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Author:   Penousal Machado ,  Colin Johnson ,  Iria Santos
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Volume:   15611
ISBN:  

9783031901669

ISBN 10:   3031901665
Pages:   436
Publication Date:   23 April 2025
Audience:   Professional and scholarly ,  College/higher education ,  Professional & Vocational ,  Postgraduate, Research & Scholarly
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.
Language:   English

Table of Contents

.- Long Talks. .- Yin-Yang: Developing Motifs With Long-Term Structure And Controllability. .- Foundations of LLCM: Labelled Lambek Calculus for Music Analysis. .- Large-image Object Detection for Fine-grained Recognition of Punches Patterns in Medieval Panel Painting. .- Cellular Au-Tonnetz: A Unified Audio-Visual MIDI Generator Using Tonnetz, Cellular Automata, and IoT. .- The Importance of Context in Image Generation: A Case Study for Video Game Sprites. .- Perceptions of AI in Animation Production. .- Search-based Negative Prompt Optimisation for Text-to-Image Generation. .- Exploring the Application of AIGC in Ink-Wash Animation Creation: A Case Study of Dragon Gate. .- AI in Music and Healthcare: A Comparative Survey. .- Combining local search and directed mutation in evolutionary approaches to 4-part harmony. .- Exploiting the Temporal Order of Sound Features for Onset Detection. .- Towards Human-Quality Drum Accompaniment Using Deep Generative Models and Transformers. .- An Ensemble Approach to Music Source Separation: A Comparative Analysis of Conventional and Hierarchical Stem Separation. .- Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration. .- Exploring Bridges Between Algorithmic and AI-generated Art. .- Future Sight: Fine-tuning Language Models for Dynamic Story Generation. .- Short Talks. .- All YIN No YANG: Geometric abstraction of oil paintings with trained models, noise and self-reference. .- Exploring Multi-Objective Evolution for Aesthetic & Abstract 3D Art. .- Aesthetic biases and opacity tactics in the training of visual artificial intelligence models. .- Music Similarity Through Geometric Overlap. .- Graph Neural Network vs Feature-based Folk Music Evolution Analysis. .- Generating Virtual Landscapes and Environmental Narratives with StyleGAN2. .- EmotioNotes Dataset: Decoding emotions in classical music through Concert Program Notes. .- Towards the Automatic Evaluation of Legibility for Graphic Design Posters. .- Short video interestingness: a machine learning approach to determine creative cues in audiovisual production. .- Automated Selection and Ordering of Clip Sequences for Music Videos based on Tonal Tension and Visual Features. .- Evolving the Embedding Space of Diffusion Models in the Field of Visual Arts. .- Steering Large Text-to-Image Model for Kandinsky Synthesis through Preference-based Prompt Optimization.

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