People focusing camera is very important on some senario like face-to-face e-learning as meta-data. Face API support detect several eye point and hopefully Video Indexer calcrate summary it like "camera focusing time".
https://docs.microsoft.com/en-us/azure/cognitive-services/face/face-api-how-to-topics/howtodetectfacesinimage

Any plans on including Finnish, Swedish and other nordic languages in the near future?

A.I or API on the recognition of facial expression and/or motion language (Sign Language) in Korean ..Korean Sign Language if possible I am willing to provide you with data,

Video Indexer API(V2) enable us to get video processing status using such as List Videos API, and what status does it show? Because API result doesn't seem to associate to each Azure Media Service jobs which are shown in Azure Portal (or other tools).
We wish if we could get detail jobs and those status as well as Media Service via Video Indexer APIs

Current Video Indexer API(V2) requires to get account access token at first for all API operations, and it doesn't associated to anyone (or any account) when using operations APIs.
We would like to identify which user (or app) via API upload video, and wish to feature to get individual user access token and use operation APIs with it.

Too low accuarcy that Video Indexer can't detect its language with auto-detect mode like this:
https://www.youtube.com/watch?v=kRQnArIIffw
It's Japanese but Video Indexer defines this as en-us.

In case using Video Indexer in org, we'd like to set co-owner and/or feature to transfer to next owner.

We would like to have privacy option "Public" and "Private" such as sharing within group. Much nicer if could be shared in org account/security group.

We'd like to share account with several users, so that it would be nice to be able to add by group (such as AD security group if it is org account), not individually

Video Edit page doesn't show all subtitles and ocrs. As screenshot shows, video info tells 4 ocr exists, but it shows only 3 (because of area height)

https://docs.microsoft.com/en-us/azure/cognitive-services/video-indexer/video-indexer-embed-widgets

The steps to embed private videos appears outdated. Got a "not authorized" error even though the access token is valid.

The steps described in the API portal seems up to date though, as it worked perfectly.

When i assign a name to a person and leave 'edit' mode, the next time i click on that person's icon the label goes back to 'unknown #n' - tried a number of different ways but i can't get it to retain the value.

now it's just a manual file upload but I would like to work with YouTube as a data source

Do you have use cases for scouting reports for coaches?

For instance, in basketball, I want to tag all plays when the opponent's star player went left and pulled up for a jump shot. I also want to tag all plays when the opponent's star player went left and drove to the basket.

I want all this analysis and tagging to be done in the background so that coaches and players can simply look for this and rewatch the videos during halftime.

Hello! Tell me how you can search the image (face photo) in a video file (archive video), analog AWS rekognition face-search

Gostaria de suporte para aprender mais - pode er em telefone Brasil - 19 933074346 ou http://bit.ly/WhatsappGiacomoNerone

I've tried the indexer with videos from Vimeo, such as, for instance I searched the Vimeo site for 'neural networks' and found this URL: https://vimeo.com/195917263
The indexer gives an error message "There is some problem with the input values."

My own product would benefit if Video Indexer analyzed prosody. "Prosody" is the speed of speech, and the intonation. If I knew, for example, that between 5 seconds and 10 seconds the speaker was speaking fast, that can help my application. If I know that he is speaking a dull, emotionless way, that can also help. If I know that the volume (and / or pitch) of his tone is rising, that also helps. Sentiment analysis is good, but its on a more abstract level. I believe that Carnegie Mellon has developed a prosody detector.