一种基于压缩域下关键帧提取算法的研究  

Based on Compressed Domain Key Frame Extraction Algorithm

作　　者：杨泉[1,2] 任小康[1] 

机构地区：[1]西北师范大学数信学院,甘肃兰州730070 [2]陇南师范高等专科学校,甘肃成县742500

出　　处：《电脑知识与技术》2009年第1期219-220,共2页Computer Knowledge and Technology

摘　　要：关键帧提取技术是视频分析和基于内容的视频检索的基础。关键帧的使用大大减少了视频索引的数据量，同时也为视频摘要和检索提供了一个组织框架。论文首先简单介绍了关键帧的特点、选取原则以及目前关键帧的提取技术，然后提出了一种基于帧自适应的关键帧提取算法，该算法无需全部解压，计算复杂度低，大大提高了提取速度。The key frame extraction technology is based on the content of the video analysis and video search. The key frame significantly reduce the use of the video index data, as well as video search and summary provides a fi＇amework for the organization. First of all, the par per briefly the key features of the frame, as well as the principle of selecting the current key frame extraction technology, and then a I frame-based adaptive key frame extraction algorithm without full decompression, low computational complexity, has greatly enhanced The speed of extraction

关 键 词：关键帧提取 MPEG视频流 DC系数 自适应 

分 类 号：TP37[自动化与计算机技术—计算机系统结构]