TextFinder: An Automatic System to Detect and Recognize Text In Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
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International Journal of Computer Vision
An algorithm for extracting text strings from comic strips
ACM SIGGRAPH 2006 Research posters
Layout analysis of tree-structured scene frames in comic images
IJCAI'07 Proceedings of the 20th international joint conference on Artifical intelligence
Method for Automatic E-Comic Scene Frame Extraction for Reading Comic on Mobile Devices
ITNG '10 Proceedings of the 2010 Seventh International Conference on Information Technology: New Generations
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This research proposes a novel method to present "thumbnails" of episodes of digitized comics, in order to improve the efficiency of comic search. Comic episode thumbnails are generated based on image analysis technologies developed especially for comic images. Namely, the following procedures are developed for our system: automatic comic frame segmentation, text balloon extraction, and a linear regression based model to calculate the importance score of each extracted frame. The system then selects frames from each episode with high importance score, and aligns the selected frames to create the episode thumbnail, which is presented to the system user as a compact preview of the episode. User experiments conducted with actual Japanese comic images prove that the proposed method significantly decreases the time necessary to search for specific episodes from a large scaled comic data collection.