AVC parallel coding method used for low power consumption applications

Abstract

The invention discloses an AVC parallel coding method used for low power consumption applications. Image coding is performed in two steps, wherein the first step is prediction and semantic element calculation, and the second step is language element entropy coding. By adopting a row macro block parallel coding method, the requirement of a coding engine for clock frequency can be lowered so as to lower coding power consumption, meanwhile, the data reuse level in the coding process can be increased substantially, an external data access bandwidth is reduced, and the power consumption of a system also can be lowered to meet the requirements of the low power consumption applications. On the other hand, the complexity of an independent macro block row operation (the first step) and the language element entropy coding is basically not affected by a parallel operation, therefore, the algorithm performance is rarely reduced, and the complexity is rarely increased.

Description

technical field [0001] The invention belongs to the field of video coding and decoding, and relates to a low-power H.264 / AVC parallel coding method, in particular to two-step coding, coding parallelism with a macro block row (Marco-Block Row) as the basic unit, and coding process approach. Background technique [0002] The H.264 / AVC standard has been accepted by the industry for its excellent image compression performance. However, as the image format to be encoded increases from CIF to D1, 720P, 1080P and even 4Kx2K (Ultra HD), the H.264 encoding has a higher The amount of calculation has become a major problem in some fields with high requirements for low power consumption. The method used by the industry to reduce H.264 encoding power consumption in the algorithm implementation stage is to reduce the hardware / processor clock frequency during the encoding process through parallel processing, and then reduce the hardware operating voltage to reduce system power consumption...

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Problems solved by technology

For example, in the motion search process, several block modes / several search points can be operated simultaneously, thereby shortening the encoding time of macroblocks, but the parallelism of this method is limited, because the improvement of this parallelism will lead to the complexity of hardware / software The sharp increase in speed is not conducive to the reduction of encoding power consumption. With the increase of the size of the video to be encoded and the increase of the frame rate, this parallel method is unsustainable, and the software encoding method based on CPU / GPU cannot use multi-core resources at the same time. It restricts the improvement of encoding performance brought about by the increase of hardware resources. By increasing the clock of CPU / GPU, the performance of the encoder can be increased, but it will bring about the negative effect of a significant increase in power consumption.

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