Merge pull request #222644 from Juliako/deprecate_announcement

announcement

Author: Stacyrch140

articles/azure-video-indexer/animated-characters-recognition-how-to.md

@@ -12,6 +12,8 @@ ms.author: juliako
 
 # Use the animated character detection with portal and API 
 
+[!INCLUDE [announcement](./includes/deprecation-announcement.md)]
+
 Azure Video Indexer supports detection, grouping, and recognition of characters in animated content, this functionality is available through the Azure portal and through API. Review [this overview](animated-characters-recognition.md) article.
 
 This article demonstrates to how to use the animated character detection with the Azure portal and the Azure Video Indexer API.

articles/azure-video-indexer/animated-characters-recognition.md

@@ -7,6 +7,8 @@ ms.author: juliako
 ---
 # Animated character detection 
 
+[!INCLUDE [announcement](./includes/deprecation-announcement.md)]
+
 Azure Video Indexer supports detection, grouping, and recognition of characters in animated content via integration with [Cognitive Services custom vision](https://azure.microsoft.com/services/cognitive-services/custom-vision-service/). This functionality is available both through the portal and through the API.
 
 After uploading an animated video with a specific animation model, Azure Video Indexer extracts keyframes, detects animated characters in these frames, groups similar character, and chooses the best sample. Then, it sends the grouped characters to Custom Vision that identifies characters based on the models it was trained on. 

articles/azure-video-indexer/includes/deprecation-announcement.md

@@ -0,0 +1,3 @@
+> [!IMPORTANT]
+> The [Animation character recognition](../animated-characters-recognition.md) model will be retired on March 1st, 2023. For any related issues, [open a support ticket](https://portal.azure.com/#blade/Microsoft_Azure_Support/HelpAndSupportBlade/overview) via the Azure portal.
+

articles/azure-video-indexer/release-notes.md

@@ -13,12 +13,16 @@ ms.author: juliako
 
 To stay up-to-date with the most recent Azure Video Indexer developments, this article provides you with information about:
 
-<!--* [Important notice](#upcoming-critical-changes) about planned changes-->
+* [Important notice](#important-notice) about planned changes
 * The latest releases
 * Known issues
 * Bug fixes
 * Deprecated functionality
 
+## Important notice
+
+[!INCLUDE [announcement](./includes/deprecation-announcement.md)]
+
 ## November 2022
 
 ### Speakers' names can now be edited from the Azure Video Indexer website

articles/azure-video-indexer/video-indexer-overview.md

@@ -52,7 +52,6 @@ Unless specified otherwise, a model is generally available.
 * **Black frame detection**: Identifies black frames presented in the video.
 * **Keyframe extraction**: Detects stable keyframes in a video.
 * **Rolling credits**: Identifies the beginning and end of the rolling credits in the end of TV shows and movies.
-* **Animated characters detection** : Detects, groups, and recognizes characters in animated content via integration with [Cognitive Services custom vision](https://azure.microsoft.com/services/cognitive-services/custom-vision-service/). For more information, see [Animated character detection](animated-characters-recognition.md).
 * **Editorial shot type detection**: Tags shots based on their type (like wide shot, medium shot, close up, extreme close up, two shot, multiple people, outdoor and indoor, and so on). For more information, see [Editorial shot type detection](scenes-shots-keyframes.md#editorial-shot-type-detection).
 * **Observed people tracking** (preview): Detects observed people in videos and provides information such as the location of the person in the video frame (using bounding boxes) and the exact timestamp (start, end) and confidence when a person appears. For more information, see [Trace observed people in a video](observed-people-tracing.md).
     * **People's detected clothing** (preview): Detects the clothing types of people appearing in the video and provides information such as long or short sleeves, long or short pants and skirt or dress. The detected clothing is associated with the people wearing it and the exact timestamp (start, end) along with a confidence level for the detection are provided. For more information, see [detected clothing](detected-clothing.md).