As digital devices which are capable of viewing contents easily such as mobile phones and tablet PCs have become widespread, publications are being digitized rapidly and the market for digital publications is growing up. However, digital publications are illegally distributed in the form of digital images. It is necessary to identify each digital image for protecting the copyrights of digital publications. We can detect the copyright infringement using publication identification algorithm after applying publication classification. In this paper, we suggest the publication classification method for mainly 4 types such as text, cartoon, webtoon, and regular picture. We use 2-layered CNN for publication classification using histogram images, which are extracted by NSS(Natural Scene Statistics), which usually is used for figuring out distortion in a natural image. We expect that our proposed method will be useful for protecting copyrights of publications.
|Title of host publication||Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 Feb 5|
|Event||9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017 - Kuala Lumpur, Malaysia|
Duration: 2017 Dec 12 → 2017 Dec 15
|Name||Proceedings - 9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017|
|Other||9th Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, APSIPA ASC 2017|
|Period||17/12/12 → 17/12/15|
Bibliographical noteFunding Information:
ACKNOWLEDGMENT This research project was supported by Ministry of Culture, Sports and Tourism(MCST) and from Korea Copyright Commission in 2016.
© 2017 IEEE.
All Science Journal Classification (ASJC) codes
- Artificial Intelligence
- Human-Computer Interaction
- Information Systems
- Signal Processing