Video Analysis for Identifying and Blocking Adult Content

Identifying Insights and Time Ranges for Adult Content Detection

Question

You have a requirement to identify and block Video Content that is found to have adult content.

You use Video Indexer or Video analyzer for Media in Azure for this purpose.

Which element would you choose to get the required insights in the video and time ranges that show the appearance of these insights?

Answers

Explanations

Click on the arrows to vote for the correct answer

A. B. C. D.

Correct Answer: B.

Option A is incorrect because the sentiments aim to find the positive or negative sentiment in a given text.

It is useful in situations like analyzing the brand reviews.

Option B is correct because visual content moderation will provide the time ranges in the insights for the identified adult content.

If there is no such content identified, you will get an empty response.

Here is a quick example of the JSON response:

<pre>"VisualContentModeration": [

{

"id": 0,

"adultScore": 0.00069,

"racyScore": 0.91129,

"instances": [

{

"start": "00:00:25.4840000",

"end": "00:00:25.5260000"

}

]

}

]

</pre>

Option C is incorrect because emotions aim to identify emotions such as fear and joy, based on speech or audio analysis.

Option D is incorrect because shots are aimed at identifying the key frames.

They are not purposed to moderate the content of a video.

Reference:

To learn more about Video Indexer insights, use the link given below:

The correct answer for this question is option B - visualContentModeration.

Video Indexer or Video analyzer for Media in Azure is a cloud-based video processing service that enables users to extract insights from their video and audio files. The service can analyze media content and provide various insights such as transcription, translation, speaker identification, face detection, and visual content moderation.

Visual content moderation is a feature of Video Indexer that uses computer vision and machine learning to analyze video content for adult or offensive material. The visual content moderation capability can detect different types of content, such as nudity, suggestive content, violence, weapons, drugs, and more.

To identify and block video content that has adult content, we need to use the visual content moderation feature of Video Indexer. This feature provides insights on the time ranges in the video that show the appearance of adult content. These insights can be used to determine whether to block the content or to take other appropriate actions.

The other answer options, sentiments, emotions, and shots, are not directly related to the identification and blocking of video content with adult content. Sentiments and emotions are used to detect the sentiment and emotion of the people in the video. Shots are used to segment the video into smaller parts based on different camera angles or changes in the scene.