AI & VFX literature

Venkatasawmy, R. (2012). The digitization of cinematic visual effects Hollywood’s coming of age. Lexington Books.

Okun, J. A., Zwerman, S., Rafferty, K., & Squires, S. (Eds.). (2015). The VES handbook of visual effects: industry standard VFX practices and procedures. Focal Press, Taylor & Francis Group.

Murch, W. (2001). In the blink of an eye: a perspective on film editing (2nd ed.). Silman-James Press.

Rickitt, R. (2006). Special effects: the history and technique / Richard Rickitt ; foreword by Ray Harryhausen. Aurum.

VFX & Animation. (n.d.). Vancouver Economic Commission. Retrieved August 18, 2023, from https://vancouvereconomic.com/vfx-animation/

Argaw, D. M., Heilbron, F. C., Lee, J.-Y., Woodson, M., & Kweon, I. S. (2022). The Anatomy of Video Editing: A Dataset and Benchmark Suite for AI-Assisted Video Editing. In S. Avidan, G. Brostow, M. Cissé, G. M. Farinella, & T. Hassner (Eds.), Computer Vision – ECCV 2022 (pp. 201–218). Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-20074-8_12

Anantrasirichai, N., & Bull, D. (2022). Artificial intelligence in the creative industries: a review. Artificial Intelligence Review, 55(1), 589–656. https://doi.org/10.1007/s10462-021-10039-7

Rowe, J., & Partridge, D. (1993). Creativity: a survey of AI approaches. Artificial Intelligence Review, 7(1), 43–70. https://doi.org/10.1007/BF00849197

Caramiaux, B., Lotte, F., Geurts, J., Amato, G., Behrmann, M., Bimbot, F., Falchi, F., Garcia, A., Gibert, J., Gravier, G., Holken, H., Koenitz, H., Lefebvre, S., Liutkus, A., Perkis, A., Redondo, R., Turrin, E., Viéville, T., & Vincent, E. (2019). AI in the media and creative industries [Report, New European Media (NEM)]. https://inria.hal.science/hal-02125504

Barber, A., Cosker, D., James, O., Waine, T., & Patel, R. (2016). Camera tracking in visual effects an industry perspective of structure from motion. https://doi.org/10.1145/2947688.2947697

Preliminary study in the ethics of Artificial Intelligence. (2019). UNESCO.

Estrada, O., Peretti, N., & Figueroa, R. (2019). Rotoscope Automation with Deep Learning. SMPTE 2019, 1–9. https://doi.org/10.5594/M001867