How to use Google Cloud Video Intelligence for video analysis and processing in PHP development

As people's demand for visual information processing continues to increase, more and more developers are beginning to explore how to use Google Cloud's visual intelligence services for video analysis and processing. In recent years, Google has launched a tool called Google Cloud Video Intelligence, which provides a complete solution for intelligent video analysis, allowing developers to process videos more conveniently. In the field of PHP development, how to use Google Cloud Video Intelligence for video analysis and processing? This article will introduce you to the detailed steps and processes.

1. Register a Google Cloud account and create a project

First, we need to register a Google Cloud account and create a project. The specific steps are as follows:

1. Visit the Google Cloud official website and click "Get started for free" in the upper right corner.
2. You need to use a Google account to log in. If you do not have a Google account, the system will guide you to create a new account.
3. Create a new project, give it a name, and enable the Google Cloud Video Intelligence API service.
4. On the API management page, select "Create Credentials" and select the service account key.
5. After creating the service account key, download it locally and copy its JSON content for later use.
6. Enter the following command in the terminal or command line: export GOOGLE_APPLICATION_CREDENTIALS="[PATH]" (where [PATH] is the JSON file path of the service account key in step 5) to complete the credential configuration.

2. Write PHP code for video analysis and processing

After completing the configuration of credentials, we need to start writing PHP code for video analysis and processing. The specific steps are as follows:

1. Install and introduce the Google Cloud PHP SDK library, which can be achieved through the Composer tool.
2. Use the API client library of Google Cloud Video Intelligence to create a new VideoIntelligenceServiceClient instance.
3. Call the annotateVideo method in VideoIntelligenceServiceClient, which requires the following parameters:

a. Video uri, which is the video file path to be analyzed and processed.

b. Feature list, including SPEECH_TRANSCRIPTION, LABEL_DETECTION, SHOTS, EXPLICIT_CONTENT, etc.

c. Configuration parameters, for example, setting the model used in video processing, the type of video processing, and the language of the video, etc.

4. After completing the video analysis and processing, parse and return the processing results.

The following is an example of PHP code:

require __DIR__ . '/vendor/autoload.php';

use GoogleCloudVideoIntelligenceV1VideoIntelligenceServiceClient;
use GoogleCloudVideoIntelligenceV1Feature;

function analyzeVideo($uri) {
    $videoIntelligenceServiceClient = new VideoIntelligenceServiceClient();

    $features = [Feature::SPEECH_TRANSCRIPTION, Feature::LABEL_DETECTION, Feature::SHOTS, Feature::EXPLICIT_CONTENT];

    $operationResponse = $videoIntelligenceServiceClient->annotateVideo($uri, $features, []);

    $operationResponse->pollUntilComplete();

    if ($operationResponse->operationSucceeded()) {
        $result = $operationResponse->getResult();

        // 解析处理结果并输出到控制台
        // TODO: 在此处添加对处理结果的解析和显示代码
    } else {
        $error = $operationResponse->getError();
        echo('An error occurred when analyzing the video: ' . $error->getMessage());
    }
}

analyzeVideo('gs://my-bucket/my-video.mp4');

In the above example code, we call the annotateVideo method of VideoIntelligenceServiceClient. By setting different feature lists, we can complete the video content Different processing such as converting speech, detecting tags, analyzing footage and detecting sensitive content.

3. Conclusion

Through the introduction of Google Cloud Video Intelligence and the examples of PHP code, we can see that the process of using Google Cloud Video Intelligence for video processing is not complicated. By calling the API interface of VideoIntelligenceServiceClient and parsing and displaying the processing results, comprehensive analysis and processing of video content can be achieved. If you are also developing in PHP and need to use video analysis and processing, please try using Google Cloud Video Intelligence, I believe it will bring you a new visual experience.

The above is the detailed content of How to use Google Cloud Video Intelligence for video analysis and processing in PHP development. For more information, please follow other related articles on the PHP Chinese website!