Artificial Intelligence for Art Creation and Understanding: Multimedia Computing, Communication and Intelligence
Editat de Luntian Mouen Limba Engleză Hardback – 29 aug 2024
This book aims to present the state-of-the-art AI technologies for art creation, understanding, and evaluation. The contents include a survey on cross-modal generation of visual and auditory content, explainable AI and music, AI-enabled robotic theater for Chinese folk art, AI for ancient Chinese music restoration and reproduction, AI for brainwave opera, artistic text style transfer, data-driven automatic choreography, Human-AI collaborative sketching, personalized music recommendation and generation based on emotion and memory (MemoMusic), understanding music and emotion from the brain, music question answering, emotional quality evaluation for generated music, and AI for image aesthetic evaluation.
The key features of the book are as follows:
- AI for Art is a fascinating cross-disciplinary field for the academic community as well as the public.
- Each chapter is an independent interesting topic, which provides an entry for corresponding readers.
- It presents SOTA AI technologies for art creation and understanding.
- The artistry and appreciation of the book is wide-ranging – for example, the combination of AI with traditional Chinese art.
Preț: 831.11 lei
Preț vechi: 1038.88 lei
-20% Nou
Puncte Express: 1247
Preț estimativ în valută:
159.11€ • 166.01$ • 133.37£
159.11€ • 166.01$ • 133.37£
Carte tipărită la comandă
Livrare economică 12-26 martie
Preluare comenzi: 021 569.72.76
Specificații
ISBN-13: 9781032523606
ISBN-10: 1032523603
Pagini: 361
Ilustrații: 326
Dimensiuni: 156 x 234 mm
Greutate: 0.83 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Multimedia Computing, Communication and Intelligence
Locul publicării:Boca Raton, United States
ISBN-10: 1032523603
Pagini: 361
Ilustrații: 326
Dimensiuni: 156 x 234 mm
Greutate: 0.83 kg
Ediția:1
Editura: CRC Press
Colecția CRC Press
Seria Multimedia Computing, Communication and Intelligence
Locul publicării:Boca Raton, United States
Public țintă
Academic, Postgraduate, Professional Reference, and Undergraduate AdvancedNotă biografică
Luntian Mou received the Ph.D. degree in computer science from the University of Chinese Academy of Sciences, China in 2012. He accomplished as a postdoctoral Researcher with the Institute of Digital Media, Peking University, China in 2014. From 2019 to 2020, he served as a visiting scholar at Donald Bren School of Information and Computer Sciences, University of California, Irvine, USA. He is currently an associate professor with the Beijing Institute of Artificial Intelligence, Beijing University of Technology, China. His research interests include artificial intelligence, machine learning, pattern recognition, affective computing, multimedia computing, and brain-like computing. He has published on renowned journals such as TAFFC, TMM, TOMM, and ESWA. He is the recipient of Beijing Municipal Science and Technology Advancement Award, IEEE Outstanding Contribution to Standardization Award, and AVS Outstanding Contribution on 15th Anniversary Award. He serves as a guest editor for Machine Intelligence Research, and a reviewer for many important international journals and conferences such as TIP, TAFFC, TCSVT, TITS, AAAI, etc. He is a senior member of IEEE and CCF, and a member of ACM. He is the chair of the organizing committee of the 2023 CSIG Conference on Emotional Intelligence (CEI). He is the founding chair of IEEE Workshop on Artificial Intelligence for Art Creation (AIART).
Cuprins
1. Explainable AI and Music, 2. AI-Enabled Robotic Theaters for Chinese Folk Art, 3. AIBO: Or How to Make a ‘Sicko’ Brainwave Opera, 4. Cross-Modal Generation of Visual and Auditory Content: A Survey, 5. Artistic Text Style Transfer, 6. Data-Driven Automatic Choreography, 7. Toward Human-AI Collaborative Sketching, 8. MemoMusic: A Personalized Music Recommendation and Generation Framework Based on Emotion and Memory, 9. Algorithmic Composition Techniques for Ancient Chinese Music Restoration and Reproduction: A Melody Generator Approach, 10. Understanding Music and Emotion from the Brain, 11. Music Question Answering: Cognize and Perceive Music, 12. Emotional Quality Evaluation for Generated Music, 13. A Deep Drift-Diffusion Model for Image Aesthetic Score Distribution Prediction
Descriere
This book covers state-of-the-art AI technologies for art creation, understanding, and evaluation. Each chapter providing an entry point for readers, presenting SOTA AI technologies for art creation and understanding and covering the fascinating combination of AI with traditional Chinese art.