AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity
Metadata
- Publisher
- SMPTE
- Doc Type
- Journal Article
- Content Type
- Original Research
- Abbreviated Title
- SMPTE Motion Imaging Jour.
- Volume
- 133, No. 3, pp. 66–76
- Abstract
- This paper delves into AI's transformative role in media production and management, examining its application in media asset management, video editing, audio production, and music composition. It investigates how AI, through technologies like semantic embedding and large language models, significantly impacts creative processes, workflow optimization, and ideation. AI aids in automating mundane tasks, enhancing contextual searches, and providing recommended editorial choices, thus allowing creators to concentrate on more complex creative tasks. The survey highlights the use of AI in content management, semantic media search, transcript-based video editing, sound design, and chord symbol auto-completion, illustrating AI's role as a collaborative partner that enhances human ingenuity. The paper underscores the symbiotic relationship between AI and creators, emphasizing the potential for AI to usher in a new era of innovative media content creation and management, positioning AI as a central component of the modern media landscape.
- Publication Date
- 2024-05-01
- DOI
10.5594/JMI.2024/WREN8857- ISSN
- Print:
1545-0279| Electronic:2160-2492 - Link
- https://doi.org/10.5594/JMI.2024/WREN8857
- Author(s)
- Rob GonsalvesKatherine LiStephen WilsonNestor Napoles LopezShailendra Mathur
- Keyword(s)
- Artificial Intelligence, Machine Learning, Media Production, Media Asset Management, OpenCLIP, GPT-4, Llama 2
- Copyright
- © 2024 SMPTE
Bibliographic Reference(s)
- B. Rathore, “Future of AI & generation alpha: ChatGPT beyond boundaries,” Eduzone: Int. Peer Reviewed/Refereed Multidisciplinary J., 12 (1): 63–68, 2023. EXTERNAL
- R. Gonsalves, “ML-Based Indexing of Media Libraries for Insights and Search,” presented at the SMPTE 2022 Media Technology Summit, Hollywood, CA, Oct. 2022. EXTERNAL
- Y. Liu, “Summary of CHATGPT/gpt-4 Research and Perspective Towards the Future of Large Language Models,” Aug. 2023. [Online]. Available: arXiv preprint arXiv:2304.01852. EXTERNAL
- D. Keller, “Computational Creativity in Media Production: At the Crossroad of Progress and Peril,” MS thesis, The University of Bergen, 2023. EXTERNAL
- A. Upadhyay, “A Tutorial Guide to Using the Function Call Feature of OpenAI's ChatGPT API,” Confessions of a Code Addict, June 2023. [Online]. Available: https://codeconfessions.substack.com/p/creating-chatgpt-plugins-using-the. EXTERNAL
- A. Samim, “A New Paradigm of Artificial Intelligence to Disabilities,” Int. J. of Science and Research (IJSR), 12 (1): 478–482, 2023. EXTERNAL
- J. Wehrmann, “Language-Agnostic Visual-semantic Embeddings,” Proc. IEEE/CVF Int. Conf. on Computer Vision, pp. 5804–5813, 2019. EXTERNAL
- A. Radford, “Learning Transferable Visual Models from Natural Language Supervision,” Int. Conf. on Machine Learning (PMLR), Feb. 2021. EXTERNAL
- M. Cherti, “Reproducible Scaling Laws for Contrastive Language-Image Learning,” Proc. IEEE/CVF Conf. on Computer Vision and Pattern Recognition, pp. 2818–2829, Jun. 2023. EXTERNAL
- Z. Sun, “Alpha-CLIP: A CLIP Model Focusing on Wherever You Want,” Dec. 2023. [Online] Available: arXiv preprint arXiv:2312.03818. EXTERNAL
- R. Anil, “Gemini: A Family of Highly Capable Multimodal Models,” Dec. 2023. [Online] Available: arXiv preprint arXiv:2312.11805. EXTERNAL
- R. Luo, “Valley: Video Assistant with Large Language Model Enhanced Ability,” Jun. 2023. [Online]. Available: arXiv preprint arXiv:2306.07207. EXTERNAL
- H. Touvron, “Llama 2: Open Foundation and Fine-Tuned Chat Models,” Jul. 2023. [Online]. Available: arXiv preprint arXiv:2307.09288. EXTERNAL
- A. Radford, “Improving language understanding by generative pre-training,” 2018. [Online]. Available: https://s3-us-west-2.amazonaws.com/openai-assets/research-covers/language-unsupervised/language_understanding_paper.pdf. EXTERNAL
- T. Brown, “Language models are few-shot learners,” Advances in Neural Inform. Process. Sys., 33: 1877–1901, 2020. EXTERNAL
- L. Ouyang, “Training language models to follow instructions with human feedback,” Advances in Neural Information Processing Systems, 35: 27730–27744, Mar. 2022. EXTERNAL
- H. Touvron, “LLaMa: Open and Efficient Foundation Language Models,” Feb. 2023. [Online]. Available: arXiv preprint arXiv:2302.13971. EXTERNAL
- T. J. Park, “A Review of Speaker Diarization: Recent Advances with Deep Learning,” Computer Speech & Language, 72: 101317, 2022. EXTERNAL
- A. Radford, “Robust Speech Recognition via Large-Scale Weak Supervision,” presented at the Int. Conf. on Machine Learning, PMLR 202:28492–28518, 2023. EXTERNAL
- Y. Zhang, “Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages,” 2023. [Online]. Available: arXiv preprint arXiv:2303.01037. EXTERNAL
- V. Pratap, “Scaling speech technology to 1,000+ Languages,” May 2023. [Online]. Available: arXiv preprint arXiv:2305.13516. EXTERNAL
- H. Zhao, “Convolutional-Recurrent Neural Networks for Speech Enhancement,” Presented at the 2018 IEEE Int. Conf. Acoustics, Speech and Signal Process. (ICASSP), Apr. 2018. EXTERNAL
- G. Micchi, M. Gotham, and M. Giraud, “Not all roads lead to Rome: Pitch representation and model architecture for automatic harmonic analysis,” Trans. of the Int. Soc. for Music Information Retrieval, 3:42–54, 2020. EXTERNAL
- N. Nápoles López, M. Gotham, and I. Fujinaga, “AugmentedNet: A Roman Numeral Analysis Network with Synthetic Training Examples and Additional Tonal Tasks,” Proc. of the 22nd Int. Soc. for Music Information Retrieval Conf., pp. 404–411, Nov. 2021. EXTERNAL
- Microsoft, “Azure OpenAI Service - Documentation, quickstarts, API reference.” July 2023. [Online]. Available: https://learn.microsoft.com/en-us/azure/ai-services/openai/quickstart. EXTERNAL
- K. Schwab, “The Daunting Task of Making AI Funny,” Fast Company, Dec. 2016. EXTERNAL
- F. Kruek, “AudioGen: Textually Guided Audio Generation,” [Online]. Available: arXiv preprint arXiv:2209.15352, Sep. 2022. EXTERNAL
- J. Thickstun, D. Hall, C. Donahue, and P. Liang, “Anticipatory Music Transformer,” [Online]. Available: arXiv, Jun. 14, 2023. doi:10.48550/arXiv.2306.08620. EXTERNAL
- C.-Z. A. Huang,, “Music Transformer,” [Online]. Available: arXiv, Dec. 12, 2018. doi:10.48550/arXiv.1809.04281. EXTERNAL
- G. Hadjeres, F. Pachet, and F. Nielsen, “DeepBach: a steerable model for Bach chorales generation,” Proc. 34th Int. Conf. on Machine Learning (ICML'17), pp. 1362–1371, Aug. 2017. EXTERNAL
- J. Copet, “Simple and Controllable Music Generation,” [Online]. Available: arXiv, Jun. 08, 2023. doi:10.48550/arXiv.2306.05284. EXTERNAL
- P. Dhariwal, H. Jun, C. Payne, J. W. Kim, A. Radford, and I. Sutskever, “Jukebox: A Generative Model for Music,” [Online]. Available: arXiv, Apr. 30, 2020. doi: 10.48550/arXiv.2005.00341. EXTERNAL
- R. Rombach, “High-Resolution Image Synthesis with Latent Diffusion Models,” [Online]. Available: arXiv, Apr. 13, 2022. doi: 10.48550/arXiv.2112.10752. EXTERNAL
- A. Ramesh, P. Dhariwal, A. Nichol, C. Chu, and M. Chen, “Hierarchical Text-Conditionallmage Generation with CLIP Latents,” [Online]. Available: arXiv, Apr. 12, 2022. doi:10.48550/arXiv.2204.06125. EXTERNAL
- “Midjourney Variations,” Mar. 2023. [Online]. Available: https://docs.midjourney.com/docs/quick-start. EXTERNAL
- Y. Liu, “Summary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models,” Meta-Radiology, (2023): 100017. EXTERNAL
- E. Tabassi, “Artificial Intelligence Risk Management Framework (AI RMF 1.0),” NIST Trustworthy and Responsible AI, National Institute of Standards and Technology, Gaithersburg, MD, [Online]. https://doi.org/10.6028/NIST.AI.100-1, 2023. Available: https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=936225. EXTERNAL
- J. Spataro, “Introducing Microsoft 365 Copilot - your copilot for work,” Mar. 2023. [Online]. Available: https://blogs.microsoft.com/blog/2023/03/16/introducing-microsoft-365-copilot-your-copilot-for-work/. EXTERNAL
Source Data (JSON)
Full registry record with provenance metadata. Open directly: /api/doc/10.5594-JMI.2024-WREN8857.json
Reference Tree
Explore all references and references to this document, as a navigable tree.
Open Reference TreeReference this Doc
Plain text (ISO 690 compliant)
Preview:
Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/WREN8857
Snippet:
Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/WREN8857
HTML (ISO 690 compliant)
Preview:
Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at https://doi.org/10.5594/JMI.2024/WREN8857
Snippet:
<span class="citation">Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; <cite>AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity</cite>, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024. Available at <a href="https://doi.org/10.5594/JMI.2024/WREN8857" target="_blank" rel="noopener">https://doi.org/10.5594/JMI.2024/WREN8857</a></span>
SMPTE's HTML Pub
Preview:
Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024
doi: 10.5594/JMI.2024/WREN8857
url: https://doi.org/10.5594/JMI.2024/WREN8857
doi: 10.5594/JMI.2024/WREN8857
url: https://doi.org/10.5594/JMI.2024/WREN8857
Snippet:
<li> Rob Gonsalves, Katherine Li, Stephen Wilson, Nestor Napoles Lopez, and Shailendra Mathur; <cite id="bib-10-5594-jmi-2024-wren8857">AI Assistants in Media Production and Management: A Survey of Workflow Optimizations for Enhancing Creativity</cite>, MIJ 2024, Volume 133, Number 3 (pp. 66 to 76); SMPTE, 2024 <span class="doi">10.5594/JMI.2024/WREN8857</span> </li>