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

Rate distortion optimization and frame loss prediction based long reference frame selection method

A rate-distortion optimization and reference frame technology, applied in the field of video coding and decoding, can solve problems such as occupation, more storage space, and large bandwidth

Active Publication Date: 2019-04-05
成都随锐云科技有限公司 +1
View PDF4 Cites 5 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Another method is FEC. FEC provides an effective way to combat packet loss by adding redundant data. Because there is no need for retransmission or reverse channel, this method is often used in real-time or multicast applications. However, if the burst packet loss length exceeds FEC The performance of FEC can be poor when the error correction capability
In addition, redundant packets usually take up more storage space and require greater bandwidth during transmission
ARQ and FEC can reduce the negative impact of network packet loss on video quality, but due to delay and bandwidth limitations, it is still necessary to consider how to further reduce the negative impact of packet loss on video experience in practical applications

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
  • Rate distortion optimization and frame loss prediction based long reference frame selection method
  • Rate distortion optimization and frame loss prediction based long reference frame selection method
  • Rate distortion optimization and frame loss prediction based long reference frame selection method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0057] Such as figure 1 As shown, a method for selecting a long reference frame based on rate-distortion optimization and frame loss prediction described in this embodiment includes the following steps:

[0058] Step 1: First consider the end-to-end transmission and reception method, that is, the transmission end uses preset multi-reference frames, and then judges the priority of short reference and long reference, and compares the solved probability of the reconstructed frame and the relationship between it and the current encoding truth. The combined function of the distortion size between them is used to determine the target optimization rate-distortion function.

[0059] Step 2: Multiply the prediction of the lost probability of the transmitted reference frame with a step size of x away from the current coding frame by the lost frame probability to form the first item of the target optimization rate-distortion function.

[0060] Step 3: Calculate the distortion between tw...

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 rate distortion optimization and frame loss prediction based long reference frame selection method, and relates to the technical field of video coding and decoding. The method comprises the following steps that 1) the resolved probability of a reconstruction frame is compared with a function between the resolved probability and magnitude of distortion of present code to determine a target distortion optimization rate function; 2) the loss probability of a sent reference frame whose distance to the present code frame equals the step x is predicted, and frame loss probability is multiplied to form a first item of the target distortion optimization rate function; 3) magnitude of distortion between two frames when certain frame separate from the present code frame istaken as reference is calculated, and is multiplied with a Lagrange multiplier lambda to form a second item of the target distortion optimization rate function; and 4) the minimal step value of the target distortion optimization rate function is found to obtain an optimal reference frame. Thus, distortion that may be caused by the loss of the selected reference frame can be reduced, the coding efficiency can be also taken into consideration, and the user experience is improved.

Description

technical field [0001] The present invention relates to the technical field of video encoding and decoding, in particular to a method for selecting long reference frames based on rate-distortion optimization and frame loss prediction. Background technique [0002] Video communication is a commonly used communication method in modern communication, and it appears in all aspects of our lives, such as webcast, video news, video conferencing, etc. The characteristics of video information are intuitive and informative. For real-time video systems such as live broadcast or video conferencing, how to ensure real-time and efficient transmission of video streams is extremely important. In order to ensure low latency in real-time playback, there are usually only two frame types in this type of video, I and P, and B frames are not used. Existing widely used codec technologies such as H264 or HEVC usually select the previous frame as a reference frame to encode the current frame when p...

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 Applications(China)
IPC IPC(8): H04N19/147H04N19/58H04N19/19H04N19/105
CPCH04N19/105H04N19/147H04N19/19H04N19/58
Inventor 陈明宇冯文澜
Owner 成都随锐云科技有限公司