[{"data":1,"prerenderedAt":61},["ShallowReactive",2],{"workflow-video-segment-detection-workflow":3},{"id":4,"title":5,"cleanup":6,"contributors":10,"deploy":13,"description":17,"diagram":18,"extension":19,"framework":20,"gitHub":21,"introBox":30,"level":35,"meta":36,"resources":37,"s3URL":46,"services":47,"simplicity":52,"stem":53,"testing":54,"type":58,"usecase":59,"videoId":29,"__hash__":60},"workflows\u002Fworkflows\u002Fvideo-segment-detection-workflow.json","Video segment detection and editing workflow",{"headline":7,"text":8},"Cleanup",[9],"1. Delete the stack: \u003Ccode>sam delete\u003C\u002Fcode>.",[11,12],"content\u002Fcontributors\u002Faryam-gutierrez.json","content\u002Fcontributors\u002Fdamian-mcnamara.json",{"text":14},[15,16],"sam build","sam deploy --guided --capabilities CAPABILITY_NAMED_IAM","AWS Step Functions uses Amazon Rekognition and MediaConvert to detect and edit video segments, removing SMPTE color bars.","\u002Fassets\u002Fimages\u002Fworkflows\u002Fvideo-segment-detection-workflow.png","json","AWS SAM",{"template":22,"payloads":27},{"repoURL":23,"templateDir":24,"templateFile":25,"ASL":26},"https:\u002F\u002Fgithub.com\u002Faws-samples\u002Fstep-functions-workflows-collection\u002Ftree\u002Fmain\u002Fsegment-detection-workflow\u002F","segment-detection-workflow","template.yaml","statemachine\u002Fstatemachine.asl.json",[28],{"headline":29,"payloadURL":29},"",{"headline":31,"text":32},"How it works",[33,34],"This workflow automates the video editing process using Amazon Rekognition for detecting segments and Amazon MediaConvert for removing segments.","A video file with SMPTE color at the beginning is provided as the input, the output is a clean video file without SMPTE color bars.","200",{},{"headline":38,"bullets":39},"Additional resources",[40,43],{"text":41,"link":42},"Amazon Rekognition - Segment Detection","https:\u002F\u002Fdocs.aws.amazon.com\u002Frekognition\u002Flatest\u002Fdg\u002Fsegments.html",{"text":44,"link":45},"Amazon MediaConvert - Working with jobs","https:\u002F\u002Fdocs.aws.amazon.com\u002Fmediaconvert\u002Flatest\u002Fug\u002Fworking-with-jobs.html",null,[48,49,50,51],"elemental-mediaconvert","rekognition","s3","sfn","3 - Application","workflows\u002Fvideo-segment-detection-workflow",{"headline":55,"text":56},"Testing",[57],"See the GitHub repo for detailed testing instructions.","Standard","Video Processing","d9CBe13TMIIsE0jbyzB4nHTiGIwbtD5bOeoxjbb4sbk",1782470146308]