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Received:January 02, 2014 Revised:March 03, 2014
Received:January 02, 2014 Revised:March 03, 2014
中文摘要: 基于视频内容植入广告系统目的是在用户观看视频时，能实时获取与视频内容相关商品的广告咨询. 给出了系统解决方案，并分析了问题难点，提出了解决视频广告匹配问题难点的处理算法：先简单分割，然后通过直方图百分率方式二次匹配过滤后，得到分割后的图像，再利用改进的SIFT 算法进行精确匹配，从而确定当前视频图片中是否存在广告图片相似度高的商品信息. 实验表明，基于视频内容的广告植入系统中图片匹配算法在常用视频中，算法实时性能好，匹配率高.
Abstract:The purpose of video advertisement system is real-time obtainment of advertisement consultation of relative goods showed in video when users watching video. The contents of this research are the solution of system, analysis of difficult points, and solution of the difficult process on image matching with video ads. Firstly, it segments image simply. Then, it filters unmatched image twice by percentage of histogram method. At the last, it matches the image after segmenting precisely by simplified SIFT. We can receive the information whether the goods is the most similar to the image from video ads. Experiments show that this video advertisement system is real-time and possessing high matching rate on certain condition.
keywords: video advertising implantation SIFT color histogram
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基金项目:广东自然科学基金（S2013010012920）
引用文本：
刘海,曾东海.基于视频内容广告植入图片的匹配研究.计算机系统应用,2014,23(9):186-190
LIU Hai,ZENG Dong-Hai.Image Matching with Advertisement of Content-Based Video.COMPUTER SYSTEMS APPLICATIONS,2014,23(9):186-190
刘海,曾东海.基于视频内容广告植入图片的匹配研究.计算机系统应用,2014,23(9):186-190
LIU Hai,ZENG Dong-Hai.Image Matching with Advertisement of Content-Based Video.COMPUTER SYSTEMS APPLICATIONS,2014,23(9):186-190
