Video content recognition is an offline task that intelligently recognizes video content with the aid of AI. It recognizes faces, objects, text, opening and closing credits, and speech in the video, helping you accurately and efficiently manage your videos. Specifically, it includes the following features:
| Feature Name | Description | Use Case |
|---|---|---|
| Face recognition | Recognizes faces in video image | |
| Full speech recognition | Recognizes all phrases in speech | |
| Full text recognition | Recognizes all text in video image | Performs data analysis on text in video image |
| Speech keyword recognition | Recognizes keywords in speech | |
| Text keyword recognition | Recognizes keywords in video image | |
| Opening and closing credits recognition | Recognizes opening and closing credits in video |
Some content recognition features depend on a material library. There are two types of libraries: public library and custom library.
| Recognition Type | Public Library | Custom Library |
|---|---|---|
| Face recognition | Supported. Figures in the library mainly include entertainment celebrities, sports celebrities, and politically sensitive figures | Supported. Call a server API to manage the custom face library |
| Speech recognition | Not supported yet | Supported. Call a server API to manage the keyword library |
| Text recognition | Not supported yet | Supported. Call a server API to manage the keyword library |
Video-Content-Recognition-Template">
Video content recognition integrates a number of recognition features that require fine-grained control through parameters as shown below:
For common combinations of operations, VOD provides a preset video content recognition template. In addition, you can also create and manage custom video recognition templates by calling a server API.
There are three ways to initiate a video content recognition task, namely, directly initiating through server API, directly initiating through the console, and specifying a task upon upload. For more information, please see Task Initiation for video processing.
Below are instructions for initiating video content recognition tasks in these ways:
AiRecognitionTask parameter in the request.AiRecognitionTask parameter in the request.MediaProcessTask.AiRecognitionTask), and use it to initiate video processing in the console.MediaProcessTask.AiRecognitionTask), and specify it as the procedure in the ApplyUpload request.MediaProcessTask.AiRecognitionTask), and specify it as the procedure in the signature for upload from client.MediaProcessTask.AiRecognitionTask), upload a video through the console, select Process Video During Upload, and specify to execute this task flow upon video upload completion.After initiating a video content recognition task, you can wait for result notification asynchronously or perform task query synchronously to get the task execution result. Below is an example of getting the result notification in normal callback mode after the content recognition task is initiated (the fields with null value are omitted):
{
"EventType":"ProcedureStateChanged",
"ProcedureStateChangeEvent":{
"TaskId":"1400155958-Procedure-2e1af2456351812be963e309cc133403t0",
"Status":"FINISH",
"FileId":"5285890784363430543",
"FileName":"Collection",
"FileUrl":"http://1400155958.vod2.myqcloud.com/xxx/xxx/aHjWUx5Xo1EA.mp4",
"MetaData":{
"AudioDuration":243,
"AudioStreamSet":[
{
"Bitrate":125599,
"Codec":"aac",
"SamplingRate":48000
}
],
"Bitrate":1459299,
"Container":"mov,mp4,m4a,3gp,3g2,mj2",
"Duration":243,
"Height":1080,
"Rotate":0,
"Size":44583593,
"VideoDuration":243,
"VideoStreamSet":[
{
"Bitrate":1333700,
"Codec":"h264",
"Fps":29,
"Height":1080,
"Width":1920
}
],
"Width":1920
},
"AiRecognitionResultSet":[
{
"Type":"FaceRecognition",
"FaceRecognitionTask":{
"Status":"SUCCESS",
"ErrCode":0,
"Message":"",
"Input":{
"Definition":10
},
"Output":{
"ResultSet":[
{
"Id":183213,
"Type":"Default",
"Name":"John Smith",
"SegmentSet":[
{
"StartTimeOffset":10,
"EndTimeOffset":12,
"Confidence":97,
"AreaCoordSet":[
830,
783,
1030,
599
]
},
{
"StartTimeOffset":12,
"EndTimeOffset":14,
"Confidence":97,
"AreaCoordSet":[
844,
791,
1040,
614
]
}
]
},
{
"Id":236099,
"Type":"Default",
"Name":"Jane Smith",
"SegmentSet":[
{
"StartTimeOffset":120,
"EndTimeOffset":122,
"Confidence":96,
"AreaCoordSet":[
579,
903,
812,
730
]
}
]
}
]
}
}
}
],
"TasksPriority":0,
"TasksNotifyMode":""
}
}
In the callback result, ProcedureStateChangeEvent.AiRecognitionResultSet contains the recognition result in Type of FaceRecognition, which represents face recognition.
The result in Type of FaceRecognition shows that Output.ResultSet contains two recognized figures John Smith and Jane Smith. SegmentSet indicates the time period (determined by StartTimeOffset and EndTimeOffset) during which a face appears in the video and the coordinates (determined by AreaCoordSet) in the video image.
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