Answers.Body: <p>What you are looking for is called “no-reference quality assessment”. Google can give you specific examples. </p>
  
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-22T19:11:32.030Z
Answers.Text: Couldn't find an available tool for that, except some research papers.
Answers.UserDisplayName: angel_30
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-23T18:36:24.077Z
Answers.Text: Which answers your question as reading those research papers will allow you to implement your own tool. @TinaJ **¯\\_(ツ)_/¯ +1**
Answers.UserDisplayName: Fabby
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-23T19:54:06.220Z
Answers.Text: Haha I'm no more a phd student to spend time on that! Would prefer a ready-to-use tools.
Answers.UserDisplayName: angel_30
Answers.ContentLicense: CC BY-SA 4.0
Answers.CreationDate: 2019-05-22T04:46:39.530Z
Answers.LastActivityDate: 2019-05-22T04:46:39.530Z
Answers.UserDisplayName: SlimSCSI
Body: <p>I'm trying to develop a tool that given a video (without a reference video), it can measure the quality. Basically given some thresholds, it assigns them a rating (I just need 4 classes 1-4). Since we don't have the original reference videos, I'm <strong>not</strong> looking for approaches using SSIM or PSNR or such. Possible options are using machine learning approaches.</p>
  
  <p>Is there any available tool or package for that? If not, how can I implement one?</p>
  
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-24T20:44:24.740Z
Comments.Text: If I understand your question correctly this https://github.com/Netflix/vmaf could help
Comments.UserDisplayName: Marware
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-24T23:00:55.260Z
Comments.Text: @Marware But that one is still reference-based. Isn't it?
Comments.UserDisplayName: angel_30
Comments.ContentLicense: CC BY-SA 4.0
Comments.CreationDate: 2019-05-24T23:02:36.820Z
Comments.Text: `reference_path and distorted_path are the paths to the reference and distorted video files` in `./run_vmaf format width height reference_path distorted_path [--out-fmt output_format]`
Comments.UserDisplayName: angel_30
Tags: <video><video-editor><encoding><video-quality><decoding>
Title: Objective video quality assessment
UserDisplayName: angel_30
ThreadText: # Objective video quality assessment
  
  (Asked by: username_0 on 2019-05-21)
  
  I'm trying to develop a tool that given a video (without a reference video), it can measure the quality. Basically given some thresholds, it assigns them a rating (I just need 4 classes 1-4). Since we don't have the original reference videos, I'm **not** looking for approaches using SSIM or PSNR or such. Possible options are using machine learning approaches.
  
  Is there any available tool or package for that? If not, how can I implement one?
  
  **Tags:** video, video-editor, encoding, video-quality, decoding
  
  > **Comments:**
  > **username_1**: If I understand your question correctly this https://github.com/Netflix/vmaf could help  
  > **username_0**: @username_1 But that one is still reference-based. Isn't it?  
  > **username_0**: `reference_path and distorted_path are the paths to the reference and distorted video files` in `./run_vmaf format width height reference_path distorted_path [--out-fmt output_format]`  
  
  ---
  
  ## 1 answers
  
  ### Answer by username_2 on 2019-05-22. Score: 1
  
  What you are looking for is called “no-reference quality assessment”. Google can give you specific examples.
  
  > **Comments:**
  > **username_0**: Couldn't find an available tool for that, except some research papers.  
  > **username_3**: Which answers your question as reading those research papers will allow you to implement your own tool. @TinaJ **¯\\_(ツ)_/¯ +1**  
  > **username_0**: Haha I'm no more a phd student to spend time on that! Would prefer a ready-to-use tools.  
  
  ---
  
  