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标 题: MFI-Tree: An Effective Multi-feature Index Structure for Weighted Query Application
作 者: Yunfeng He, Junqing Yu
会议 / 期刊: Computer Science and Information System (SCI 收录期刊),7(1): 139-151 (SCI和EI 收录)
发 表 时 间: 2010年
下 载 地 址: 点击下载
论文摘要
Multi-Feature Index Tree (MFI-Tree), a new indexing structure, is proposed to index multiple high-dimensional features of video d
ata for video retrieval through example. MFI-Tree employs tree structure which is beneficial for the browsing application, and re
trieves the last level cluster nodes in retrieval application to improve the performance. Aggressive Decided Distance for kNN (AD
D-kNN) search algorithm is designed because it can effectively reduce the distance to prune the search space. Experimental result
s demonstrate that the MFITree and ADD-kNN algorithm have the advantages over sequential scan in performance.

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