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Content Based Video Retrieval Systems

机译:基于内容的视频检索系统

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With the development of multimedia data types and available bandwidth there is huge demand of videoretrieval systems, as users shift from text based retrieval systems to content based retrieval systems.Selection of extracted features play an important role in content based video retrieval regardless of videoattributes being under consideration. These features are intended for selecting, indexing and rankingaccording to their potential interest to the user. Good features selection also allows the time and spacecosts of the retrieval process to be reduced. This survey reviews the interesting features that can beextracted from video data for indexing and retrieval along with similarity measurement methods. We alsoidentify present research issues in area of content based video retrieval systems.
机译:随着多媒体数据类型和可用带宽的发展,随着用户从基于文本的检索系统转向基于内容的检索系统,对视频检索系统的需求也很大。无论视频属性是否受到限制,提取特征的选择在基于内容的视频检索中都起着重要的作用。考虑。这些功能旨在根据用户的潜在兴趣进行选择,索引和排名。良好的特征选择还可以减少检索过程的时间和空间成本。这项调查回顾了可以从视频数据中提取出的有趣特征,以进行索引和检索以及相似性测量方法。我们还确定了基于内容的视频检索系统领域的当前研究问题。

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