METHOD AND SYSTEM FOR ASSESSING QUALITY OF MULTI-LEVEL VIDEO

• US 20110141289A1
• Filed: 12/08/2010
• Published: 06/16/2011
• Est. Priority Date: 12/16/2009
• Status: Abandoned Application

• Current Assignee: Electronics and Telecommunications Research Institute
• Original Assignee: Electronics and Telecommunications Research Institute
• Inventors: CHO, Kyeong Seob, SIM, Donggyu, LEE, Seonoh, LEE, Kyung Hee, LEE, Sungkuen, LEE, Hyun Woo, RYU, Won
• Application Number:
  US12/963,243
• Publication Number:
  US 20110141289A1
• Time in Patent Office: Days
• US Class Current: 348/180
• CPC Class Codes: H04N 17/004 for digital television systems

Abstract

Provided is a method of assessing an image quality of each of a base layer and an enhanced layer using a different scheme to assess a quality of a multi-level video based on assessment results. A multi-level video quality assessing system includes: a bitstream extractor to separate a multi-level video into a base layer bitstream and an enhanced layer bitstream; a base layer quality assessment module to generate quality assessment result information of a base layer image by assessing an image quality of base layer bitstream; an enhanced layer quality assessment module to generate quality assessment result information of an enhanced layer image by assessing an image quality of enhanced layer bitstream; and a final video quality assessment module to assess a quality of experience (QoE) of multi-level video based on quality assessment result information of each of the base layer image and the enhanced layer image.

Claims

1. A system of assessing a quality of a multi-level video, comprising:

a bitstream extractor to separate the multi-level video into a base layer bitstream and an enhanced layer bitstream;

a base layer quality assessment module to generate quality assessment result information of a base layer image by assessing an image quality of the base layer bitstream;

an enhanced layer quality assessment module to generate quality assessment result information of an enhanced layer image by assessing an image quality of the enhanced layer bitstream; and

a final video quality assessment module to assess a quality of experience (QoE) of the multi-level video based on quality assessment result information of the base layer image and quality assessment result information of the enhanced layer image.

2. The system of claim 1, wherein the enhanced layer bitstream includes a plurality of bitstream units.

3. The system of claim 2, wherein the enhanced layer quality assessment module comprises:

an enhanced layer analysis module to separate the enhanced layer bitstream into the plurality of bitstream units, and to verify a type of bitstream units and a number of bitstream units used for reconstructing the multi-level video;

a parameter extraction module to extract, from each of the bitstream units, at least one decoding parameter associated with the image quality of the enhanced layer bitstream; and

a quality assessment module to generate quality assessment result information of the enhanced layer image by assessing a quality of the enhanced layer image corresponding to the enhanced layer bitstream based on the decoding parameter.

4. The system of claim 3, wherein when the bitstream unit corresponds to a spatial enhanced bitstream unit, the parameter extraction module extracts, as the decoding parameter, at least one of a resolution of an enhanced layer image, a reference level of image information of a base layer for reconstruction, and a magnitude of a differential signal of the enhanced layer generated based on a differential signal of the base layer.

5. The system of claim 3, wherein when the bitstream unit corresponds to a quality enhanced bitstream unit, the parameter extraction module extracts, as the decoding parameter, at least one of a magnitude difference between quantization parameters and a magnitude of a differential signal of an enhanced layer generated based on a differential signal of a base layer.

6. The system of claim 3, wherein the final video quality assessment module comprises:

an adaptation function selection module to select an adaptation function to be used for an image quality assessment based on the type of bitstream units and the number of bitstream units; and

a final video quality assessment output module to output a QoE assessment result of the multi-level video by applying the selected adaptation function to quality assessment result information of the base layer image and quality assessment result information of the enhanced layer image.

7. The system of claim 1, wherein the base layer quality assessment module comprises:

a base layer image reconstruction module to reconstruct a base layer image corresponding to the base layer bitstream using the base layer bitstream; and

a base layer image quality assessment module to generate quality assessment result information of the base layer image by assessing a quality of the base layer image.

8. The system of claim 7, wherein the base layer image quality assessment module assesses the quality of the base layer image using one of a full-reference quality assessment scheme, a reduced-reference quality assessment scheme, and a non-reference quality assessment scheme.

9. A method of assessing a quality of a multi-level video, comprising:

separating the multi-level video into a base layer bitstream and an enhanced layer bitstream;

generating quality assessment result information of a base layer image by assessing an image quality of the base layer bitstream;

generating quality assessment result information of an enhanced layer image by assessing an image quality of the enhanced layer bitstream using a scheme different from the base layer bitstream; and

assessing a QoE of the multi-level video based on quality assessment result information of the base layer image and quality assessment result information of the enhanced layer image.

10. The method of claim 9, wherein the enhanced layer bitstream includes a plurality of bitstream units.

11. The method of claim 10, wherein the generating of the quality assessment result information of the enhanced layer image comprises:

separating the enhanced layer bitstream into the plurality of bitstream units;

verifying a type of bitstream units and a number of bitstream units used for reconstructing the multi-level video in the enhanced layer bitstream;

extracting, from each of the bitstream units, at least one decoding parameter associated with the image quality of the enhanced layer bitstream; and

generating quality assessment result information of the enhanced layer image by assessing a quality of the enhanced layer image corresponding to the enhanced layer bitstream based on the decoding parameter.

12. The method of claim 11, wherein when the bitstream unit corresponds to a spatial enhanced bitstream unit, the extracting comprises extracting, as the decoding parameter, at least one of a resolution of an enhanced layer image, a reference level of image information of a base layer for reconstruction, and a magnitude of a differential signal of the enhanced layer generated based on a differential signal of the base layer.

13. The method of claim 11, wherein when the bitstream unit corresponds to a quality enhanced bitstream unit, the extracting comprises extracting, as the decoding parameter, at least one of a magnitude difference between quantization parameters and a magnitude of a differential signal of an enhanced layer generated based on a differential signal of a base layer.

14. The method of claim 11, wherein the assessing comprises:

selecting a adaptation function to be used for an image quality assessment based on the type of bitstream units and the number of bitstream units; and

outputting a QoE assessment result of the multi-level video by applying the selected adaptation function to quality assessment result information of the base layer image and quality assessment result information of the enhanced layer image.

15. The method of claim 9, wherein the generating of the quality assessment result information of the base layer image comprises:

reconstructing a base layer image corresponding to the base layer bitstream using the base layer bitstream; and

generating quality assessment result information of the base layer image by assessing a quality of the base layer image.

16. The method of claim 15, wherein the generating of the quality assessment result information of the base layer image by assessing the quality of the base layer image comprises assessing the quality of the base layer image using one of a full-reference quality assessment scheme, a reduced-reference quality assessment scheme, and a non-reference quality assessment scheme.