- Email: [email protected]
2017 JVCI Best Paper Award Winners
J. Vis. Commun. Image R. 48 (2017) iii–iv
Contents lists available at ScienceDirect
J. Vis. Commun. Image R. journal homepage: www.elsevier.com/locate/jvci
Publisher’s Note
2017 JVCI Best Paper Award Winners Announced Gail M. Rodney Publisher, Multimedia, Elsevier, 230 Park Avenue, Suite 800, New York, New York 10169, USA
In 2015, the Journal of Visual Communication and Image Representation (JVCI) established its annual best paper award to recognize articles published in the journal that have contributed significantly to the field. Each author of the winning paper receives a certificate and the prize money is shared between them in the case of multiple authors. Effective 2017, the best paper receives $1,000 USD and the honorable mention paper receives $500 USD. The 2017 JVCI Best Paper Award Committee assessed the papers in a three-stage process of nomination, critical evaluation, and voting. The selection process is as follows: Each Editorial Board Member nominates up to three articles published in the past two years as the candidates. To ensure fairness, no Editorial Board Member is permitted to nominate his or her own publications. The Best Paper Award Committee Members check all the papers published in the past two years to see if there are additional works to be nominated. If a committee member’s article is nominated, he or she is excused from the award committee due to conflict of interest and the Best Paper Award Committee Chair may invite additional award committee members. The Award Committee Chair assigns each committee member 3–5 articles. Each paper needs to be assigned to at least 3 committee members. Committee members score the papers and submit to the Chair. After aggregating all the scores, if there is an article that clearly stands out, the paper will be declared as the winner of the JVCI Best Paper Award. If there is no clear winner, an online discussion will be had to determine the winner. The committee may decide to select one or two papers for the JVCI Best Paper Award Honorable Mention.
About the authors Tiago Carvalho received a Bachelor’s degree in Computer Science from the Federal University of Juiz de Fora and the Master’s and Ph.D. degree in Computer Science from the Institute of Computing, University of Campinas, Campinas, Brazil. His main research topics include digital forensics and machine learning. He is currently an Assistant Professor at the Federal Institute of Education, Science and Technology of São Paulo, Campinas, Brazil.
Anselmo Ferreira received his Ph.D. degree in Computer Science from the Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil in 2016. Dr. Ferreira is currently a postdoctoral researcher at Key Media Laboratory of Media Security in Shenzhen University in the Guangdong province, China under the supervision of Dr. Jiwu Huang. His current research interests include deep learning approaches in digital image forensics.
Gangyi Jiang received his M.S. degree from Hangzhou University in 1992, and received his Ph.D. degree from Ajou University, Korea, in 2000. He is now a professor in Faculty of Information Science and Engineering, Ningbo University, China. He is a member of the IEEE. His research interests mainly include digital video compression and communications, multi-view video coding, etc.
On behalf of the Editor-in-Chief Zicheng Liu, the Award Committee, and Elsevier, the Publisher is pleased to announce the 2017 JVCI Best Paper Award winner is Ewerton Silva, Tiago Carvalho, Anselmo Ferreira, and Anderson Rocha. ‘‘Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes,’’ Journal of Visual Communication and Image Representation, Volume 29, pp. 16–32. The 2017 JVCI Best Paper Award Honorable Mention goes to Qiuping Jiang, Feng Shao, Gangyi Jiang, Mei Yu, Zongju Peng. ‘‘Supervised dictionary learning for blind image quality assessment using quality-constraint sparse coding,’’ Journal of Visual Communication and Image Representation, Volume 33, pp. 123–133. E-mail address: [email protected] http://dx.doi.org/10.1016/S1047-3203(17)30159-1
Qiuping Jiang received the M.Sc. degree from the School of Information Science and Engineering, Ningbo University, Ningbo, China, in June 2015, where he is currently pursuing the Ph.D. degree. Since Jan. 2017, he has been a visiting Ph.D. student with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His current research interests include visual quality assessment, visual saliency detection, and computer vision.
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Announcement / J. Vis. Commun. Image R. 48 (2017) iii–iv Zongju Peng received his B.S. degree from Sichuan Normal College, China, in 1995, an M.S. degree from Sichuan University, China, in 1998, and his Ph.D. degree from Institute of Computing Technology, Chinese Academy of Science in 2010. He is now an Associate Professor in Faculty of Information Science and Engineering, Ningbo University, China. His research interests mainly include image/video compression, multiview video coding, and video perception.
Ewerton Silva holds a bachelor’s degree in Computer Science from the Federal University of Pará and the Master’s degree in Computer Science from the Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil. He is currently a doctoral student at the Institute of Computing, University of Campinas. He is interested in the areas of computer vision, artificial intelligence, image processing, and propagation of uncertainties.
Anderson Rocha is an Associate Professor at the Institute of Computing, University of Campinas (Unicamp) since December, 2009. He is also the Director of the Reasoning for Complex Data Lab. (RECOD) at the Institute of Computing, Unicamp. He received a Bachelor’s degree in Computer Science from Federal University of Lavras (UFLA) in 2003, and the Master’s degree (2006), and Ph.D. (2009) in Computer Science from the Institute of Computing, University of Campinas. Professor Rocha worked at the same Institute as a Postdoc fellow until December 2009. His main research interests include problems related to reasoning for complex data, digital forensics, and machine intelligence.
Mei Yu received her M.S. degree from Hangzhou Institute of Electronics Engineering, China, in 1993, and the Ph.D. degree from Ajou University, Korea, in 2000. She is now a professor in Faculty of Information Science and Engineering, Ningbo University, China. Her research interests include image/video coding and video perception.
Feng Shao received his B.S. and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 2002 and 2007, respectively, all in Electronic Science and Technology. He is currently a professor in Faculty of Information Science and Engineering, Ningbo University, China. He was a visiting Fellow with the School of Computer Engineering, Nanyang Technological University, Singapore, from February 2012 to August 2012. He received the ‘‘Excellent Young Scholar’’ Award by NSF of China (NSFC) in 2016. He has published over 100 technical articles in refereed journals and proceedings in the areas of 3D video coding, 3D quality assessment, and image perception, etc.
Please join us in congratulating the authors on this great accomplishment. The Publisher wishes to give special thanks to the dedicated 2017 JVCI Best Paper Award Committee Members. Award Committee Chair Chang-Su Kim Committee Members Kuo-Liang Chung Chul Lee Shujun Li Petia Radeva Susanto Rahardja Chia-Hung Yeh
Contents lists available at ScienceDirect
J. Vis. Commun. Image R. journal homepage: www.elsevier.com/locate/jvci
Publisher’s Note
2017 JVCI Best Paper Award Winners Announced Gail M. Rodney Publisher, Multimedia, Elsevier, 230 Park Avenue, Suite 800, New York, New York 10169, USA
In 2015, the Journal of Visual Communication and Image Representation (JVCI) established its annual best paper award to recognize articles published in the journal that have contributed significantly to the field. Each author of the winning paper receives a certificate and the prize money is shared between them in the case of multiple authors. Effective 2017, the best paper receives $1,000 USD and the honorable mention paper receives $500 USD. The 2017 JVCI Best Paper Award Committee assessed the papers in a three-stage process of nomination, critical evaluation, and voting. The selection process is as follows: Each Editorial Board Member nominates up to three articles published in the past two years as the candidates. To ensure fairness, no Editorial Board Member is permitted to nominate his or her own publications. The Best Paper Award Committee Members check all the papers published in the past two years to see if there are additional works to be nominated. If a committee member’s article is nominated, he or she is excused from the award committee due to conflict of interest and the Best Paper Award Committee Chair may invite additional award committee members. The Award Committee Chair assigns each committee member 3–5 articles. Each paper needs to be assigned to at least 3 committee members. Committee members score the papers and submit to the Chair. After aggregating all the scores, if there is an article that clearly stands out, the paper will be declared as the winner of the JVCI Best Paper Award. If there is no clear winner, an online discussion will be had to determine the winner. The committee may decide to select one or two papers for the JVCI Best Paper Award Honorable Mention.
About the authors Tiago Carvalho received a Bachelor’s degree in Computer Science from the Federal University of Juiz de Fora and the Master’s and Ph.D. degree in Computer Science from the Institute of Computing, University of Campinas, Campinas, Brazil. His main research topics include digital forensics and machine learning. He is currently an Assistant Professor at the Federal Institute of Education, Science and Technology of São Paulo, Campinas, Brazil.
Anselmo Ferreira received his Ph.D. degree in Computer Science from the Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil in 2016. Dr. Ferreira is currently a postdoctoral researcher at Key Media Laboratory of Media Security in Shenzhen University in the Guangdong province, China under the supervision of Dr. Jiwu Huang. His current research interests include deep learning approaches in digital image forensics.
Gangyi Jiang received his M.S. degree from Hangzhou University in 1992, and received his Ph.D. degree from Ajou University, Korea, in 2000. He is now a professor in Faculty of Information Science and Engineering, Ningbo University, China. He is a member of the IEEE. His research interests mainly include digital video compression and communications, multi-view video coding, etc.
On behalf of the Editor-in-Chief Zicheng Liu, the Award Committee, and Elsevier, the Publisher is pleased to announce the 2017 JVCI Best Paper Award winner is Ewerton Silva, Tiago Carvalho, Anselmo Ferreira, and Anderson Rocha. ‘‘Going deeper into copy-move forgery detection: Exploring image telltales via multi-scale analysis and voting processes,’’ Journal of Visual Communication and Image Representation, Volume 29, pp. 16–32. The 2017 JVCI Best Paper Award Honorable Mention goes to Qiuping Jiang, Feng Shao, Gangyi Jiang, Mei Yu, Zongju Peng. ‘‘Supervised dictionary learning for blind image quality assessment using quality-constraint sparse coding,’’ Journal of Visual Communication and Image Representation, Volume 33, pp. 123–133. E-mail address: [email protected] http://dx.doi.org/10.1016/S1047-3203(17)30159-1
Qiuping Jiang received the M.Sc. degree from the School of Information Science and Engineering, Ningbo University, Ningbo, China, in June 2015, where he is currently pursuing the Ph.D. degree. Since Jan. 2017, he has been a visiting Ph.D. student with the School of Computer Science and Engineering, Nanyang Technological University, Singapore. His current research interests include visual quality assessment, visual saliency detection, and computer vision.
iv
Announcement / J. Vis. Commun. Image R. 48 (2017) iii–iv Zongju Peng received his B.S. degree from Sichuan Normal College, China, in 1995, an M.S. degree from Sichuan University, China, in 1998, and his Ph.D. degree from Institute of Computing Technology, Chinese Academy of Science in 2010. He is now an Associate Professor in Faculty of Information Science and Engineering, Ningbo University, China. His research interests mainly include image/video compression, multiview video coding, and video perception.
Ewerton Silva holds a bachelor’s degree in Computer Science from the Federal University of Pará and the Master’s degree in Computer Science from the Institute of Computing, University of Campinas (Unicamp), Campinas, Brazil. He is currently a doctoral student at the Institute of Computing, University of Campinas. He is interested in the areas of computer vision, artificial intelligence, image processing, and propagation of uncertainties.
Anderson Rocha is an Associate Professor at the Institute of Computing, University of Campinas (Unicamp) since December, 2009. He is also the Director of the Reasoning for Complex Data Lab. (RECOD) at the Institute of Computing, Unicamp. He received a Bachelor’s degree in Computer Science from Federal University of Lavras (UFLA) in 2003, and the Master’s degree (2006), and Ph.D. (2009) in Computer Science from the Institute of Computing, University of Campinas. Professor Rocha worked at the same Institute as a Postdoc fellow until December 2009. His main research interests include problems related to reasoning for complex data, digital forensics, and machine intelligence.
Mei Yu received her M.S. degree from Hangzhou Institute of Electronics Engineering, China, in 1993, and the Ph.D. degree from Ajou University, Korea, in 2000. She is now a professor in Faculty of Information Science and Engineering, Ningbo University, China. Her research interests include image/video coding and video perception.
Feng Shao received his B.S. and Ph.D. degrees from Zhejiang University, Hangzhou, China, in 2002 and 2007, respectively, all in Electronic Science and Technology. He is currently a professor in Faculty of Information Science and Engineering, Ningbo University, China. He was a visiting Fellow with the School of Computer Engineering, Nanyang Technological University, Singapore, from February 2012 to August 2012. He received the ‘‘Excellent Young Scholar’’ Award by NSF of China (NSFC) in 2016. He has published over 100 technical articles in refereed journals and proceedings in the areas of 3D video coding, 3D quality assessment, and image perception, etc.
Please join us in congratulating the authors on this great accomplishment. The Publisher wishes to give special thanks to the dedicated 2017 JVCI Best Paper Award Committee Members. Award Committee Chair Chang-Su Kim Committee Members Kuo-Liang Chung Chul Lee Shujun Li Petia Radeva Susanto Rahardja Chia-Hung Yeh