Synthetic Media Community Group

Semantic Web Interest Group,


Introduction

A new W3C Community Group is launching: the Synthetic Media Community Group.

Our group is interested in every component of the modern architectures of artificial intelligence with which to generate or synthesize media and interactive media content.

We intend to advance the state of the art with a number of new standards. With new and improved standards, teams and organizations will be better able to explore and develop the interoperable components which comprise these modern architectures of artificial intelligence.

We hope that you can join us in the advancement of artificial intelligence standards and technologies. Please take a moment to support the creation of the new group: https://www.w3.org/community/groups/proposed/#synthetic-media .

Synthetic Media

Synthetic media is any content created or modified algorithmically.

Applications of synthetic media include: education, journalism, and entertainment.

Some pertinent hyperlinks include: http://smartbody.ict.usc.edu/ , https://www.soulmachines.com/ , https://www.synthesia.io/ .

Digital Characters

Our group is interested in digital characters, behavior modeling, and in the numerous other topics of computer animation such as: lighting, cameras, timelines, tracks, and scene graphs.

Dialogue Systems

Our group is interested in the topics of multimodal mixed-initiative dialogue systems including: speech recognition, natural language understanding, natural language generation and speech synthesis.

Modeling and Simulation

Our group is interested in modeling and computer simulation topics.

Digital Entertainment

Our group is interested in these topics in the contexts of digital entertainment and video games.

Computational Narratology, Digital Screenplays and Interactive Narrative

Computer-generated stories, scripts and screenplays can facilitate the complex and interactive behaviors of one or more digital characters including interactions between digital characters and on-screen imagery, presentation slides, videos, 3D graphics, virtual sets and video walls.

Our group is interested in the generation and real-time generation of stories, scripts, screenplays, storyboards and cinematography.

Automated Planning and Scheduling

Automated planning is a traditional approach to generating media content. Our group is interested in cloud-based automated planning and scheduling.

Deep Learning

Deep learning is a recent approach to generating media content. Our group is interested in cloud-based deep learning.

Content Evaluation and Computational Aesthetics

Our group is interested in the automatic evaluation of plans, stories, scripts, screenplays, storyboards, cinematography, visual imagery, audio, dialogues, natural language, explanations, presentations and other media content.

Computational aesthetics and evaluation technologies can be of use in guiding search, when comparing alternatives, when making design decisions, and when training neural systems.

Existing Standards and Technologies

Existing standards and technologies relevant to our group include, but are not limited to: FML, BML, MURML, SSML, SMIL, WebRTC, HTML, RDF, and JavaScript.

Conclusion

Thank you. We hope that you can join us in the advancement of artificial intelligence standards and technologies. Please take a moment to support the creation of the new group: https://www.w3.org/community/groups/proposed/#synthetic-media .