Automatic text recognition for video indexing
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
Improvement of Video Text Recognition by Character Selection
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
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Video scene retrieval methods based on telop characters can retrieve the corresponding scenes to the query from the huge video data. In this paper, a new video scene retrieval method based on telop characters is proposed. In order to specify the suitable scene, this method recognises the only corresponding telop characters to the query keyword, not all the characters. This method calculates the distance between each image features of telop characters and template image features of query keyword. The number of distance calculations can decrease by indexing the multi-dimensional data for image features of telop characters. Experimental results, using 91 query keywords, show that the average precision of the proposed method using the 1-gram feature becomes 98.61% and using the 2-gram feature becomes 99.59%. Moreover, the retrieval time can be obtained in about 0.5 sec when using the 2-gram feature.