Video quality detection

Video quality detection service is based on the demand scenario that data corruption may occur in the process of recording, transmission and storage of video files, which may lead to some defects in video data. Through intelligent algorithms, it conducts batch analysis, evaluation, and conclusion on video images with problems such as blurred images, blurred screens, and noise, to help users quickly locate problems, Improve the efficiency of traditional video technology review.

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Product architecture
Product advantages
Product Functions
Application scenarios
Customer Stories
Recommended products

Product architecture

Video quality inspection is based on video transcoding, image/audio detection and classification, deep learning and other technologies to enable more efficient, convenient and easy-to-use automated detection services for business scenarios such as Internet entertainment, online education, radio and television media, financial dual recording, camera monitoring and so on.

Product characteristics

Rich detection dimensions

It supports the detection of 26 video picture problems, 4 volume problems, and the extraction and detection of media information in audio and video files.

Significant performance

The detection accuracy rate of video quality inspection service reaches 95%+, and the recall rate reaches 80%+.

Cost savings

Replace manual sampling inspection, reduce the cost of manual inspection, and improve the efficiency by 70% on the basis of traditional manual technical review.

Simple operation

Support customized configuration of detection templates, and develop personalized approval standards in combination with business scenarios.

Flexible deployment mode

It supports flexible deployment in multiple ways, such as online call, offline privatization software, and hardware and software integrated login, and can select the appropriate deployment scheme according to business requirements.

Continuous and efficient iteration

According to the business feedback, we will continue to optimize the audit effect, quickly process the latest problem videos, and make the audit results more accurate.

Product Functions

Analyze the content quality of media files, and identify various types of quality problems in pictures and audio.

Picture quality detection
Picture quality detection
Detect the image quality problems of media files caused by improper focusing, lens damage and other factors of video, including jitter, blur, noise, rolling stripes, splash screen, etc.
Audio quality detection
Audio quality detection
Detect audio quality problems caused by damaged recording equipment or transmission lines, including high volume, low volume, mute, sound interruption, etc.
Picture quality assessment
There is a reference video quality score
Calculation of reference video indicators, including PSNR, SSIM, VMAF, etc.
No reference video quality scoring
Support scoring BRISQUE without reference video quality.
Business system
statistical analysis
Support visual display of audit data statistics results.
Storage management
It supports attaching external storage to the system, user-defined addition, deletion, modification and source file query, and automatic detection of files by monitoring folders.
user management
Support the creation, modification and disabling of sub user permissions.

Application scenarios

Video network monitoring

Internet entertainment

Media asset storage management

Smart retail
Under the monitoring scene of retail stores, the video quality inspection service detects the lack of video quality due to equipment and network problems, such as blurring, blocking, jittering, etc. of the images monitored by each camera in real time, gives feedback in a timely manner and makes corresponding adjustments to reduce the cost of manual inspection and management of stores.
Smart Community
Access to the access gate and large screen monitoring through the intelligent video networking platform. While the PC terminal+mobile APP+WeChat platform multi terminal display, in order to avoid missing or fuzzy monitoring images due to equipment and network problems, real-time feedback through video quality inspection, timely adjust the equipment or business process, and support the landing of smart community scenes.

Customer Stories

A radio and television new media company

Vivo short video community

Business Value

Solved the problems of decentralized audit content and system in the audit system management platform, multiple audit tasks, limited audit manpower, low efficiency of task allocation means, and improved the quality of content supervision through AI+manual, multiple measures, machine audit+technical audit+human audit complement each other; Use OCR and other technologies and information means to achieve the ability of content classification and dispatching orders nearby, complete the process reengineering of content audit, and improve the management level of content audit operations.