A method for complexity control using predictive mode in hevc coding

Abstract

The invention provides a method for complexity control in HEVC coding by employing a prediction mode. The method includes following steps: performing statistics on the complexity of each coding unit prediction mode in a first GOP, calculating the ratio of the complexity of each prediction mode, and obtaining different thresholds through different coding unit prediction modes; distributing target complexities to each frame in a to-be-coded GOP in an average manner; and distributing the complexities to remaining coding tree units in an average manner, and updating the remaining complexities after accomplishment of coding, wherein each coding tree unit selects combination of the coding unit prediction modes according to the distributed complexity. According to the method, the introduction of extra complexity is avoided, special training video sequences are not needed, direct coding can be performed on any video, the dynamic range of complexity control is large, the fluctuation is small, and complexity control in a certain range of GDP grade can be realized.

Description

technical field [0001] The invention belongs to the field of video information compression, and in particular relates to a method for controlling complexity using a prediction mode in HEVC coding. Background technique [0002] Nowadays, smart mobile devices, such as smart phones and smart tablets, are becoming more and more popular. With the proliferation of such devices, cameras on smartphones and tablets have made video shooting easier and easier. Massive video content is generated by people, and this traffic has caused a heavy burden on mobile networks, and this traffic is still expanding rapidly. In this situation, the HEVC video coding standard for high-efficiency video compression was proposed. Compared with the previous generation of video coding standard AVC / H.264, HEVC can save nearly 50% of the code stream, which can greatly reduce the impact of video on the network. With the pressure of bandwidth, it is foreseeable that HEVC will become the most important video ...

AI Technical Summary

Problems solved by technology

[0005] However, the above patents: 1. Due to the introduction of the regional saliency detection algorithm, the coding complexity has increased; 2. This patent requires at least 3 video sequences as training, which must be trained before use, and the application is limited

[0006] While using a large number of new technologies, HEVC can achieve good compression performance, but at the same time the computational complexity is very high

Especially for the 33 prediction mode types specified in the HEVC coding standard, the encoder needs to calculate and compare all these types of prediction modes, which consumes a lot of calculations

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