Video quality evaluation method based on Gop scene complexity

A technology of video quality and evaluation method, applied in TV, electrical components, image communication, etc., can solve problems such as inability to obtain reference video related information

Inactive Publication Date: 2014-03-19
BEIJING UNIV OF POSTS & TELECOMM
View PDF5 Cites 11 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Accurately evaluating videos is challenging bec...

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Video quality evaluation method based on Gop scene complexity
  • Video quality evaluation method based on Gop scene complexity
  • Video quality evaluation method based on Gop scene complexity

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0021] Firstly, the preferred embodiments of the present invention will be described with reference to the accompanying drawings. As much as possible, the same parts in the entire drawings are represented by the same or similar symbols or words.

[0022] figure 1 The method framework of the present invention is shown, specifically including:

[0023] Step 1: Analyze the test video sequence to separate single frame and frame type. For a video sequence, when the decoder reads the video packet and performs decoding, it can know which frame is currently being processed. Usually, a video sequence consists of several I frames, P frames and B frames. The I frame is called a reference frame, which contains the complete information of the original image, so it is often the largest; the P frame is called a unidirectional predictive frame, which is obtained by encoding the difference between the current image and the previous I frame or P frame; the B frame is A bidirectional predicti...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

Video objective quality evaluation is one of important research points in QoE services in the future. The invention proposes a video quality evaluation method based on GoP scene complexity. Firstly, through analysis of a video sequence, separated frames and GoPs of a video are obtained. Through use of the obtained separated frames and GoPs, scene complexity and time-domain complexity of a Gop are obtained. According to the obtained scene complexity and time-domain complexity, an original quality and visual masking effect of the GoP are calculated respectively. According to the error masking effect, the objective quality of a single GoP is obtained. At last, a proposed weighting formula is used to perform weighting on a plurality of GoPs in the video so that the objective quality of the video sequence is obtained.

Description

technical field [0001] The invention relates to a method for objectively evaluating video quality, in particular to a method for calculating GoP scene complexity and mapping GoP scene complexity to video quality. technical background [0002] As digital video services are more and more integrated into people's lives in various ways, the video quality evaluation from the video source end to the user end becomes more and more important. The most reliable method of video quality evaluation is through subjective evaluation, that is, people actually observe the video and give a subjective evaluation value to the video through viewing. VQEG stipulates a single-stimulus continuous quality (SSCQE) evaluation method. The observer gives a subjective score after watching a continuous video, and finally obtains the subjective evaluation value by combining the evaluations of multiple observers. However, in many occasions, this evaluation method has serious limitations. It requires a lar...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): H04N17/00
Inventor 邵华路兆铭温向明傅彬王鲁晗邓佳君王刚廖青
Owner BEIJING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products