
Case study: Integrating artificial intelligence metadata within Paramount’s digital asset management system
Keywords: Stills Archive; artificial intelligence; celebrity detection; computer learning; metadata; photography
Document Type: Research Article
Affiliations: Paramount Pictures
Publication date: January 1, 2021
Journal of Digital Media Management is the essential peer-reviewed, professional journal for all those involved in the capture, storage and effective application of digital media assets.
Each quarterly 100-page issue publishes in-depth articles, real world case studies and reviews written by some of the leading experts in the field. Topics range from lessons learned in DAM procurement, to the challenges of digital content work flow, and to monetizing digital assets in new and innovative ways. It cuts through the deluge of information facing DAM professionals to deliver authoritative, practical content that provides genuine thought-leadership on digital media management, with actionable advice and ‘lessons learned’ from end users on selecting and using DAM systems in practice.
Journal of Digital Media Management does not solicit advertising or publish advertorial and every article is peer-reviewed by its expert Editorial Board to ensure the Journal:
• Focuses on end users' concerns
• Publishes real-life case studies from leading DAM users
• Provides a benchmark for you to measure your organization against
• Publishes authors from a wide range of sectors including broadcast, entertainment, media, consumer and business brands, social media, cultural institutions, education, not-for-profits and government
• Shows how DAM supports strategic business goals, helping professionals demonstrate the value that DAM can and does contribute to the bottom line
• Combines strategic-level thinking with the technical knowledge needed to put business strategy into practice
• Does not promote a service or product- Editorial Board
- Information for Authors
- Subscribe to this Title
- Contact us
- Forthcoming content
- Multi-user licences
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content