Network-based content identification system via content-based comics fingerprint

Recently, the comic contents are widely spread due to the development of mobile devices and network-based distribution. Large-scale data of contents increases the work load of network, so that it is necessary to manage effectively these contents distribution via content identifiers. However, the illegal channels such as online storage service provide the comics without the identifier. In addition, these comics would violate the copyright. To prevent the copyright violation, the comic identification is very important. However, the comic identification is the beginning stage. Thus, we propose a novel content-based fingerprint for comic content. To reduce work load of network, the fingerprint are extracted in consumer´s device with low computational complexity. The proposed method shows the reliable performance with the robustness and the efficiency for distorted comics identification.