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Labeling and Categorization
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Last updated: 2024-10-16 17:14:48
Labeling and Categorization
Last updated: 2024-10-16 17:14:48
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Overview

The labeling and categorization feature performs structured analysis on various dimensions, including people, behavior, speech, text, objects, and scenes in audios/videos to generate high-accuracy audio/video labels, frame-specific labels, and audio/video categories automatically.
Feature
Description
Audio/Video labeling
Audio/Video labeling gives suggestions on the labels that can be added to an audio/video. Currently, it supports over 3,000 labels such as game, vehicle, musician, race car, pet, drum, bike, World of Warcraft, computer, and school, and it supports categories like people, event, scene, objects, landscape, food, animals.
Frame-specific labeling
Frame-specific labeling automatically recognizes labels in the video frames captured at the custom frame capturing interval, and locates the labels in the video. Frame labels are divided into nine categories, such as people, landscape, artificial object, building, plant, animal, and food, covering various aspects of daily life.
Audio/Video categorization
Audio/Video categorization gives suggestions on which category an audio/video should belong to. There are currently over twenty categories, such as car, parenting, fashion and entertainment, game, military, technology, politics, animals, food, sports, travel, animation, dance, music, television, variety show, host, political news, international news, and social news.
The labeling and categorization feature helps you efficiently manage media resources and can be used to give personalized audio/video recommendations.

Use cases

Scenario
Description
Media resource management
Users can search for media resources on audio/video platforms by category and label, greatly improving the search efficiency.
Audio/Video creation
Audio/Video creators can quickly search for materials by category or by label, helping them create content more efficiently.
Personalized audio/video recommendations
Short video platforms, e-commerce platforms, and social media applications can push media content that precisely matches users' preferences. This not only helps increase the clicks of the media content on platforms but also allows users to more easily find the content they are interested in.
TV cataloging
The TV industry can use the labeling and categorization feature of VOD to efficiently manage massive amounts of video content. Based on the recognized labels and categories, it's easier to archive and search for videos.

How to Use

Audio/Video labeling, frame-specific labeling, and audio/video categorization are enabled by the intelligent labeling, intelligent labeling by frame, and intelligent categorization capabilities of Video Content Analysis. To use the features, follow the steps below:
1. Create an audio/video content analysis template and configure intelligent labeling (TagConfigure), intelligent labeling by frame (FrameTagConfigure), and intelligent categorization (ClassificationConfigure) as needed. For example, in the following API call, all three labeling and categorization features are enabled, and the interval for frame-specific labeling is set to three seconds.
{
 "TagConfigure": {
     "Switch": "ON"
 },
 "FrameTagConfigure": {
     "Switch": "ON",
     "ScreenshotInterval": 3
 },
 "ClassificationConfigure": {
     "Switch": "ON"
 }
}
Get the template ID from the response. If you intend to enable all three labeling and categorization features, you can also use our preset content analysis template whose ID is 20.
2. Initiate a labeling and categorization task with the template ID obtained in step 1 as instructed in Video Content Analysis.
3. Get the task result as instructed in Video Content Analysis.
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