MFI-tree: An effective multi-feature index structure for weighted query application

Multi-Feature Index Tree (MFI-Tree), a new indexing structure, is proposed to index multiple high-dimensional features of video data for video retrieval through example. MFI-Tree employs tree structure which is beneficial for the browsing application, and retrieves the last level cluster nodes in retrieval application to improve the performance. Aggressive Decided Distance for kNN (ADD-kNN) search algorithm is designed because it can effectively reduce the distance to prune the search space. Experimental results demonstrate that the MFITree and ADD-kNN algorithm have the advantages over sequential scan in performance.

• Type: Journal
• Year: 2010
• Where: COMSIS
• Authors: Yunfeng He, Junqing Yu
• Keywords: Applied Computing, COMSIS 2010, Level Cluster, Multi-Feature Index Tree, Retrieval Application