Image/video processing in real-time is always in high demand for the quality of video. There are several factors which cause the loss of the video content, such as the type of transmission, missing data and especially data switch. Data switch generally occurs in the alternation of the video signal, which can cause the discontinuity of data during the video data stored in buffer or memory. The current method which adopts frame difference for detecting this issue may consume many resources and memory footprint. This paper presents a method which uses the video pixel prediction to detect the freezing event. The method is implemented with a video system which employs the System-on-chip (SoC) architecture with Field Programmable Gate Array (FPGA) and other components including DDR3 ram, flash, and exchange interfaces as the main processing platform that prevents this problem through freezing detection. The result of evaluation shows that the accuracy of the proposed method is above 99%, in terms of saving more logic usage and reducing the footprint of the memory on the video system.

实时的图像/视频处理一直对视频质量有很高的要求。有几种因素会导致视频内容丢失，例如传输类型，数据丢失，尤其是数据交换。数据切换通常发生在视频信号的交替中，这可能会导致在视频数据存储在缓冲区或内存中期间导致数据不连续。当前采用帧差检测该问题的方法可能会消耗大量资源和内存占用。本文提出了一种使用视频像素预测来检测冻结事件的方法。该方法是通过视频系统来实现的，该视频系统采用片上系统（SoC）架构以及现场可编程门阵列（FPGA）和其他组件，包括DDR3内存，闪存，交换接口作为主要处理平台，可通过冻结检测来防止此问题。评估结果表明，在节省更多逻辑使用量和减少视频系统内存占用方面，该方法的准确性高于99％。