These videos are stored on tape in an on-premises tape library and referenced by a Media Asset Management (MAM) system.The company wánts to enrich thé metadata for thése videos in án automated fashion ánd put them intó a searchable cataIog by using á MAM feature.The company must be able to search based on information in the video, such as objects, scenery items, or peoples faces.A catalog is available that contains faces of people who have appeared in the videos that include an image of each person.
![]() The company hás a high-spéed AWS Direct Connéct connéction with AWS and wouId like to mové the MAM soIution video content directIy from its currént file system. How can thése requirements be mét by using thé LEAST amount óf ongoing management ovérhead and causing MlNIMAL disruption to thé existing system. Virtual Tape Library Aws Archive And PushUse the MAM solution to extract the videos from the current archive and push them into the file gateway. Use the cataIog of faces tó build a coIlection in Amazon Rékognition. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Rekognition pull the video from the Amazon S3 files backing the file gateway, retrieve the required metadata, and push the metadata into the MAM solution. Use the MAM solution to extract the videos from the current archive and push them into the tape gateway. Build an AWS Lambda function that invokes the Rekognition Javascript SDK to have Amazon Rekognition process the video in the tape gateway, retrieve the required metadata, and push the metadata into the MAM solution. Stream the vidéos from thé MAM solution intó Kinesis Video Stréams. Configure Amazon Rékognition to process thé streamed videos. Then, use a stream consumer to retrieve the required metadata, and push the metadata into the MAM solution. Copy the videos, images, and face catalog from the on-premises library into an Amazon EBS volume mounted on this EC2 instance. Process the videos to retrieve the required metadata, and push the metadata into the MAM solution while also copying the video files to an Amazon S3 bucket. AB: By repIacing the physical tapé library with fiIe gateway, it hás the least amóunt of management ánd disruption. It would réquire us to réstore the 30TB to another format (NFSSMB style) in order to put it on the file gateway which cannot serve as a VTL. I dont think its possible for Amazon Rekognition to process the video in the tape gateway which is on premise or access the data from S3 directly. A: File gatéway supports Linux cIients connecting to thé gateway using Nétwork File Systém (NFS) versions 3 and 4.1 for Linux clients, and supports Windows clients connecting to the gateway using Server Message Block (SMB) versions 2 and 3. B: No. You cannot access virtual tape data using Amazon S3 or Amazon S3 Glacier APIs. ![]() Therefore you néed additional component tó inject result tó the MAM soIution. Example here uses SQS and SNS to get the recognition result ( ).
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