A method and system for detecting anomalies in audio and video based on Internet TV services

Abstract

The present invention proposes a method for detecting abnormalities of audio and video based on Internet TV services, the steps of which are as follows: S1, collecting historical video stream data of Internet TV services; S2, decoding, cleaning and converting historical video stream data, And classify the abnormal phenomenon; S3, extract the characteristics of the abnormal phenomenon data after classification, and obtain the abnormal feature database; S4, obtain the real-time video stream data, and perform feature extraction on the real-time video stream data; S5, use the abnormal feature The library judges abnormal phenomena of real-time video stream data and generates abnormal alarms. The system includes a video stream acquisition module, a video analysis module, an abnormal feature analysis module and an abnormal phenomenon detection module. The system and method of the invention have less calculation amount and higher calculation accuracy, can establish a comprehensive and accurate abnormal state information database, and provide comprehensive and accurate abnormal state detection for Internet TV services.

Description

technical field [0001] The invention relates to a method and system for detecting anomalous phenomena of audio and video data in Internet television services, and belongs to the technical field of audio and video anomalous detection. Background technique [0002] With the development of network technology, the Internet TV business has gradually become the mainstream business of audio and video transmission. Affected by various factors, the audio and video of the Internet TV business will have some abnormalities. Common audio and video abnormalities in the Internet TV business include: : Video black field, monochrome field, still frame, color field, color bar, mosaic, etc., as well as audio mute, left (right) channel volume is too high (low), etc. These abnormal phenomena are all visible and audible to the user, which directly affects the user's viewing perception. [0003] For these anomalous phenomena, the existing solutions mainly include: 1. Utilize the characteristics o...

AI Technical Summary

Problems solved by technology

There are following technical defects and deficiencies in the above-mentioned detection method: 1. The method according to the protocol feature is mainly used to analyze the QoS index of the Internet TV service, that is, network delay, packet loss rate, throughput rate, TCP retransmission rate, MDI-LR, MDI- DF, PAT / PMT table errors, CC errors, etc. QoS indicators can reflect the overall service network quality status, but cannot judge specific fault phenomena; 2. Some abnormal phenomena are abnormal states caused by video content sources, through protocol feature analysis Such problems cannot be found in IP stream data, but the user's viewing perception has been affected; 3. The abnormality analysis based on the image comparison method is very computationally intensive, and requires high hardware configuration and software computing capabilities.

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