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Video experiencing quality estimation method, device and system

A quality of experience and video technology, applied in transmission systems, televisions, electrical components, etc., can solve problems such as unfavorable network video online evaluation, objective evaluation method accuracy and pertinence, and the inability to apply HAS video evaluation.

Inactive Publication Date: 2017-08-29
SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0011] 1. The effectiveness and real-time performance of the subjective evaluation method is poor, and the operability is not strong, so it cannot be applied to HAS video evaluation;
[0012] 2. The accuracy and pertinence of the objective evaluation method are not strong, and there is a gap between the user's intuitive experience;
[0014] 1. The subjective evaluation method requires the organization personnel to score in a special test environment, and then the quality evaluation of the video viewing experience can be given. In addition to the high requirements for the test environment and personnel quality, the evaluation score cannot be given in real time. Not conducive to online evaluation of web videos
[0015] 2. Traditional objective evaluation methods only focus on streaming media based on RTSP / RTP transmission, while HAS video based on HTTP protocol is fundamentally different from traditional streaming media. Related methods cannot evaluate the characteristics of HAS video, so they cannot be accurate Measuring the Quality of Experience of HAS

Method used

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  • Video experiencing quality estimation method, device and system
  • Video experiencing quality estimation method, device and system
  • Video experiencing quality estimation method, device and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0195] [Example 1] Video service operation and optimization based on user QoE improvement

[0196] In this embodiment, in order to continuously optimize its own video service, the service provider collects the quantitative parameters of each user when watching the video in the form of a client plug-in in the process of providing the HAS video service, performs online simulation on user experience, and Experience scores are visualized in real-time. Combined with other information provided by the system and the network (such as the geographical location of the user, network type, video type, etc.), the video MOS score in the network is classified and statistically analyzed, which can help operators find users and regions with poor experience and network, and analyze the reasons, so as to optimize the business in a targeted manner.

[0197] The deployment architecture and process of this embodiment are represented as Figure 5 .

[0198] The workflow is as follows:

[0199] 1...

Embodiment 2

[0210] [Example 2] OTT video network optimization

[0211] In this embodiment, the evaluation of the user experience is mainly completed by the network provider. In order to achieve effective monitoring and use of OTT video (OverThe Top, video aggregation service) traffic, the network provider often uses the optical fiber of the router or the access network device An optical splitter is added at the interface to replicate the traffic passing through the optical fiber for data detection and in-depth analysis without affecting the normal use of the network by end users. At this time, the quantitative parameter providing entity (the entity is also called a device, the same below) is deployed as a logical unit in the router of the backbone network, the GGSN of the access network and / or other network devices, and the video quality evaluation entity is integrated in the network optimization server And the two logical functions of the result receiving entity.

[0212] A typical actu...

Embodiment 3

[0223] [Example 3] Adaptive experience improvement of video player

[0224] In this embodiment, the quantitative parameter providing entity, the quality evaluating entity, and the result receiving entity are all deployed on the client. The main purpose is to detect the viewing experience of the user on the local terminal. Strategies, such as adjusting the buffer size, adjusting the bit rate requirements of media fragmentation, and automatically pausing the screen, etc., to avoid further decline in user experience. The I1 and I2 interfaces corresponding to this embodiment are both internal program interfaces.

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Abstract

The invention discloses a video experiencing quality estimation method, a device and a system. The system comprises a quantification parameter providing device, a video experiencing quality estimation device and an estimation result receiving device. The video experiencing quality estimation device comprises a quantification parameter receiving unit, a calculating unit and an estimation result transmitting unit. The quantification parameter receiving unit receives the parameters used to calculate the video experiencing estimation value wherein the parameters comprises the bit rate of the video (BrV), the initial time delay TID, the buffering ratio Rp and the buffering frequency Rf. The invention can simulate the subjective experience of a user in real time, is very timely and effective; and therefore, the method, the device and the system can be conveniently deployed and applied and the applicability is high.

Description

technical field [0001] The invention relates to a method, device and system for evaluating video quality of experience. Background technique [0002] With the rapid development of the Internet, a large number of Internet services continue to emerge at a rapid rate. According to a Cisco report, video traffic accounted for 57% of global Internet traffic in 2012, and will account for more than 69% by 2017. Nearly two-thirds of the traffic will be carried on HTTP video streaming frameworks, such as Netflix and Youtube. Compared with the traditional RTP-based IPTV framework, HTTP Internet video technology can effectively prevent packet loss, but it also introduces some other problems. For example, in the case of network congestion, once the available bandwidth is lower than the bit rate of the video file, it may directly cause the entire file to not be buffered in time, causing the initial waiting time to be too long, or the picture to pause during playback, which will eventual...

Claims

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Application Information

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IPC IPC(8): H04N17/00H04L29/06
CPCH04N17/00H04L65/80
Inventor 朱文明杨珍洪琦李永红
Owner SHENZHEN INSTITUTE OF INFORMATION TECHNOLOGY
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