Title :
Knowledge-based numeric open caption recognition for live sportscast
Author :
Sung, Si-Hun ; Chun, Woo-Sung
Author_Institution :
Tech. Res. Center, Munwha Broadcasting Corp., Seoul, South Korea
Abstract :
Knowledge-based numeric open caption recognition is proposed that can recognize numeric captions generated by a 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 valuable information is recovered from a numeric image by perceiving the character using a multilayer perceptron (MLP) network. The result is verified using a 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.
Keywords :
feature extraction; image classification; image enhancement; knowledge based systems; multilayer perceptrons; optical character recognition; sport; television broadcasting; video signal processing; Korean nationwide TV network; Korean viewers; MLB EyeCaption; Major League Baseball programs; aimed specific region; character generator; enhanced binary image; feature vectors; knowledge-based numeric open caption recognition; knowledge-based rule set; live sportscast; live sportscast scene; mesh feature extraction; modified caption; multilayer perceptron network; recognized text; watching region; Broadcasting; Character generation; Character recognition; Data mining; Image converters; Image enhancement; Layout; Optical character recognition software; TV; Text recognition;
Conference_Titel :
Pattern Recognition, 2002. Proceedings. 16th International Conference on
Print_ISBN :
0-7695-1695-X
DOI :
10.1109/ICPR.2002.1048429