Fast Intra Prediction Mode Decision Algorithm for Screen Content Video

• 1、School of Computer Science (National Pilot Software Engineering School), Beijing University of Posts and Telecommunications, Beijing 100876, China

Abstract：With the rapid development of network technology, the volume of video data has experienced explosive growth, making video coding technology particularly crucial. Video coding technology compressesFast Intra PreFast Intra Prediction Mode Decision Algorithm for Screen Content Videodiction Mode Decision Algorithm for Screen Content Video video data, enabling videos to be transmitted and stored within limited bandwidth and storage space. However, existing video coding technologies are mainly optimized for natural images, resulting in deficiencies in the compression efficiency and visual quality of screen content videos. This paper aims to analyze the intra prediction mode decision algorithm of the VP9 encoder and proposes a fast intra prediction mode decision algorithm for screen content videos based on the Convolutional Neural Network (CNN) and the characteristics of screen content. This algorithm meets the real-time requirements while ensuring low quality loss, effectively improving the coding efficiency and visual quality. Firstly, this paper reviews the background and research objectives of video coding technology. Subsequently, it elaborates on the analysis of the intra prediction mode decision algorithm of the VP9 coding standard and presents an improvement scheme. Through experimental verification, the algorithm proposed in this paper reduces the computational complexity while maintaining the image quality of the encoded video. Compared with existing intra prediction mode decision algorithms, it demonstrates excellent performance.

Keywords： Computer applications video compression screen content coding convolutional neural network