A text image displayed on a smart device is composed of red, green and blue (RGB) sub-pixels having strong correlation among them. Also, it shows a very good performance while using it in two low delay rate control algorithms.Ī smart device such as a television, tablet and smartphone, often displays a compound image consisting of various types of sub-images, including texts and pictures. According to the results, the model performs with high degrees of accuracy and fitness in terms of the average estimation error and the coefficient of determination criteria, respectively. However, these functions depend on the size and mode of the coding units.
The experimental results show that the model parts are regular functions of the quantization parameter. One part depends on the coding complexity of video content and the second part is a function of the encoder RD operating point. The proposed model is adapted for different sizes and modes of the coding units and it consists of two parts. In this paper, a new content-based intra RD model for HEVC-SCC is proposed. The existing RD models are not content-based or do not support the new encoding modes. The RD model must be content-based to be able to independently encode the intra frames and abrupt frames. Therefore, a proper intra rate-distortion (RD) model is required to support these encoding modes. In SCC, a large percentage of bits is consumed by periodic intra frames and also by the abrupt-change frame changes in which all or most of the coding units are coded as intra modes (e.g.
New encoding modes such as Intra Block Copy (IBC) and Palette modes have been introduced to the SC coding (SCC) extension of the high-efficiency video coding (HEVC) standard. Screen content (SC) videos have different characteristics compared to camera-captured videos.
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