Video content analysis is an offline task that intelligently analyzes video content with the aid of AI. It intelligently gives suggestions on video categorization, tagging, and cover generating to help video platforms accurately and efficiently manage videos.

Video content analysis includes the following features:

Video Content Analysis Template

The analysis operations in a video content analysis task are subject to analysis parameters, which can be presented in the form of VOD video content analysis template as shown below:

• Whether to enable intelligent categorization.
• Whether to enable intelligent tagging.
• Whether to enable intelligent cover generating.
• Whether to enable intelligent frame-specific tagging.

For common combinations of operations, VOD provides a preset video content analysis template.

Task Initiation

There are three ways to initiate a video content analysis 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 analysis tasks in these ways:

• Call the server API ProcessMedia to initiate a task: specify the video content analysis template ID in the AiAnalysisTask parameter in the request.
• Call the server API ProcessMediaByUrl to initiate a task: specify the video content analysis template ID in the AiAnalysisTask parameter in the request.
• Initiate a task on a video through the console: call a server API to create a task flow, configure a video content analysis task in it (by specifying MediaProcessTask.AiAnalysisTask), and use it to initiate video processing in the console.
• Specify a task upon upload from server: call a server API to create a task flow, configure a video content analysis task in it (by specifying MediaProcessTask.AiAnalysisTask), and specify it as the procedure in the ApplyUpload request.
• Specify a task upon upload from client: call a server API to create a task flow, configure a video content analysis task in it (by specifying MediaProcessTask.AiAnalysisTask), and specify it as the procedure in the signature for upload from client.
• Upload through console: call a server API to create a task flow, configure a video content analysis task in it (by specifying MediaProcessTask.AiAnalysisTask), upload a video through the console, select Process Video During Upload, and specify to execute this task flow upon video upload completion.

Getting Result

After initiating a video content analysis 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 analysis task is initiated (the fields with null value are omitted):

{
  "EventType":"ProcedureStateChanged",
  "ProcedureStateChangeEvent":{
      "TaskId":"1256768367-Procedure-2e1af2456351812be963e309cc133403t0",
      "Status":"FINISH",
      "FileId":"5285890784246869930",
      "FileName":"Animal World",
      "FileUrl":"http://1256768367.vod2.myqcloud.com/xxx/xxx/AtUCmy6gmIYA.mp4",
      "MetaData":{
          "AudioDuration":60,
          "AudioStreamSet":[
              {
                  "Bitrate":383854,
                  "Codec":"aac",
                  "SamplingRate":48000
              }
          ],
          "Bitrate":1021028,
          "Container":"mov,mp4,m4a,3gp,3g2,mj2",
          "Duration":60,
          "Height":480,
          "Rotate":0,
          "Size":7700180,
          "VideoDuration":60,
          "VideoStreamSet":[
              {
                  "Bitrate":637174,
                  "Codec":"h264",
                  "Fps":23,
                  "Height":480,
                  "Width":640
              }
          ],
          "Width":640
      },
      "AiAnalysisResultSet":[
          {
              "Type":"Classification",
              "ClassificationTask":{
                  "Status":"SUCCESS",
                  "ErrCode":0,
                  "Message":"",
                  "Input":{
                      "Definition":10
                  },
                  "Output":{
                      "ClassificationSet":[
                          {
                              "Classification":"Animals",
                              "Confidence":80
                          },
                          {
                              "Classification":"Travel",
                              "Confidence":34
                          }
                      ]
                  }
              }
          },
          {
              "Type":"Cover",
              "CoverTask":{
                  "Status":"SUCCESS",
                  "ErrCode":0,
                  "Message":"",
                  "Input":{
                      "Definition":10
                  },
                  "Output":{
                      "CoverSet":[
                          {
                              "CoverUrl":"http://1256768367.vod2.myqcloud.com/xxx/xxx/xxx1.jpg",
                              "Confidence":79
                          },
                          {
                              "CoverUrl":"http://1256768367.vod2.myqcloud.com/xxx/xxx/xxx2.jpg",
                              "Confidence":70
                          },
                          {
                              "CoverUrl":"http://1256768367.vod2.myqcloud.com/xxx/xxx/xxx3.jpg",
                              "Confidence":66
                          }
                      ]
                  }
              }
          },
          {
              "Type":"Tag",
              "TagTask":{
                  "Status":"SUCCESS",
                  "ErrCode":0,
                  "Message":"",
                  "Input":{
                      "Definition":10
                  },
                  "Output":{
                      "TagSet":[
                          {
                              "Tag":"Horse",
                              "Confidence":34
                          },
                          {
                              "Tag":"Bird",
                              "Confidence":27
                          },
                          {
                              "Tag":"Plant",
                              "Confidence":13
                          },
                          {
                              "Tag":"Beach",
                              "Confidence":11
                          }
                      ]
                  }
              }
          }
      ],
      "TasksPriority":0,
      "TasksNotifyMode":""
  }
}

In the callback result, ProcedureStateChangeEvent.AiAnalysisResultSet contains the analysis result in Type of Classification, Cover, and Tag, which represent intelligent categorization, intelligent cover generating, and intelligent tagging, respectively.

• The result in Type of Classification shows the Output.ClassificationSet, where the highest degree of confidence is of animal, followed by travel.
• The result in Type of Cover is Output.CoverSet, which gives 3 recommended covers, and CoverUrl is the download address of a corresponding cover.
• The result in Type of Tag is Output.TagSet, which gives 4 recommended tags for the video in descending order of confidence.