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Description of case
Description of case
Pain: It took us so much time and manual effort to identify and tag incoming images from sports events that we could only afford to do this in real time for a few of the most important events each year. Even when being prepared in advance it was a slow and inefficient process that required a huge effort. Because of this, our image metadata was minimal at best for all but the top-tier events meaning we were missing out on a lot of the long tail of value of both our current image inflow and our historical image repositories.
Pain: It took us so much time and manual effort to identify and tag incoming images from sports events that we could only afford to do this in real time for a few of the most important events each year. Even when being prepared in advance it was a slow and inefficient process that required a huge effort. Because of this, our image metadata was minimal at best for all but the top-tier events meaning we were missing out on a lot of the long tail of value of both our current image inflow and our historical image repositories.
Pill: MediaHub integration with best-in-class AI image recognition from AWS to provide seamless metadata enrichment of both real-time and archived images and assets.
Pill: MediaHub integration with best-in-class AI image recognition from AWS to provide seamless metadata enrichment of both real-time and archived images and assets.
Description: Using MediaHub’s ability to seamlessly integrate best in class AI micro services into both real-time and on-demand digital workflows.
Proof: By using MediaHub’s ability to integrate AWS’s AI micro services into our real-time and on-demand digital workflows we are now able to consistently publish top-tier events faster with high quality and lower costs than ever before. We are also now delivering expanded coverage of local and regional events which we believe is reducing churn and strengthening connections with our subscriber base.
MediaDropBox ->Openstore ->MediaHub ->ImageAnalyse ->MediaHub ->RaceInfo ->MediaHub ->Openstore
Keywords: Openstore, MediaHub, MediaDropBox, Chain of events, Google GCP
Photographer send images direct from WiFi Camera via MediaDropBox to Openstore
Openstore send MediaHub message "new images"
ImageAnalyse service gets message and sends images to AWS Rekognition Image / Google GCP for "numberplate detection"
ImageAnalyse enriches image metadata with start numbers found on image and send MediaHub message
RaceInfo service gets message and use the GeoJson and Image metadata part in message do detect competition arena and race, enriches message with race info and send MediaHub message with enriched information
Openstore Application gets message about "updated image metadata" and updates database with race info for competitors found on image
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