2015 Fiscal Year Final Research Report
Research on Automatic Digest Generation for Comic Retrieval
Project/Area Number |
25330137
|
Research Category |
Grant-in-Aid for Scientific Research (C)
|
Allocation Type | Multi-year Fund |
Section | 一般 |
Research Field |
Multimedia database
|
Research Institution | Waseda University |
Principal Investigator |
|
Co-Investigator(Kenkyū-buntansha) |
ISHI Daisuke 早稲田大学, 理工学術院, 助手 (40581525)
|
Project Period (FY) |
2013-04-01 – 2016-03-31
|
Keywords | マンガ / 顔画像検出 / 機械学習 / 自動要約 / キャラクター抽出 / HOG特徴量 / Deformable Part Model / ロールコミュニティー |
Outline of Final Research Achievements |
It is important to extract metadata contained in comics for realizing automatic digest generation system. The most important metadata is comic characters. In this research, we focused on the improvement of comic character extraction. Through experiments, we showed that Deformable Part Model (DPM), which is based on HOG features, is effective for extraction. We also studied on main character identification without prior knowledge by clustering. By this approach, positive and negative samples can be fed into DPM. Further, "Role Community Model", which is the method to identify the weight of each page by counting locations of character's appearance and their relations, can be used to realize automatic comic digest.
|
Free Research Field |
マルチメディア
|