Euclidean Distance method.