Call for Chapters: Industry Transformations of AI in Video Production

Editors

Randy Joy Ventayen, Pangasinan State University, Philippines
Elmar Noche, Pangasinan State University, Philippines
Muhammad Usman Tariq, Abu Dhabi University, UAE

Call for Chapters

Proposals Submission Deadline: May 20, 2026
Full Chapters Due: July 22, 2026
Submission Date: July 22, 2026

Introduction

The integration of Artificial Intelligence into creative industries has accelerated a profound transformation in how digital content is produced, managed, and consumed. Among these industries, video production stands at the forefront of this shift, evolving from traditionally manual and time-intensive processes into highly automated, data-driven, and intelligent workflows. From pre-production planning to post-production editing and distribution, AI technologies are redefining the entire production pipeline—making it faster, smarter, and, in many cases, more scalable. Advancements in Computer Vision, machine learning, and generative models have enabled capabilities such as automated video editing, real-time object and scene recognition, intelligent color grading, and AI-assisted visual effects. These innovations are not just improving efficiency—they are fundamentally reshaping creative decision-making. Video producers, filmmakers, and content creators now operate in hybrid environments where human creativity is augmented by intelligent systems, allowing for more dynamic storytelling, personalized content, and innovative production techniques. However, this transformation is not without its complexities. The growing use of AI in video production introduces pressing concerns related to intellectual property, authorship, authenticity, and ethical responsibility. The rise of synthetic media and deepfake technologies, for instance, challenges traditional notions of truth and trust in visual content. As industries adopt AI-driven solutions, there is an increasing need to critically examine how these technologies influence not only production efficiency but also cultural, social, and regulatory landscapes. This book, Industry Transformations of AI in Video Production, provides a comprehensive exploration of how AI is reshaping the video production industry. It brings together interdisciplinary perspectives that examine emerging technologies, evolving creative practices, and the broader industrial implications of AI integration. The volume aims to bridge theory and practice by presenting both academic insights and real-world applications, offering readers a well-rounded understanding of this rapidly evolving field. Building on the editor’s previous work in AI-driven creative domains—particularly in music production, where AI has been explored in areas such as automated composition, sound design, and intelligent audio processing—this book extends the discussion into the visual medium. Just as AI has disrupted traditional workflows in music production by enabling new forms of creativity and efficiency, similar transformative patterns are now evident in video production. This continuity highlights a broader trend: the convergence of AI across multimedia industries, where innovation in one domain often informs and accelerates developments in another. This publication positions itself as a critical academic and professional resource for understanding how AI is transforming video production at an industry level. It underscores both the opportunities and challenges of integrating intelligent technologies into creative workflows, offering insights that are relevant to researchers, practitioners, and decision-makers navigating the future of digital media.

Objective

The book Industry Transformations of AI in Video Production aims to systematically examine how Artificial Intelligence is reshaping the structures, processes, and creative practices within the video production industry. It is designed not just to describe technological advancements, but to critically analyze their implications across production workflows, industry standards, and the broader media ecosystem. One of its primary objectives is to consolidate fragmented research across domains such as multimedia production, data science, and Computer Vision into a unified academic resource. Current studies on AI in video production are often dispersed across technical, creative, and industry-focused literature. This book brings these perspectives together, offering a structured and interdisciplinary foundation that advances scholarly understanding and supports future research directions. Another key objective is to document and analyze emerging AI-driven tools and techniques that are transforming video production workflows—from pre-production planning and automated editing to post-production enhancement and intelligent distribution. By presenting both theoretical frameworks and real-world applications, the book seeks to bridge the gap between academic research and industry practice, ensuring relevance to both researchers and practitioners. The book also aims to critically explore the implications of AI on creativity, labor, and authorship in video production. As intelligent systems increasingly participate in creative processes, questions arise regarding human-AI collaboration, the evolving role of creators, and the redefinition of creative ownership. Addressing these issues contributes to ongoing academic discourse and provides a foundation for future studies on AI-mediated creativity. The publication seeks to identify and examine ethical, legal, and regulatory challenges associated with AI in video production. Topics such as deepfake technologies, algorithmic bias, and intellectual property are explored to provide a comprehensive understanding of the risks and responsibilities tied to AI adoption. This contributes to policy-oriented research and supports the development of governance frameworks in multimedia industries. Building on prior scholarly work in AI applications in music production—where intelligent systems have already demonstrated transformative effects on composition, sound engineering, and creative workflows—the book extends these insights into the domain of video production. This cross-domain perspective strengthens comparative research and highlights the convergence of AI across creative industries, offering a broader contribution to multimedia and digital innovation studies.This book intends to serve as a forward-looking academic reference that not only synthesizes current knowledge but also sets a research agenda for future investigations. It contributes to the advancement of interdisciplinary scholarship, supports innovation in AI-driven media production, and provides critical insights that will guide researchers, educators, and industry professionals in navigating the evolving landscape of intelligent video production.

Target Audience

The book Industry Transformations of AI in Video Production is intended for a broad and interdisciplinary audience engaged in both the academic and professional dimensions of Artificial Intelligence and digital media. It primarily targets researchers, academics, and graduate students in fields such as multimedia studies, film production, data science, and Computer Vision. These readers will benefit from the book’s integration of theoretical frameworks, emerging research directions, and interdisciplinary insights that connect AI technologies with evolving creative practices. In addition, educators and curriculum developers can utilize the book as a reference for incorporating AI-driven concepts into courses related to information technology, media production, and digital arts. The publication is equally relevant for industry practitioners, including video producers, filmmakers, editors, animators, and digital content creators who are adapting to AI-enhanced production environments. It also addresses technology developers, software engineers, and system designers working on AI-powered media solutions, offering practical perspectives on implementation and innovation. Furthermore, policymakers, regulators, and institutional leaders will find value in the book’s discussions on ethics, governance, and intellectual property, supporting informed decision-making in the adoption and regulation of AI within creative industries.

Recommended Topics

• Machine Learning Techniques for Automated Video Editing • Computer Vision Applications in Cinematography and Scene Analysis • Generative AI for Video Content Creation and Enhancement • Deep Learning Approaches for Video Classification and Tagging • AI-Driven Visual Effects (VFX) and Post-Production Automation • AI-Assisted Scriptwriting and Story Development • Intelligent Video Editing Tools for Content Creators • Human-AI Collaboration in Film and Multimedia Production • AI in Animation and Motion Graphics Design • Virtual Production and AI in Real-Time Filmmaking • AI in Streaming Platforms and Content Personalization • Automated Video Generation for Marketing and Social Media • AI in News Production and Broadcast Media • Immersive Media: AI in AR, VR, and Mixed Reality Production • Smart Video Analytics for Audience Engagement and Insights • Ethical Issues in AI-Generated Video and Deepfake Technologies • Copyright, Ownership, and Intellectual Property in AI Media • Misinformation and Trust in Synthetic Multimedia Content • Bias and Fairness in AI-Based Video Systems • Regulatory Frameworks for AI in Multimedia Production • AI-Based Video Compression and Optimization Techniques • Cloud-Based AI Systems for Scalable Multimedia Production • Edge AI for Real-Time Video Processing • Open-Source Tools and Platforms for AI Video Production • Integration of AI in Multimedia Production Pipelines • The Future of AI in Creative Industries • Autonomous Video Production Systems • AI and the Evolution of Digital Storytelling • Skills and Workforce Transformation in AI-Driven Media • Sustainable and Green AI in Multimedia Production

Submission Procedure

Researchers and practitioners are invited to submit on or before May 20, 2026, a chapter proposal of 1,000 to 2,000 words clearly explaining the mission and concerns of his or her proposed chapter. Authors will be notified by June 3, 2026 about the status of their proposals and sent chapter guidelines.Full chapters of a minimum of 10,000 words (word count includes references and related readings) are expected to be submitted by July 22, 2026, and all interested authors must consult the guidelines for manuscript submissions at https://www.igi-global.com/publish/contributor-resources/before-you-write/ prior to submission. All submitted chapters will be reviewed on a double-anonymized review basis. Contributors may also be requested to serve as reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted to this book publication, Industry Transformations of AI in Video Production. All manuscripts are accepted based on a double-anonymized peer review editorial process.

All proposals should be submitted through the eEditorial Discovery® online submission manager.

Publisher

This book is scheduled to be published by IGI Global Scientific Publishing, an international academic publisher of the "Information Science Reference", "Medical Information Science Reference", "Business Science Reference", and "Engineering Science Reference" imprints. IGI Global Scientific Publishing specializes in publishing reference books, scholarly journals, and electronic databases featuring academic research on a variety of innovative topic areas including, but not limited to, education, social science, medicine and healthcare, business and management, information science and technology, engineering, public administration, library and information science, media and communication studies, and environmental science. For additional information regarding the publisher, please visit https://www.igi-global.com. This publication is anticipated to be released in 2027.

Indexing Information for Prospective Authors

IGI Global Scientific Publishing meets the criteria for inclusion in major indexing services such as Scopus; however, it is important to note that all indexing decisions are made independently by these services. IGI Global Scientific Publishing books are selectively indexed by the indexing organization after publication. Indexing cannot be guaranteed for any book prior to publication, and the indexing organization has complete control over the final selection and timeline.

Important Dates

May 20, 2026: Proposal Submission Deadline
June 3, 2026: Notification of Acceptance
July 22, 2026: Full Chapter Submission
August 26, 2026: Review Results Returned
September 23, 2026: Final Acceptance Notification
September 30, 2026: Final Chapter Submission

Inquiries

Randy Joy Ventayen
Professor, Pangasinan State University, Philippines
Research Fellow, INTI International University, Malaysia
Research Fellow, UNITAR International University, Malaysia
Visiting Lecturer, Bina Bangsa University, Indonesia
Visiting Lecturer, UHAMKA, Indonesia
rventayen@psu.edu.ph

Elmar Noche
Faculty, Pangasinan State University
Competency-Based Trainer, Philippine Technical Institute
elmarbnoche_ms@psu.edu.ph

Muhammad Usman Tariq
Professor, Abu Dhabi University
Principal Fellow of Advance HE UK
Senior Fellow of SEDA
Chartered Fellow of CIPD UK
Senior Member IEEE
usmankazi100@gmail.com

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