抄録
Content-aware image resizing (CAIR) is desired because it preserves prominent regions in a resized image. However, CAIR requires high computational complexity to perform in mobile devices, though it is desired for these displays. Moreover, transmitting the side information for CAIR from the encoder is a problem since it usually requires high bitrates compared with those for image data. In this paper, we present a rate-dependent CAIR method that produce various retargeting results based on the bitrates for side information. Furthermore, we apply the proposed technique to wavelet-based image coding. Our proposed content-aware image coding method provides good performances for both CAIR and image coding.
| 本文言語 | English |
|---|---|
| 論文番号 | e1 |
| ジャーナル | APSIPA Transactions on Signal and Information Processing |
| 巻 | 2 |
| DOI | |
| 出版ステータス | Published - 2013 1月 |
ASJC Scopus subject areas
- 信号処理
- 情報システム
フィンガープリント
「Rate-dependent seam carving and its application to content-aware image coding」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。引用スタイル
- APA
- Standard
- Harvard
- Vancouver
- Author
- BIBTEX
- RIS
In: APSIPA Transactions on Signal and Information Processing, Vol. 2, e1, 01.2013.
研究成果: Review article › 査読
}
TY - JOUR
T1 - Rate-dependent seam carving and its application to content-aware image coding
AU - Tanaka, Yuichi
AU - Yoshida, Taichi
AU - Hasegawa, Madoka
AU - Kato, Shigeo
AU - Ikehara, Masaaki
N1 - Funding Information: Tanaka Yuichi 1 2 Yuichi Tanaka received B.E., M.E. and Ph.D. degrees in Electrical Engineering from Keio University, Yokohama, Japan, in 2003, 2005, and 2007, respectively. He was a Postdoctoral Scholar at Keio University, Yokohama, Japan, from 2007 to 2008 supported by the Japan Society for the Promotion of Science (JSPS). From 2006 to 2008, he was also a visiting scholar at the University of California, San Diego (Video Processing Group supervised by Prof. T. Q. Nguyen). From 2008 to 2012, he was an Assistant Professor in the Department of Information Science, Utsunomiya University, Tochigi, Japan. Since 2012, he has been an Associate Professor in Graduate School of BASE, Tokyo University of Agriculture and Technology, Koganei, Japan. He is a recipient of Yasujiro Niwa Outstanding Paper Award in 2010, and also TELECOM System Technology Award in 2011. His current research interests are in the field of multidimensional signal processing which includes: image and video coding with computer vision techniques, distributed video coding, objective quality metric, and effective time–frequency transform design. Yoshida Taichi 3 Taichi Yoshida received the B.E. and M.E.degrees in Electrical Engineering from Keio University, Yokohama, Japan, in 2006 and 2008, respectively. He is currently a Ph.D. candidate at Keio University, Yokohama, Japan, under the supervision of Prof. Masaaki Ikehara. His research interests are in the field of filter bank design and its image coding application. Hasegawa Madoka 1 Madoka Hasegawa received the Ph.D. in Engineering from Utsunomiya University, Japan in 1999. She is an Associate Professor at the Graduate School of Engineering, Utsunomiya University. Her current research interests include image coding, image processing, digital watermark, and graphical passwords. She is a member of IEICE (the Institute of Electronics Information and Communication Engineers) and IEEE. Kato Shigeo 1 Shigeo Kato received the B.S. in Engineering from Hokkaido University and Ph.D. in Engineering from Tokyo University, Japan, in 1972 and 1989, respectively. He is a Professor at the Graduate School of Engineering, Utsunomiya University. His current research interests include image coding, image processing, informaton theory, and digital watermark. He is a member of IEICE (the Institute of Electronics Information and Communication Engineers), IIEEJ (the Institute of Image Electronics Engineers of Japan), and IEEE. He is a fellow of IIEEJ. Ikehara Masaaki 3 Masaaki Ikehara received the B.E., M.E. and Dr. Eng. degrees in Electrical Engineering from Keio University, Yokohama, Japan, in 1984, 1986, and 1989, respectively. He was Appointed Lecturer at Nagasaki University, Nagasaki, Japan, from 1989 to 1992. In 1992, he joined the Faculty of Engineering, Keio University. From 1996 to 1998, he was a visiting researcher at the University of Wisconsin, Madison, and Boston University, Boston, MA. He is currently a Full Professor with the Department of Electronics and Electrical Engineering, Keio University. His research interests are in the areas of multirate signal processing, wavelet image coding, and filter design problems. 1 Graduate School of Engineering, Utsunomiya University , Utsunomiya, Tochigi 321-8585 , Japan 2 Graduate School of BASE, Tokyo University of Agriculture and Technology , Koganei, Tokyo 184-8588 , Japan 3 Department of Electronics and Electrical Engineering , Keio University , Yokohama, Kanagawa 223-8522 , Japan Y. Tanaka email: ytnk@cc.tuat.ac.jp 2013 2 e1 13 03 2012 15 01 2013 Copyright © The Authors, 2013. The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike license . The written permission of Cambridge University Press must be obtained for commercial re-use. 2013 The Authors The online version of this article is published within an Open Access environment subject to the conditions of the Creative Commons Attribution-NonCommercial-ShareAlike license . The written permission of Cambridge University Press must be obtained for commercial re-use. Content-aware image resizing (CAIR) is desired because it preserves prominent regions in a resized image. However, CAIR requires high computational complexity to perform in mobile devices, though it is desired for these displays. Moreover, transmitting the side information for CAIR from the encoder is a problem since it usually requires high bitrates compared with those for image data. In this paper, we present a rate-dependent CAIR method that produce various retargeting results based on the bitrates for side information. Furthermore, we apply the proposed technique to wavelet-based image coding. Our proposed content-aware image coding method provides good performances for both CAIR and image coding.
PY - 2013/1
Y1 - 2013/1
N2 - Content-aware image resizing (CAIR) is desired because it preserves prominent regions in a resized image. However, CAIR requires high computational complexity to perform in mobile devices, though it is desired for these displays. Moreover, transmitting the side information for CAIR from the encoder is a problem since it usually requires high bitrates compared with those for image data. In this paper, we present a rate-dependent CAIR method that produce various retargeting results based on the bitrates for side information. Furthermore, we apply the proposed technique to wavelet-based image coding. Our proposed content-aware image coding method provides good performances for both CAIR and image coding.
AB - Content-aware image resizing (CAIR) is desired because it preserves prominent regions in a resized image. However, CAIR requires high computational complexity to perform in mobile devices, though it is desired for these displays. Moreover, transmitting the side information for CAIR from the encoder is a problem since it usually requires high bitrates compared with those for image data. In this paper, we present a rate-dependent CAIR method that produce various retargeting results based on the bitrates for side information. Furthermore, we apply the proposed technique to wavelet-based image coding. Our proposed content-aware image coding method provides good performances for both CAIR and image coding.
KW - Content-aware image coding
KW - Content-aware image resizing
KW - Image coding
KW - Image retargeting
KW - SPIHT
KW - Wavelet
UR - http://www.scopus.com/inward/record.url?scp=84906853521&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84906853521&partnerID=8YFLogxK
U2 - 10.1017/ATSIP.2013.3
DO - 10.1017/ATSIP.2013.3
M3 - Review article
AN - SCOPUS:84906853521
SN - 2048-7703
VL - 2
JO - APSIPA Transactions on Signal and Information Processing
JF - APSIPA Transactions on Signal and Information Processing
M1 - e1
ER -