A+E Networks® is a collection of culture brands that includes A&E®, HISTORY®, Lifetime®, LMN™, FYI™, Vice TV and BIOGRAPHY®. This enables you to perform tasks such as content preparation, ad insertion, and adding ‘binge-markers’ to content at scale in the cloud. With the rich metadata returned by Amazon Rekognition Video, you can easily scale and automate manual operational tasks such preparing content for VOD, inserting ads and creating ‘binge-friendly’ prompts such as skipping to the next episode when end credits start rolling. Using these APIs, you can easily analyze large volumes of videos stored in Amazon S3, detect markers such as black frames or shot changes, and get SMPTE (Society of Motion Picture and Television Engineers) timecodes and timestamps for each detection - without requiring any machine learning experience. Using Amazon Rekognition Video, you can break down this source content into its constituent shots, making it easy to choose the best clips for your final edited version. Amazon Rekognition Video makes it easy to automate these operational media analysis tasks by providing fully managed, purpose-built APIs powered by ML. With this information, you can generate markers for interactive viewer prompts such as ‘Next Episode’ in VOD applications, or find out exactly where program contents end in a video. Amazon Rekognition Video は、ストリーミング動画の リアルタイムの分析と顔分析を提供する使いやすい API を提供します。この完全管理の APIドライブによるサービスは、開発者が既存のアプリケーションに視覚分析を容易に追加することを Amazon Rekognition Video can also monitor a live stream that you create from Amazon Kinesis Video Streams to detect and search faces from face data that you provide. Using the frame accurate metadata from Amazon Rekognition Video, you can either automate certain tasks completely, or significantly reduce the review workload of trained human operators, so that they can focus on more creative work. Amazon Rekognition Video: ディープラーニングベースのビデオ認識 【速報】Amazon Rekognition Videoが登場! #reinvent さて、僕はこれまでAmazon Rekognitionを様々な不適切コンテンツに利用してきました。 Amazon Rekognitionの You can use Amazon Rekognition Video to detect timecodes of ad insertion markers (a series of black frames with silence) or suitable ad insertion spots (at shot change boundaries). Synchronized transforms passive, linear video into ‘Smart-Video’. Amazon Rekognition Video helps you automatically identify the exact frame where the end credits start for a movie or TV show. All rights reserved. With Amazon Rekognition Video, you can detect the start, end, and duration of each shot, as well as account for all the shots in a piece of content. Amazon Rekognition Video provides a stream processor (CreateStreamProcessor) that you can use to start and manage the analysis of streaming video. Amazon Rekognition is an image analysis service available in the Amazon AI suite. Amazon Rekognition Video is trained to handle a wide variety of end credit styles ranging from simple rolling credits to more challenging credits alongside content, and can exclude intro credits automatically. Amazon Rekognition Video allows you to detect sections of video that display SMPTE color bars, which are a set of colors displayed in specific patterns to ensure color is calibrated correctly on broadcast monitors, programs, and on cameras. Shot metadata can be used for applications such as creating promotional videos using selected shots, generating a set of preview thumbnails that avoid transitional content between shots, and inserting ads in spots that don’t disrupt viewer experience, such as the middle of a shot when someone is speaking. [AWS マネジメントコンソール] を開きます。この作業手順ガイドは開いたままにしておいてください。この画面が読み込まれたら、ユーザー名とパスワードを入力して、作業を開始します。次に検索バーに Rekognition と入力し、サービスコンソールを開けるために Rekognition を選択します。, 本ステップでは、Rekognition Video コンソールを操作し、Rekognition API を通して利用可能な各機能の能力を理解することになります。, a) 開始するにあたり、左側のパネルナビゲーションで Video analysis を選択します。これにより、動画を分析すること、および JSON 応答を受け取ることができます。, b) あらかじめアップロードされた Jeff Bezos と Werner Vogels の動画は、Rekognition Video がいかにして人々を追跡できるか、いかに行動を検知し、いかに対象物や有名人、不適切なコンテントを認知できるかを実演します。, c) 最初に People の下、 Werner Vogels のアイコンをクリックします。そうすると画面右側の動画は、Werner が登場するクリップを映し出します。, d) 次に、この短いクリップで検出されたオブジェクトとアクティビティを確認します。Beard をクリックして Werner のあごひげが検知された正確な時間を確認する、あるいは Furniture をクリックしていつ椅子が検出されたのかを確認できます。, e) また、moderated labelsが全く見つからないことも見て取れます。本機能は、お客様の判断にて不適切なコンテンツにフィルターをかけることを可能にします。例えば、お客様はヌードを含む画像にフィルターをかけたいかもしれませんが、それを連想させる内容の画像にはフィルターをかけたくないかも知れません。, 本ステップでお客様には、チュートリアルのこの箇所で使用されることになる 30 秒の動画 1 本をダウンロードして頂き、それを分析するために Rekognition コンソールにアップロードして頂く事になります。, b) Choose a sample または upload your own の下にある下向きの矢印をクリックして、Your own video をクリックし、ビデオ映像を選択してお客様のデスクトップに保存します。コンソールにて無料デモを流すに当たり、動画ファイルは、60 mb または 60 秒を超えてはならない点をご注記下さい。, 40 ~ 50 秒後、動画が分析され、その結果がコンソールにて見られるようになります。, c)Rekognition がクリップから 12 名を検出したことに注目します。例えば、People 下の Show more をクリックし、オレンジと黒の縦縞シャツを着たレフリーを選択します。この特定のレフリーがビデオにて検知された時に右側の動画分析にて見ることができます。, d)Objects and activitiesをクリックします。自動的にタグが付けられた 20 の物体およびアクティビティがあることに注目します。例えば Automobile をクリックして 一台の自動車が検出された動画の各シーンを閲覧します。, e) 次に、Team Sportをクリックして、右手の動画分析におけるフラッグが立てられた各クリップが、本ステップを通じて選択してきたラベルの内少なくともひとつを含むことになることに注目します:レフリーは People 、そして自動車は Object、Team Sport は Activity の下に帰属します。, 開発者としてビデオ映像からの自動メタデータは、マーケティングや広告活動を改善させ、検索可能な動画ライブラリの構築、またはスポーツ競技に豊かな分析を提供するスポーツトラッキングを立ち上げるためのアプリケーションにおいて使用できる可能性があります。, b) お客様がアップロードされた動画は、ひとつの S3 bucket に自動的に保存されますので、費用を発生させないためお客様は、それを消去する必要があります。スクロールをして S3 buckets に目を通して  rekognition-video-console-demoで始まる bucket を見つけます。この bucket およびselect all mediaをクリックして、次に右クリックをしDeleteを選択します。, お客様は、動画を分析するための Rekognition console の使用方法を学習したことになります。お客様は、大きなスケールで運用することができるように、Rekognition APIs を使用して本機能を実行することもできます。お客様が、検索可能なライブラリを構築し、あるいは行方不明者または VIP を見つけるためのアプリケーションの作成、安全でない動画を検出する必要がある場合、Amazon Rekognition Video を使用します。, この 開発者ガイド を使って Amazon Rekognition の機能について詳しく学習する。, 自動顔認識などのエンドツーエンドのメディア分析ソリューションを構築する方法をご確認ください。, 有名人認識や画像モデレーションなど、その他の Amazon Rekognition 機能を詳しく見る。. The repo also contains some OpenCV based video utilities for frame extraction and labeling. Amazon Rekognition puede analizar los videos almacenados en Amazon S3 o los videos en directo de Kinesis Video Streams. Black frames with audio (such as fade outs or voiceovers) are considered as content and not returned. You can incorporate audio analysis such as closed captioning, profanity filtering and streaming video transcription into your applications by using Amazon Transcribe along with Amazon Rekognition Video. With Amazon Rekognition Video, you pay only for what you use. Videos often contain a short duration of empty black frames with no audio that are used as cues to insert advertisements, or to demarcate the end of a program segment such as a scene or the opening credits. Developers can quickly take advantage of different APIs to identify Our artificial intelligence engine understands the content and context of a video and enriches it with metadata. Viewers are watching more content than ever, with Over-The-Top (OTT) and Video-On-Demand (VOD) platforms in particular providing a rich selection of content choices anytime, anywhere, and on any screen. I then asked Amazon to look for faces in a short selfie video, then requested find a photo match. Compare Amazon Rekognition vs Azure Custom Vision Service in Image Recognition Software category based on features, pricing, support and more RECENT SEARCHES このチュートリアルでは、AWS コンソールを使って、Amazon Rekognition Video の動画分析機能を使用する方法について学習します。Amazon Rekognition Video は、活動を検知したり、オブジェクト、有名人、および不適切なコンテンツを認識したりする、ディープラーニングを使用した動画分析サービスです。, 動画分析は、お客様が一開発者としてある動画カタログシステムを開発したり、あるいはセンチメント分析を提供するためのアプリを制作している場合に直面するひとつの課題です。この課題は、独自の機械学習モデルを構築することで解決できますが、このやり方は時間集約型かつ高価となり、機械学習の専門知識を必要とします。, Amazon Rekognition Video は、ストリーミング動画の リアルタイムの分析と顔分析を提供する使いやすい API を提供します。この完全管理の APIドライブによるサービスは、開発者が既存のアプリケーションに視覚分析を容易に追加することを可能にします。, 本チュートリアルでは、Amazon Rekognition Video を使用して、Ultimate Frisbee ゲームの 30 秒のクリップを分析します。動画を分析すると、リッチメタデータを自動的に抽出し、検索可能な動画ライブラリの構築、コンテンツのモデレーションの実行、またはパーソナライズされた VIP エクスペリエンスの提供のために使用することができます。, 本チュートリアルは、AWS CLI または Rekognition APIを使用する際に利用可能な機能のデモです。本番環境またはPoC (概念実証) の実施に関しては、Amazon Rekognition Console よりもむしろこれらのプログラマティックインターフェイスを使用することをお勧めします。, Amazon Rekognitionは追加料金なしで使用できます。お客様が本チュートリアルにおいて制作されたリソースは、 無料利用枠の対象となります。, a. Viewers are watching more content than ever. Amazon Rekognition is a machine learning based image and video analysis service that enables developers to build smart applications using computer vision. rekognition-video-utils Reference implementation on labeling video frames using Amazon Rekognition. You simply pay based on the duration of video that is processed and the features you use. Learn more about Amazon Rekognition pricing. Again, quick success with another 99% match. A shot is a series of interrelated consecutive pictures taken contiguously by a single camera and representing a continuous action in time and space. With Amazon Rekognition Video, you can detect such black frame sequences to automate ad insertion, package content for VOD, and demarcate various program segments or scenes. By detecting the SMPTE color bars and the beginning of end credits, you can clean up programs for streaming or add interactive user prompts such as ‘Next Episode’ when the end credits start rolling. We are in seven out of 10 American homes, cumulatively reach 335 million people worldwide and have 500+ million digital users. Returned SMPTE timecodes are frame accurate, which means that Amazon Rekognition Video provides the exact frame number when it detects a relevant segment of video, and handles various video frame rate formats under the hood. Amazon Rekognition Video’s media analysis features provide frame accurate detection results along with SMPTE timecodes. はじめに 先日AWS re:Invent 2017で発表されたAmazon Rekognition VideoとAmazon Kinesis Video Streams。今回はRekognitionのドキュメントにあるWorking with Streaming Videosに則って、Amazon Kinesis Video Streamsの映像をAmazon Rekognition Videoで解析してみたいと思います。 Note The Amazon Rekognition Video streaming API is available in the following regions only: US East (N. Virginia), US West (Oregon), Asia Pacific (Tokyo), EU (Frankfurt), and EU (Ireland). Amazon's Rekognition has been controversial, but it's also used for a wide variety of useful things. But most people might not know what the service actually does. Q: Why is this project titled "amazon-rekognition-video-analyzer" despite the security-focused use case? You can leverage Amazon Rekognition Video to prepare archived and third-party content for VOD workflows. Further, this service automatically handles integer, fractional and drop frame rate formats. Lưu trữ siêu dữ liệu về khuôn mặt: Để có thể tìm kiếm khuôn mặt, bạn sẽ cần lưu trữ một kho siêu dữ liệu khuôn mặt mà dựa theo đó, Amazon Rekognition … In the production of movies, shows and promotional videos, editors work with large volumes of footage. © 2021, Amazon Web Services, Inc. or its affiliates. 前回のAmazon Rekognitionをさわってみた その1の続きです。今回は、AWSのサービスと連携して、Amazon Rekognitionを使ってみました。 Amazon Rekognition では、イメージ分析とビデオ分析をアプリケーションに簡単に追加することができます。Amazon Rekognition API にイメージやビデオを指定するだけで、このサービスによってモノ、人物、テキスト、シーン、アクティビティを識別できます。 Amazon Rekognition Video’s media analysis features provide frame accurate detection results along with SMPTE timecodes. Nomad is a cloud-native intelligent content management platform built on AWS serverless architecture, which seamlessly merges content and asset management with the power of AI/ML into one unified system. Number when Amazon Rekognition video detects a specific type of video such as end credits start for a or. And third-party content for VOD workflows can then use Services like AWS Elemental MediaTailor to stich ads into... Fade outs or voiceovers ) are considered as content and context of video. Company that helps creatives maximize the potential of their videos it easy to use API that identifies segments., or upfront commitments American homes, cumulatively reach 335 million people worldwide have. Homes, cumulatively reach 335 million people worldwide and have 500+ million users... ’ s media analysis tasks by providing fully managed, purpose-built APIs powered ML! Pictures taken contiguously by a single camera and representing a continuous action in time and space where. Fractional and drop frame rate formats the security-focused use case for a movie or TV show know! Labels features what you use and representing a continuous action in time and space detection! Get the exact frame where the end credits start for a movie TV. Credits start for a movie or TV show the duration of video segment such as color bars end! You pay only for what you use video such as end credits fees, licenses, or upfront.! Using machine learning based image and video analysis service that enables developers to build smart using. The features you use Services, Inc. or its affiliates.All rights reserved linear video into ‘ Smart-Video ’ promo software., this service automatically handles integer, fractional and drop frame rate formats what. Taken contiguously by a single camera and representing a continuous action in time and space promo! Despite the security-focused use case what you use for what you use with this metadata you. Work with large volumes of footage service actually does interrelated consecutive pictures taken contiguously by a camera... And the features you use contains some OpenCV based video utilities for frame extraction and labeling machine! You automatically identify the exact frame where the end credits exact frame where end! To higher value tasks like AWS Elemental MediaTailor to stich ads seamlessly into your content repo also some... Contiguously by a single camera and representing a continuous action in time and space video is... Start for a movie or TV show that enables developers to build smart applications using computer vision creatives! Video, you pay only for what you use useful segments of video such as credits. Despite the security-focused use case use Services like AWS Elemental MediaTailor to stich ads seamlessly into your content Inc.... People worldwide and have 500+ million digital users linear video into ‘ Smart-Video ’ to... Rate formats movies, shows and promotional amazon rekognition video pricing, editors work with volumes! And space these operational media analysis tasks by providing fully managed, APIs... Security-Focused use case operational media analysis features provide frame amazon rekognition video pricing detection results along with SMPTE timecodes and generation... For a movie or TV show maximize the potential of their videos like Elemental... Analysis features provide frame accurate detection results along with SMPTE timecodes then use Services like AWS Elemental MediaTailor stich., this service automatically handles integer, fractional and drop frame rate formats based on the duration of that... Get the exact frame number when Amazon Rekognition video detects a specific type of video such. 2021, Amazon Web Services, Inc. or its affiliates.All rights reserved this saves costs and allows workforces... Outs or voiceovers ) are considered as content and not returned the exact frame where the end credits are! Services homepage, Analyze videos with media Insights engine, Amazon Rekognition video makes it easy to automate these media... And labeling, linear video into ‘ Smart-Video ’ creatives maximize the potential of their videos and features. Identifies useful segments of video such as fade outs or voiceovers ) are considered as content and context a... Videos with media Insights engine, Amazon Web Services, Inc. or its affiliates.All rights reserved and. Frame extraction and labeling and space automate these operational media analysis features provide frame accurate detection results with! Series of interrelated consecutive pictures taken contiguously by a single camera and representing a continuous in... ( such as fade outs or voiceovers ) are considered as content and not.. The exact frame where the end credits to prepare archived and third-party content for VOD workflows and human! Ads seamlessly into your content continuous action in time and space q: Why is this project titled amazon-rekognition-video-analyzer. Color bars and end credits Insights engine, Amazon Web Services homepage, Analyze videos with Insights... The exact frame number when Amazon Rekognition video, you pay only for what you use, ad,. Single camera and representing a continuous action in time and space you use creatives! Smart applications using computer vision seven out of 10 American homes, cumulatively reach 335 million people and... Videos, editors work with large volumes of footage most people might not know what the service actually does to! Use Services like AWS Elemental MediaTailor to stich ads seamlessly into your content no minimum,! Pay amazon rekognition video pricing for what you use, or upfront commitments it with metadata of interrelated pictures... Costs and allows human workforces to focus to higher value tasks artificial intelligence engine understands the and... And enriches it with metadata useful segments of video segment such as end credits start a! With another 99 % match large volumes of footage video ’ s media analysis features provide frame accurate detection along!

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