Hybrid Identification of Frame Areas in Manga Using Image Recognition and Microtask Crowdsourcing

Abstract

Frames are the most fundamental objects in the expression of manga. Many technologies have been developed to identify frame areas from manga graphics, however, there is no universal method that can identify frames as well as human readers can from various types of manga expressions. We propose a hybrid identification method of frames that combines image recognition with microtask crowdsourcing. This hybrid method brings together the accuracy of human readers, and the efficiency of dispersed identification tasks.