Spatial enhancement layer code rate control realization method for scalable video coding

Abstract

The invention discloses a spatial enhancement layer code rate control realization method for scalable video coding. The method comprises the following steps of: adaptively setting initial quantization parameter (QP) values of I, P and B frames of a first code; calculating the coding complexity and a mean absolute difference (MAD) value of each frame according to an actual coded bit number; after the coding of a group of pictures (GOP) is finished, calculating the weight of the image frame on temporal and spatial levels according to the actual coded bit number of the whole GOP, the coding complexity of each frame, and the temporal and spatial levels of each frame; and for a key frame, calculating quantization parameters and performing coding by utilizing an allocated bit number and a secondary rate-distortion (R-D) model, and for a non-key frame, determining the QP of the non-key frame by utilizing the QPs of the two key frames closest to the non-key frame and a time domain to which the two key frames closest to the non-key frame belong. By the spatial enhancement layer code rate control realization method for the scalable video coding, spatial enhancement layer code rate control for the scalable video coding can be realized, and the shortcoming of only basic layer code rate control of the scalable video coding is overcome.

Description

Technical field [0001] The present invention relates to video coding, in particular to a method for implementing spatial enhancement layer rate control of scalable video coding. Background technique [0002] Scalable Video Coding is an extension of the H.264 / AVC standard developed by the Joint Video Group JVT organization. Under SVC, a video sequence can be encoded into a base layer and multiple enhancement layers. The base layer has the lowest video quality, and the enhancement layer can improve the quality of the base layer. With the development of video coding standards, rate control as an important technology has also been extensively developed. Rate control technology is an indispensable part of the application of video communication systems. It can ensure that the video data is fully transmitted in the channel. Utilize bandwidth. The purpose of bit rate control is to make the bit rate meet the requirements of the channel and storage media and improve the video quality as ...

AI Technical Summary

Problems solved by technology

At present, the above-mentioned algorithms cannot be applied to the scalable video coding technology, so that the existing SVC coder does not realize the code rate control of the spatial domain enhancement layer.

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