Video quality evaluation method and system based on network health index

Abstract

The invention provides a video quality evaluation method and system based on a network health index. Through fitting video quality evaluation based on the network health index with video quality evaluation based on frame lag information analysis lag data provided based on a chip, an evaluation algorithm module based on the network health index of an evaluation method for simulating and analyzing the lag data is obtained and implanted into a set-top box lacking the capability of analyzing the lag data, objective and correct video quality evaluation consistent with the corresponding effect of human eye experience is realized, and the problem of unified evaluation standard of whole network quality monitoring is solved.

Description

technical field [0001] The invention relates to the Internet field, in particular to a video quality evaluation method and system based on a network health index for real-time streams such as IPTV. Background technique [0002] With the vigorous development of the Internet and multimedia technology, watching videos online has become one of the main entertainment methods in daily life. Users' requirements for viewing experience are constantly improving with the increase of network bandwidth and the increasing abundance of online video resources. The video quality at the user end is a key factor affecting the viewing experience of the user, because even a high-quality original video may be transmitted through the network and be distorted due to the processing capability of the set-top box. Therefore, in order to improve the user experience, it is of great significance to effectively evaluate the video quality of the user terminal. [0003] The human eye's main perception of v...

AI Technical Summary

Problems solved by technology

[0008] 1. Full reference: The method is to compare the original video for evaluation, which reaches the pixel level, can be comprehensively and accurately evaluated, and is consistent with the effect of the human eye, but because it needs the original video for comparison, the original video is often not available, and consumes There is too much bandwidth, the applicable range is limited, the adaptability is poor, and the video resolution is not comparable after scaling;

[0009] 2. Partial reference: the method is to compare part of the original video and apply calculations, which is easy to implement and can reduce bandwidth overhead compared to full reference, but the evaluation value is not necessarily consistent with the human eye experience, and there is a certain deviation;

But the set-top boxes in the northern provinces, such as figure 1 Set-top box B in (a), due to player and hardware problems, there is no hardware chip frame freeze information statistics module has no freeze data, or although the hardware chip has freeze data, the player software does not transmit freeze data to the probe , so it is impossible to achieve the above-mentioned objective quality assessment without reference type based on the analysis of frame information provided by the chip.

In this way, those set-top boxes in the entire network that do not have a statistical module for chip frame jam information will make it difficult to conduct network-wide statistical video quality assessment.

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