视频点播系统中高效的视频相似度搜索策略

2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology Pub Date : 2009-12-04 DOI:10.1109/ICBNMT.2009.5348473

Cao Zheng, Zhu Ming

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引用次数: 9

摘要

近年来，视频点播系统和视频共享网络越来越受欢迎。视频相似度搜索是基于内容的视频检索在web服务和研究领域的重要内容。对于大型视频数据库中可扩展的快速相似度搜索，目前还没有令人满意的搜索方法。针对视频相似度度量和大数据库快速搜索这两个具有挑战性的问题，提出了一种面向视频点播系统的高效视频相似度搜索策略。根据图像直方图和视频的时空特征，计算出紧凑的视频签名。视频相似度是通过计算视频签名距离来衡量的。针对可扩展性的计算需求，提出了一种基于索引聚类的聚类索引表搜索方法。在大型数据库中进行的查询测试表明，该方法对相似视频的搜索是高效有效的。

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An efficient video similarity search strategy for video-on-demand systems

The video-on-demand systems and video share web are more and more popular in recent years. Video similarity search for content-based video retrieval is important in web service and research field. There is still no satisfying search method for scalable fast similarity search in large video database. In order to solve two challenging problems: video similarity measure and fast search method in large database, a novel efficient video similarity search strategy for video-on-demand systems is proposed in this paper. A compact video signature was computed according to image histogram and spatial-temporal features of video. The video similarity is measured by the computation of the distance of video signature. For the scalable computing requirement, a new search method based on Clustering Index Table was presented by index clustering. The experimental results from the query tests in large database show this method is highly efficient and effective for similar video search.

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2009 2nd IEEE International Conference on Broadband Network & Multimedia Technology

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