基于信息理论的视频内容检索

Hadi Yarmohammadi, M. Rahmati, Shahram Khadivi
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引用次数: 12

摘要

在过去的几十年里,大量的视频档案被创建,多媒体的快速发展给图像处理领域带来了新的挑战。需要一个可靠的系统来自动化处理这些大量数据。视频分析分为低级和高级两个层次。针对视频内容分析中存在的诸多问题,本文对基于内容的视频分析进行了分析。我们提出的方法是基于信息论的。该系统主要包括三个部分:镜头边界检测、分层视频摘要、目标视频检索和索引。在TRECVID2006数据库上对系统性能进行了评估,结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content based video retrieval using information theory
During the last decades a large set of video archives is created and rapidly multimedia growth creates new challenge in the image processing world. A reliable system is needed to automate the process of this large amount of data. Video analyses are done in two different levels, low level and high level. There are many problems in video content analysis and in this work we analyzed content based video analysis. Our proposed method is based on Information theory. These systems consist of three main parts which includes: Shot Boundary Detection, Hierarchical video summarization, retrieve and index target video. System performance is evaluated on TRECVID2006 Database, results shown the usefulness of the proposed method.
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