Artificial Intelligence (AI) has already fueled many academic fields as well as industries. In the area of art creation, AI has demonstrated its great potential and gained increasing popularity. People are greatly impressed by AI painting, composing, writing, and designing. And the emerging technology of metaverse even provides more opportunity for AI Art. AI has not only exhibited a certain degree of creativity, but also helped in uncovering the principles and mechanisms of creativity and imagination from the perspective of neuroscience, cognitive science and psychology.
This is the 4th AIART workshop to be held in conjunction with ICME 2022, which is a flagship international conference in the field of multimedia. AIART 2022 aims to bring forward cutting-edge technologies and most recent advances in the area of AI Art, which enable the creation, analysis, understanding, and rendering of art works, digitally or physically. The theme topic of AIART 2022 will be Affective computing for AI Art. And we plan to invite 5 keynote speakers to present their insightful perspectives on AI Art.
We will edit and publish a book with a title like Artificial Intelligence for Art Creation, Understanding, and Protection based mainly on the significant extension of the papers accepted by AIART 2022. The book is to appear in the Book Series of Multimedia Computing, Communication, and Intelligence published by Taylor and Francis Group.
We sincerely invite high-quality papers presenting or addressing issues related to AI Art, including but not limited to the following topics:
Authors should prepare their manuscript according to the Guide for Authors of ICME available at Author Information and Submission Instructions: http://2022.ieeeicme.org/author-info.html.
Submission address: http://2022.ieeeicme.org/author-info.html
April 9, 2022
Beijing University of Technology
Dr. Luntian Mou is an Associate Professor with Beijing Institute of Artificial Intelligence (BIAI), the Faculty of Information Technology, Beijing University of Technology. He was a Visiting Scholar with the University of California, Irvine, from 2019 to 2020. And he was a Postdoctoral Fellow at Peking University, from 2012 to 2014. He initiated the IEEE Workshop on Artificial Intelligence for Art Creation (AIART) on MIPR 2019. His current research interests include multimodal machine learning, personal health navigation, affective computing, multimedia computing, intelligent transportation, and artificial intelligence. He has a research background in multimedia security, copy detection and video fingerprinting. And he serves as a Co-Chair of System subgroup in AVS workgroup and IEEE 1857 workgroup as well. He is a Member of IEEE (SA, SPS), ACM, CCF, CAAI, CSIG, and MPEG China.
Dr. Feng Gao is an assistant professor with the School of Arts, Peking University. He has long researched in the disciplinary fields of AI and art, especially in AI painting. He co-initiated the international workshop of AIART. Currently, he is also enthusiastic in virtual human. He has demonstrated his AI painting system, called Daozi, in several workshops and drawn much attention.
Central Conservatory of Music
Dr. Zijin Li is a Professor with the Department of AI Music and Music Information Technology, Central Conservatory of Music. She was a Visting Scholar with McGill University. Her current research interests include music acoustics, music creativity, new musical instrument design and Innovation theory of music technology. She is the guest editor of Frontiers: Human-Centred Computer Audition: Sound, Music, and Healthcare and Journal of Cognitive Computation and Systems（JCCS）SI: Perception and Cognition in Music Technology. She is committee chair of New Interface Music Expressions(NIME2021), IEEE MIPR AI Art Workshop , China Sound and Music Technology Conference (CSMT), China AI Music Development Symposium, China Musical Instrument Symposium. She served as the judge of the New Music Device Invention Award of International "Danny award", International Electronic Music Competition (IEMC) and NCDA Awards.
Dr. Jiaying Liu is currently an Associate Professor with the Wangxuan Institute of Computer Technology, Peking University. She received the Ph.D. degree (Hons.) in computer science from Peking University, Beijing China, 2010. She has authored over 100 technical articles in refereed journals and proceedings, and holds 43 granted patents. Her current research interests include multimedia signal processing, compression, and computer vision. Dr. Liu is a Senior Member of IEEE, CSIG and CCF. She was a Visiting Scholar with the University of Southern California, Los Angeles, from 2007 to 2008. She was a Visiting Researcher with the Microsoft Research Asia in 2015 supported by the Star Track Young Faculties Award. She has served as a member of Membership Services Committee in IEEE Signal Processing Society, a member of Multimedia Systems & Applications Technical Committee (MSA TC), Visual Signal Processing and Communications Technical Committee (VSPC TC) in IEEE Circuits and Systems Society, a member of the Image, Video, and Multimedia (IVM) Technical Committee in APSIPA. She received the IEEE ICME 2020 Best Paper Awards and IEEE MMSP 2015 Top10% Paper Awards. She has also served as the Associate Editor of IEEE Trans. on Image Processing, and Elsevier JVCI, the Technical Program Chair of IEEE VCIP-2019/ACM ICMR-2021, the Publicity Chair of IEEE ICME-2020/ICIP-2019, and the Area Chair of CVPR-2021/ECCV-2020/ICCV-2019. She was the APSIPA Distinguished Lecturer (2016-2017).
National Chiao Tung University
Dr. Wen-Huang Cheng is a Professor with the Institute of Electronics, National Chiao Tung University (NCTU), Taiwan, where he is the Founding Director with the Artificial Intelligence and Multimedia Laboratory (AIMMLab). His current research interests include multimedia, artificial intelligence, computer vision, machine learning, social media, and financial technology. He is a co-organizer of the 2018 International Workshop on AI Aesthetics in Art and Media, in conjunction with 2018 ACCV.
Tongji University Design Artificial Intelligence Lab
Dr. Ling Fan is a scholar and entrepreneur to bridge machine intelligence with creativity. He is the founding chair and professor of Tongji University Design Artificial Intelligence Lab. Before, he held teaching position at the University of California at Berkeley and China Central Academy of Fine Arts. Dr. Fan co-founded Tezign.com, a leading technology start-up with the mission to build digital infrastructure for creative contents. Tezign is backed by top VCs like Sequoia Capital and Hearst Ventures. Dr. Fan is a World Economic Forum Young Global Leader, an Aspen Institute China Fellow, and Youth Committee member at the Future Forum. He is also a member of IEEE Global Council for Extended Intelligence. Dr. Fan received his doctoral degree from Harvard University and master's degree from Princeton University. He recently published From Universality of Computation to the Universality of Imagination, a book on how machine intelligence would influence human creativity.