Unlock instant, AI-driven research and patent intelligence for your innovation.

Method for establishing fixed rate coefficient prediction model and video coding

A fixed bit rate, prediction model technology, applied in the field of video processing, can solve the problem that CRF encoding cannot be quickly and effectively encoded, and achieve the effect of short time and high efficiency

Active Publication Date: 2022-07-19
SHANGHAI BILIBILI TECH CO LTD
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] Aiming at the problem that the existing CRF coding cannot perform fast and efficient coding based on a certain bit rate, a method for establishing a fixed bit rate coefficient prediction model and video coding that aims to quickly and effectively encode video according to the bit rate is provided

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method for establishing fixed rate coefficient prediction model and video coding
  • Method for establishing fixed rate coefficient prediction model and video coding
  • Method for establishing fixed rate coefficient prediction model and video coding

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0126] The video encoding method can be applied to the server, for example: the client uploads the recorded selfie video to the server, and the server adopts the video encoding method in the above-mentioned embodiment to use the fixed bit rate coefficient prediction model for the received video, based on the target bit rate. Select the optimal encoding method for encoding, so that the server can manage the different videos uploaded by each client in a unified manner, so that the optimal bit rate can be selected for the convenience of transmission and storage under the condition of the same image quality.

Embodiment 2

[0128] The video encoding method can also be applied to the client. The client uses the video encoding method in the above embodiment to use the fixed bit rate coefficient prediction model for the locally stored video, and selects the optimal encoding method based on the target bit rate for encoding. In the case of the same image quality, the purpose of selecting the optimal bit rate.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses a method for establishing a fixed bit rate coefficient prediction model and video coding, and belongs to the technical field of video processing. The present invention encodes the sample video according to each fixed bit rate coefficient in the fixed bit rate coefficient set, and obtains the corresponding first video quality score; encodes the sample video according to the target bit rate, and obtains the corresponding first video quality score. The encoding parameter and the corresponding second video quality score of the encoded video; according to the first encoding parameter corresponding to the target bit rate and the fixed bit rate coefficient, the set classification model is trained, and the fixed bit rate coefficient corresponding to the target bit rate is generated. Prediction model; using the fixed bit rate coefficient prediction model can quickly and effectively encode the video to be encoded into a video of the target bit rate, with high efficiency and short time.

Description

technical field [0001] The invention relates to the technical field of video processing, in particular to a method for establishing a fixed bit rate coefficient prediction model and video coding. Background technique [0002] CRF (constant rate factor, fixed rate factor or fixed rate factor) coding is a commonly used coding method. The smaller the CRF value is, the better the visual effect of the picture is. On the contrary, the larger the CRF value is, the higher the compression rate of the picture is. The quality effect is worse. For CRF encoding, if you want to get a video with a certain video quality score, you need to select different CRF modes to encode the video multiple times to obtain the video quality score corresponding to the video after each encoding. value to find the most suitable CRF mode, which is time-consuming and inefficient. However, the CRF encoding method cannot perform fast and efficient encoding of video based on a certain bit rate. SUMMARY OF TH...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Patents(China)
IPC IPC(8): H04N19/154H04N19/149H04N19/159H04N19/176
CPCH04N19/154H04N19/149H04N19/159H04N19/176
Inventor 郑龙王一
Owner SHANGHAI BILIBILI TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More