Setting Up Your Development Environment
- Ensure you have Java Development Kit (JDK) installed and properly configured. You can verify the installation by running `java -version` in your terminal.
- Set up a Maven or Gradle project depending on your preference. These build automation tools will help manage dependencies effectively.
Adding Dependencies
- For Maven, add the following dependency in your `pom.xml` file:
<dependency>
<groupId>com.google.cloud</groupId>
<artifactId>google-cloud-video-intelligence</artifactId>
<version>1.5.0</version> <!-- Use the latest version available -->
</dependency>
- For Gradle, add the dependency to your `build.gradle` file:
implementation 'com.google.cloud:google-cloud-video-intelligence:1.5.0' // Use the latest version available
Authenticating Your Application
- Obtain a JSON key file for your Google Cloud project, which includes the necessary authentication credentials.
- Set the `GOOGLE_APPLICATION_CREDENTIALS` environment variable to point to the JSON key file:
export GOOGLE_APPLICATION_CREDENTIALS="/path-to-your-service-account-file.json"
Using the Google Cloud Video Intelligence API
- Implement video annotation by creating a simple Java program. Here is a basic example to get you started:
import com.google.cloud.videointelligence.v1.AnnotateVideoRequest;
import com.google.cloud.videointelligence.v1.Feature;
import com.google.cloud.videointelligence.v1.VideoIntelligenceServiceClient;
import com.google.cloud.videointelligence.v1.VideoAnnotationResults;
import com.google.cloud.videointelligence.v1.VideoContext;
import com.google.protobuf.ByteString;
import java.util.List;
public class VideoAnnotator {
public static void main(String[] args) {
try (VideoIntelligenceServiceClient client = VideoIntelligenceServiceClient.create()) {
// Choose the features you need
Feature feature = Feature.LABEL_DETECTION;
String gcsUri = "gs://your-bucket/video.mp4"; // Example data source
AnnotateVideoRequest request = AnnotateVideoRequest.newBuilder()
.addFeatures(feature)
.setInputUri(gcsUri)
.build();
// Annotate video
List<VideoAnnotationResults> results = client.annotateVideoAsync(request).get().getAnnotationResultsList();
// Process the results
results.forEach(result -> {
System.out.println("Labels found:");
result.getSegmentLabelAnnotationsList().forEach(label -> {
System.out.format("* %s (confidence: %.2f)\n", label.getEntity().getDescription(),
label.getSegmentsList().get(0).getConfidence());
});
});
} catch (Exception e) {
e.printStackTrace();
}
}
}
- This example performs label detection on a video stored in a Google Cloud Storage bucket. Adjust the `Feature` enumeration to include other types of detection as per your requirements (e.g., SHOT_CHANGE_DETECTION, EXPLICIT_CONTENT_DETECTION).
- Ensure that the Google Cloud Storage path (`gcsUri`) is correctly set to point to your video file.
Important Considerations
- Check your service account permissions to ensure it can access and modify Google Cloud Storage and use the Video Intelligence API.
- Handle exceptions and response time. The API call can take several minutes for lengthy videos, which should be considered in your application flow.
