An artificial intelligence-based media picture rendering optimization method and system
By converting the video stream to RGB format and performing YUV data processing, distinguishing between keyframe and non-keyframe encoding, and combining user visual focus detection for local fine-tuning and global blur rendering, the high computational cost and low efficiency of existing technologies are solved, achieving efficient and personalized media image rendering.
CN119562120BActive Publication Date: 2026-05-29ZHUZHOU HUATONG TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ZHUZHOU HUATONG TECH
- Filing Date
- 2024-11-18
- Publication Date
- 2026-05-29
Smart Images
Figure CN119562120B_ABST
Abstract
The application relates to the technical field of picture rendering, in particular to a media picture rendering optimization method and system based on artificial intelligence. The method comprises the following steps: acquiring a terminal video stream; performing RGB format conversion on the terminal video stream to generate an RGB type frame image set; performing pixel block division on the RGB type frame image set to generate an RGB pixel matrix block; performing color space accelerated conversion on the RGB pixel matrix block to generate a YUV cache data matrix; sending the YUV storage data matrix to a DSP internal processing unit to select key frames, thereby obtaining YUV key video frame data and YUV non-key video frame data; and performing intra-frame encoding on the YUV key video frame data to generate YUV key frame encoding data. Through optimized data processing, transmission and rendering and in combination with user visual focus analysis, the efficiency of media picture rendering is improved.
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