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Automated review

Last Updated: Mar 01, 2021

The automated review feature can help you accurately identify the risky and illegal content in video, audio, and image files, and their thumbnails and titles from multiple dimensions. You can configure automated review templates and standards to meet various business requirements. This topic describes the scenarios and usage of the automated review feature.

Features

The automated review feature is implemented based on a large amount of labeled data and deep learning algorithms. This feature reviews media files from multiple dimensions such as voice, text, and vision. It can accurately identify illegal and non-compliant content such as pornography, terrorism, ads, QR codes, logos, undesirable content, and audio spam in videos and their thumbnails and titles.

Note

The automated review feature in the Singapore region supports only the pornography, terrorism, and undesirable content detection.

The following table describes the review types supported by the automated review feature.

Review type

Description

Category of review results

Pornography detection

Detects whether media files contain pornographic or sexy content.

Normal, porn, and sexy.

Terrorism

Detects whether media files contain terrorism or political content.

Normal, blood and gore, explosion, outfit, logo, weapon, politics, violence, crowd, parade, car crash, flag, and location.

Ad violation detection

Detects whether video and image files contain ads or illegal text.

Normal, politics, porn, abuse, terrorism, prohibited content, junk content, spam, psoriasis ads, QR code, mini program code, and other ads.

Undesirable content detection

Detects whether video and image files contain undesirable scenes, such as the black screen, black edges, dark images, picture-in-picture (PiP), smoking, or streaming during driving.

Normal, PiP, smoking, streaming during driving, and no image such as black screen or white screen.

Logo detection

Detects whether video and image files contain logos, such as TV station logos or trademarks.

Normal, controlled logo, and trademark.

Audio anti-spam

Detects whether audio and video files contain audio junk information, such as ads, political content, or terrorism content.

Normal, junk information, ads, politics, terrorism, abuse, porn, spam, violation, custom, and meaningless. For example, you can set custom keywords.

Scenarios

  • UGC review

    The automated review feature can be used to detect illegal content and quality issues in a large amount of user-generated content (UGC). This can reduce the workload of manual review.

  • On-demand content review

    The automated review feature can be used to detect terrorism and political content in on-demand videos based on the latest political news. This can significantly reduce illegal content.

Usage

For more information about the prerequisites, see Video AI.

To use the automated review feature in the Singapore region, you must submit a ticket.

  • Submit an automated review job

    You can submit an automated review job by using the API or SDK to review the video, audio, and image files that are uploaded to ApsaraVideo VOD. For video and audio files, you can call the SubmitAIMediaAuditJob operation. For image files, you can call the SubmitAIImageAuditJob operation.

  • Manage automated review templates

    When you submit an automated review job, you can specify an automated review template for the job to configure the review process.

    1. You can call the AddAITemplate operation to create a template, the DeleteAITemplate operation to delete a template, the UpdateAITemplate operation to modify a template, the GetAITemplate operation to query the information about a template, and the ListAITemplate operation to query the information about all templates.

    2. If you do not specify an automated review template for an automated review job, the default template is used. You can call the SetDefaultAITemplate operation to specify a custom automated review template as the default template. You can also call the GetDefaultAITemplate operation to query the information about the current default template.

  • Receive callback messages

    After an automated review job is complete, a callback message that contains the review results will be sent to the specified URL. For more information, see AIMediaAuditComplete.

  • Call API operations to query review results

    1. After an automated review job is complete, you can call the GetAIMediaAuditJob operation to obtain the review results.

    2. After an automated review job is complete, you can call the GetMediaAuditResult operation to obtain the summary of the review results.

    3. After an automated review job is complete, you can call the GetMediaAuditResultDetail operation to obtain the details of the review results.

    4. After an automated review job is complete, you can call the GetMediaAuditResultTimeline operation to obtain the points in time of the detected illegal content.

    5. After an automated review job is complete, you can call the GetMediaAuditAudioResultDetail operation to obtain the details of the audio review results.

Notice

ApsaraVideo VOD stores the images that are cited in the automated review results free of charge for two weeks. After two weeks, the images are automatically deleted.