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Source publication
Recently, the proliferation of the web and digital photography has resulted in the need of a distributed storage system for managing large scale data and an indexing technique for supporting efficient nearest neighbor search on high-dimensional data. One of the most challenging areas in the fields of a distributed data managing and image processing...
Citations
Recently, video data has attracted many interest. That is the reason why efficient indexing schemes are required to support the content-based retrieval of video data. But most indexing schemes are not suitable for indexing a high-dimensional data except Hybrid Spill-Tree. In this paper, we propose an efficient high-dimensional indexing scheme to support the content-based retrieval of video data. For this, we extend Hybrid Spill-Tree by using a newly designed clustering technique and by adopting a signature method. Finally, we show that proposed signature-based high dimensional indexing scheme achieves better retrieval performance than existing M-Tree and Hybrid Spill-Tree.
