Sports-image wire service agency Imagn Images, based in New York and Berkeley, CA, has announced a strategic pilot with content AI company Eluvio which aims to transform the way images are tagged, captioned, and processed by leveraging multi-modal artificial intelligence and multiple AI/ML (machine learning) models.
The first proof of concept was tested using images captured during the recent Super Bowl LIX in New Orleans, Louisiana. The pilot included coverage of the game and the week-long events leading up to it. The result: fully tagged and captioned images—edited with unprecedented speed and accuracy—setting new benchmarks for time savings, accuracy, and maintaining quality at scale.
“At our massive scale of photo production—real-time coverage from over 10,000 sporting events per year – we’re looking for tools that help our photo editors increase editing speed without sacrificing quality or accuracy.” Imagn Images Bruce Odle told PAN.
“Through the Content Fabric and our native AI tagging, summarization, discovery capabilities, we were able to create fine-tuned models for automatic captioning and real-time search, applied inline with the Fabric hosted images. This is a generalizable approach that can elevate distribution and monetization for video and image production teams and rights holders worldwide.” Michelle Munson, CEO and Co-Founder of Eluvio.
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