Knowledge-Based Numeric Open Caption Recognition for Live Sportscast
نویسندگان
چکیده
Knowledge-based numeric open caption recognition is proposed that can recognize numeric captions generated by character generator (CG) and automatically superimpose a modified caption using the recognized text only when a valid numeric caption appears in the aimed specific region of a live sportscast scene produced by other broadcasting stations. In the proposed method, mesh features are extracted from an enhanced binary image as feature vectors, then a valuable information is recovered from a numeric image by perceiving the character using a multiplayer perceptron (MLP) network. The result is verified using knowledge-based rule set designed for a more stable and reliable output and then the modified information is displayed on a screen by CG. MLB EyeCaption based on the proposed algorithm has already been used for regular Major League Baseball (MLB) programs broadcast live over a Korean nationwide TV network and has produced a favorable response from Korean viewers.
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