A time-domain detection method of video transmission quality based on deep learning frequency identification
A technology of video transmission and deep learning, applied in the field of video transmission quality time domain detection based on deep learning frequency identification, can solve problems such as difficulty in calculating picture freezing time and picture delay time, and inability to fully reflect picture freezing and picture delay performance.
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0013] In order to make the objectives, technical solutions, and advantages of the present invention, the present invention will be described in more detail below with reference to the embodiments and drawings.
[0014] like figure 1 As shown, a video transmission quality time domain detection method process based on depth learning frequency standard, including the following steps:
[0015] Step 10 Production to detect a video of the video transmission time domain indicator, calibrate each video frame serial number N in the video specific location s With the check number N c As a video label, referred to as the frequency standard;
[0016] Step 20 Train the SSD target detection network to detect the video frame as an input of the SSD target, used to detect the targets in the frequency standard. Target box J = 1, 2, 3, ..., n, n is the total number of targets;
[0017] Step 30 From the detected and Extraction and Used to locate video frames, Is it incorrect to check if the...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com