Manga FaceNet: Face detection in manga based on deep neural network

Wei Ta Chu, Wei Wei Li

Research output: Chapter in Book/Report/Conference proceedingConference contribution

20 Citations (Scopus)

Abstract

Among various elements of manga, character's face plays one of the most important role in access and retrieval. We propose a DNN-based method to do manga face detection, which is a challenging but relatively unexplored topic. Given a manga page, we first find candidate regions based on the selective search scheme. A deep neural network is then proposed to detect manga faces of various appearance. We evaluate the proposed method based on a large-scale benchmark, and show performance comparison and convincing evaluation results that have rarely done before.

Original languageEnglish
Title of host publicationICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval
PublisherAssociation for Computing Machinery, Inc
Pages412-415
Number of pages4
ISBN (Electronic)9781450347013
DOIs
Publication statusPublished - 2017 Jun 6
Event17th ACM International Conference on Multimedia Retrieval, ICMR 2017 - Bucharest, Romania
Duration: 2017 Jun 62017 Jun 9

Publication series

NameICMR 2017 - Proceedings of the 2017 ACM International Conference on Multimedia Retrieval

Conference

Conference17th ACM International Conference on Multimedia Retrieval, ICMR 2017
CountryRomania
CityBucharest
Period17-06-0617-06-09

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Software
  • Computer Graphics and Computer-Aided Design

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