Search Batch Video Warehouse data

Prerequisite: create a Batch Video Warehouse with a deployed index.

Search Batch Video Warehouse data in the console

Console

Open the Warehouses tab of the Vertex AI Vision dashboard.

Go to the Warehouses tab
Find the index endpoint you want to search, and click Search Assets.
You will see a list of videos (each corresponding to an asset), as well as one search bars at the top. You can either click a video to view it, or begin to search for videos.
To begin searching, enter a text query or upload an image as the search query. You will see a list of video clips on the right side of the search result page, each of which corresponds to a continuous video clip in the assets. The video clips are ranked by relevance to the input query.
You can use the Filters section on the left side of the search result page to refine your search. Each filter criteria consists of a data schema key and the annotation value you want to search. After specifying the filter criteria, click Search to execute the search.

Search Batch Video Warehouse data using the command line

To search the videos (assets) in your corpus (corpus), populate the searchIndexEndpoint request body with the content that you would like to find. This content comes in a few different formats:

text_query or image_query: Query to search with.
Optional criteria: Filter criteria on user provided annotations.

In the following example, consider a corpus that contains natural scenery videos. To retrieve all assets that are relevant to "sunset at beach" and tagged with the annotation "state": "California", send the following request:

REST & CMD LINE

Before using any of the request data, make the following replacements:

REGIONALIZED_ENDPOINT: Endpoint might include a prefix matching the LOCATION_ID such as europe-west4-. See more about regionalized endpoints.
PROJECT_NUMBER: Your Google Cloud project number.
LOCATION_ID: The region where you are using Vertex AI Vision. For example: us-central1, europe-west4. See available regions.
INDEX_ENDPOINT_ID: The ID of your target index endpoint.

HTTP method and URL:

POST https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint

Request JSON body:

{
  "text_query": "sunset at beach",
  "criteria": [
    {
      "field": "state",
      "text_array": {
          "txt_values": [
            "California"
          ]
      }
    }
  ]
}

To send your request, choose one of these options:

curl

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login , or by using Cloud Shell, which automatically logs you into the gcloud CLI . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json, and execute the following command:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint"

PowerShell

Note: The following command assumes that you have logged in to the gcloud CLI with your user account by running gcloud init or gcloud auth login . You can check the currently active account by running gcloud auth list.

Save the request body in a file named request.json, and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "searchResultItems": [
    {
      "asset": "projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora/CORPUS_ID/assets/ASSET_ID_1"
    },
    {
      "asset": "projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora/CORPUS_ID/assets/ASSET_ID_2"
    }
  ]
}

If you have an image of a sunset at a beach, you can also use it as a search query by sending the following request (input image is in base64 encoding format):

REST & CMD LINE

Before using any of the request data, make the following replacements:

REGIONALIZED_ENDPOINT: Endpoint might include a prefix matching the LOCATION_ID such as europe-west4-. See more about regionalized endpoints.
PROJECT_NUMBER: Your Google Cloud project number.
LOCATION_ID: The region where you are using Vertex AI Vision. For example: us-central1, europe-west4. See available regions.
INDEX_ENDPOINT_ID: The ID of your target index endpoint.

HTTP method and URL:

POST https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint

Request JSON body:

{
  "image_query": {
    "input_image": "IMAGE_BYTES"
  },
  "criteria": [
    {
      "field": "state",
      "text_array": {
          "txt_values": [
            "California"
          ]
      }
    }
  ]
}

To send your request, choose one of these options:

curl

Save the request body in a file named request.json, and execute the following command:

curl -X POST \
     -H "Authorization: Bearer $(gcloud auth print-access-token)" \
     -H "Content-Type: application/json; charset=utf-8" \
     -d @request.json \
     "https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint"

PowerShell

Save the request body in a file named request.json, and execute the following command:

$cred = gcloud auth print-access-token
$headers = @{ "Authorization" = "Bearer $cred" }

Invoke-WebRequest `
    -Method POST `
    -Headers $headers `
    -ContentType: "application/json; charset=utf-8" `
    -InFile request.json `
    -Uri "https://warehouse-visionai.googleapis.com/v1/projects/PROJECT_NUMBER/locations/LOCATION_ID/indexEndpoints/INDEX_ENDPOINT_ID:searchIndexEndpoint" | Select-Object -Expand Content

You should receive a JSON response similar to the following:

{
  "searchResultItems": [
    {
      "asset": "projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora/CORPUS_ID/assets/ASSET_ID_1"
    },
    {
      "asset": "projects/PROJECT_NUMBER/locations/LOCATION_ID/corpora/CORPUS_ID/assets/ASSET_ID_2"
    }
  ]
}