Parameter adaptive multi-dimensional bit rate control method based on video content characteristics

Abstract

The invention relates to the field of video decoding, in particular to a parameter adaptive multi-dimensional code rate control method based on video content characteristics. The method includes: determining the optimal initial encoding frame rate according to the channel bandwidth and the initial frame complexity of the video sequence; determining the update period of the model parameters according to the dynamically transformed video, extracting the time-space complexity of the video from the sliding window of the current update period, and combining The accuracy of the code rate control of the current update cycle determines the length of the next update cycle, and updates the multi-dimensional code rate control model parameters and encoding parameters; the parameter adaptive multi-dimensional code rate control method of the video content characteristics proposed by the present invention It is superior to similar international related methods, and can effectively improve subjective quality and objective quality, especially for video sequences with high temporal and spatial complexity; at the same time, it can also slightly reduce the complexity of calculation.

Description

technical field [0001] The present invention relates to the field of video decoding, in particular to a code rate control method in the field of video coding technology, especially a parameter adaptive multi-dimensional code rate control method based on video content characteristics, which can be applied to multiple integrated heterogeneous networks with large bandwidth A multi-dimensional code rate control method for a network video encoder when the range changes dynamically. Background technique [0002] With the development of multimedia communication and network technology, people's demand for video applications is becoming more and more extensive, and video information is playing an increasingly important role in people's lifestyles and social development; video coding and compression technology is the key to video storage, transmission It is the core technology of applications such as digital TV, video surveillance, and network video; bit rate control technology is one...

AI Technical Summary

Problems solved by technology

[0003] The existing code rate control methods are all based on the adjustment of quantization parameters to balance the code stream, and the existing methods generally can only provide one quality level of video output. This method is not flexible enough for applications with large bandwidth fluctuations, and cannot be used in The comprehensive video quality is optimal under the condition of real-time bandwidth and low bit rate; multi-dimensional bit rate control is proposed under this background, multi-dimensional bit rate control will organically combine the basic means of bit rate adjustment, and will traditional bit rate conversion (change Quantization step size), spatial resolution (video space size), time resolution (frame rate) and other bit rate adjustment methods are combined to complete the adaptive adjustment of the video stream; because the multi-dimensional bit rate control determines the size of each dimension depends on Depending on the code rate for a period of time, it does not need to be divided into several levels in practical applications, which can effectively solve the problems of SVC computational complexity and high redundancy

[0004] But at present, multi-dimensional bit rate control technology is still in its infancy, and more expansive research needs to be carried out. The research on its key technologies has important practical significance for the development of the video industry; at present, multi-dimensional bit rate control methods exist The following problems: (1) The current mainstream methods, such as Q-R-TQ, etc., are based on the entire video information or a fixed period when calculating video content information, but in practical applications, the video content is time-varying. The accuracy of the model coefficients obtained by the sequence is not high, which is not conducive to real-time transmission; (2) The selection of the initial frame rate plays an important role in the multi-dimensional code rate control; if the selected initial frame rate is too large, only the encoding after the initial frame The actual number of bits consumed will exceed the pre-allocated target number of bits, so that the number of bits left for subsequent encoded frames will be very small, which will reduce the quality of the reconstructed video image; on the contrary, choosing too small initial parameters will not only reduce the image quality Decrease, and it will cause a waste of bandwidth resources; delay a few frames to approach real-time communication without affecting the vision, but currently there are almost no relevant methods to pay attention to the selection of the initial frame rate from the perspective of real-time transmission

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