SYSTEMS AND PROCESSES FOR ESTIMATING AND DETERMINING CAUSES OF VIDEO ARTIFACTS AND VIDEO SOURCE DELIVERY ISSUES IN A PACKET-BASED VIDEO BROADCAST SYSTEM

• US 20140098899A1
• Filed: 10/04/2013
• Published: 04/10/2014
• Est. Priority Date: 10/05/2012
• Status: Abandoned Application

• Current Assignee: Cheetah Technologies, L.P. (EnerSys)
• Original Assignee: Cheetah Technologies, L.P. (EnerSys)
• Inventors: Mohandas, Praveen A.
• Application Number:
  US14/046,623
• Publication Number:
  US 20140098899A1
• Time in Patent Office: Days
• US Class Current: 375/240.27
• CPC Class Codes: H04N 19/436 using parallelised computational arrangements
• CPC Class Codes: H04N 19/48 using compressed domain processing techniques other than decoding, e.g. modification of transform coefficients, variable length coding [VLC] data or run-length data motion estimation in a transform domain H04N19/547; processing of decoded motion vectors H04N19/513
• CPC Class Codes: H04N 19/587 involving temporal sub-sampling or interpolation, e.g. decimation or subsequent interpolation of pictures in a video sequence
• CPC Class Codes: H04N 19/86 involving reduction of coding artifacts, e.g. of blockiness
• CPC Class Codes: H04N 19/89 involving methods or arrangements for detection of transmission errors at the decoder

Abstract

Estimating and determining causes of video artifacts and video source delivery issues is conducted by a hybrid approach utilizing both video coding layer with DCT information as well as pixel domain information. Coded syntax elements and data as well as sample information in the compressed frequency domain of the video coding layer is analyzed in real time and parallel image analysis algorithms are performed on pixel samples on the GPU core. Computed values from the video coding layer and the image layer are combined to deduce cause of the video artifact and video source delivery issues.

Claims

1. A process for estimating and determining causes of video artifacts and video source delivery issues in a packet-based video broadcast system, comprising the steps of:

analyzing video coding layer information of a compressed video stream;

computing values of degradation of a video coding layer;

running an image algorithm in a GPU to compute values of video artifacts at an image layer; and

combining the computed values from the video coding layer and the image layer to deduce cause of the video artifact and video source delivery issues.

2. The process of claim 1, wherein the step of running an image algorithm comprises the step of running parallel image algorithms in the GPU.

3. The process of claim 1, including the steps of extracting sample values of spatial predicted pixel values, and sending the sample values to the GPU for image analysis.

4. The process of claim 3, including the step of running parallel GPU threads to compute image blockiness.

5. The process of claim 3, including the step of running parallel GPU threads to compute image blur.

6. The process of any of claims 1-3, including the step of analyzing discrete sections and information of the compressed video stream.

7. The process of claim 6, wherein the discrete sections and information comprise quantizer, slices, macroblocks, DC coefficients and AC coefficients.

8. The process of claim 7, including the step of determining loss blockiness by analyzing and counting macroblock and slice losses.

9. The process of claim 7, including the step of determining blackout by analyzing DC values.

10. The process of claim 7, including the step of determining video freeze by analyzing DC values.

11. The process of claim 7, including the step of determining compression blockiness by analyzing quantizer computations.

12. The process of any of claim 1-3 or 6, including the step of determining physical network level elements causing video service degradation.

13. The process of claim 12, including the step of determining that an encoder peak bandwidth setting needs to be increased when it is determined that a compression blockiness is high, a source blockiness is high, and a mean opinion score of the video is low and degraded.

14. The process of claim 12, including the step of determining that an upstream encoder rate setting and/or an upstream content provider need to be inspected when it is determined that a compression blockiness is normal, a source blockiness is high, and a mean opinion score of the video is low and degraded.

15. The process of claim 12, including the step of determining that an encoder peak bandwidth setting needs to be increased when it is determined that a compression blockiness is high, a loss blockiness is normal, a source blockiness is normal, and a mean opinion score of the video is low and degraded.

16. The process of claim 12, including the step of determining that an upstream encoder rate setting and/or an upstream content provider need to be inspected when it is determined that blurriness is high, a compression blockiness is normal, a loss blockiness is normal, a source blockiness is normal, and a mean opinion score of the video is low and degraded.

17. The process of claim 12, including the step of determining that a router queue or schedule and/or streaming encoder buffers need to be inspected when it is determined that freeze delivery is high, video freeze is high, blurriness is normal, a compression blockiness is normal, a loss blockiness is normal, a source blockiness is normal, and a mean opinion score of the video is low and degraded.

18. The process of claim 12, including the step of determining that a router queue or schedule and/or streaming encoder buffers need to be inspected when it is determined that a loss blockiness is high, a source blockiness is normal, and a mean opinion score of the video is low and degraded.