This page describes how to annotate a video stream from a discrete file or from archived data. See live video streaming to learn how to annotate a live video stream.
You can use the streaming API (StreamingVideoIntelligenceService) for real-time video detection with the following features:
- Analyze labels
- Detect shot changes
- Detect explicit content
- Stream annotation to storage
- Track objects
You can use Vertex AI AutoML for the following feature:
Using the Streaming API
You can split a video file into chunks and stream each chunk by using gRPC to send multiple messages to the Video Intelligence streaming service. The first message can only contain a StreamingVideoConfig message. All subsequent messages must only contain video data.
In a gRPC request, you write the binary data directly to the stream. You do not need to convert the video content to base64.
We recommend that you keep the size of your video chunks to less than 10 MB.
The Video Intelligence also enables you to specify a Google Cloud Storage bucket for your results.
Supported Video Codecs
The Video Intelligence supports the following common video formats:
|MTS, FLV||All MTS, FLV video formats are supported.|
|MP4 (MPEG4), MOV, 3GP||
The MOOV atom must be at the beginning of the file.
You can use the ffmpeg tool to put the MOOV atom at the beginning of your video file, as shown in the following example:
$ ffmpeg -i input_file.mp4 -c copy -map 0 -movflags faststart output_file.mp4
Cues must be at the beginning of the file.
You can use the mkclean tool to move the cue to the start of the file, as shown in the following example:
$ mkclean --keep-cues --optimize in.mkv out.mkv $ mkclean --keep-cues --optimize --doctype 4 in.webm out.webm
For video formats that are not listed as supported, you can determine if your video file supports streaming by using a named pipe and the ffmpeg tool. The following sample commands decode a video into PNG images at a rate of 0.2 fps. If your file can be successfully decoded using these commands, then you can stream it using the Video Intelligence streaming service.
$ mkfifo /tmp/inpipe $ ffmpeg -i /tmp/inpipe -r 0.2 output_%04d.png $ cat [FILE NAME] > /tmp/inpipe