论文部分内容阅读
为解决现有数字视频检索算法中存在的效率不高,在实际应用中存在局限性等问题,提出了一种新型的I帧快速匹配搜索算法。该算法充分研究了MPEG(moving picturesexperts group)码流的结构特点和统计特性,提高了I帧搜索算法定位的准确性;并且使用自适应滤波算法对视频序列I帧的位置进行预测,加速了I帧匹配搜索的过程,提高了I帧搜索算法的效率。仿真实验证明,该算法在效率和视频检测定位准确性方面都优于现有方法;此外,该算法既能保证质量,且计算复杂度不高,经编程实现,具有较强的实用价值。
In order to solve the existing problems of low efficiency and limited application in digital video retrieval algorithms, a novel I-frame fast matching search algorithm is proposed. The algorithm fully studies the structure and statistical characteristics of the moving picturesexperts group (MPEG) stream and improves the accuracy of the positioning of the I-frame search algorithm. The adaptive filtering algorithm is used to predict the position of the I-frame of the video sequence, and the I Frame matching search process, improve the efficiency of I-frame search algorithm. Simulation results show that the proposed algorithm is superior to the existing methods in terms of efficiency and accuracy of video detection and localization. In addition, the proposed algorithm is of high quality and computational complexity, and has good practical value through programming.