tencent cloud

Overview

Based on Tencent's industry-leading AI technology, face recognition helps you quickly recognize faces in a video, including the frames a person appears in and the coordinates of the areas of the face. You can directly use VOD’s public person libraries or use and manage your own custom person libraries. The public person libraries contain celebrities in various fields, such as movies, music, sports, and academics.

Use cases

Face recognition in media content has been widely used for video creation, media search, and generation of personalized recommendations.

Directions

You can implement face recognition through the face recognition feature as described in Video Content Recognition as follows:

1. Prepare an audio/video content recognition template.
   You can directly use a preset audio/video content recognition template to recognize the people in all the public person libraries.
   You can also specify certain labels of public and custom person libraries to recognize certain types of people by using the face recognition configuration item (FaceConfigure) of the API for creating an audio/video content recognition template. For example, the following code sample indicates to recognize only sports celebrities in the public person libraries:

   {
   "FaceConfigure": {
    "Switch": "ON",
    "DefaultLibraryLabelSet": ["sport"]
   }
   }
   

Get the template ID from the response.
* Custom person libraries are managed through the material sample creation/modification/deletion/acquisition APIs as described in API Category.

2. Initiate a face recognition task with the template ID obtained in step 1 as instructed in Video Content Recognition.
3. Get the task result as instructed in Video Content Recognition.