Title: HAH-tree: towards a multidimensional index structure supporting different video modelling approaches in a video database management system
Authors: Kasturi Chatterjee, Shu-Ching Chen
Addresses: Distributed Multimedia Information Systems Laboratory, School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA. ' Distributed Multimedia Information Systems Laboratory, School of Computing and Information Sciences, Florida International University, Miami, FL 33199, USA
Abstract: This paper proposes a multidimensional distance-based index structure for video data which supports the three important video modelling approaches namely hierarchical unit-based modelling, feature-based modelling and video semantics modelling seamlessly within one single framework. These three modelling techniques collectively capture and contain the important aspects of the users| information need during content-based video retrieval. The index is built based on the low-level features of the video data, and the hierarchical containment relationships as well as the video semantics are introduced into the index space with an efficient data signature and a stochastic model, respectively. Efficient k-NN algorithms are proposed to emulate popular content-based video retrieval approaches in a multidimensional distance-based index structure. Extensive experimental results demonstrate the capability of the index structure to generate relevant query results with low computational overhead.
Keywords: multidimensional index structure; hierarchical containment relationships; video data models; video database management; video modelling; unit-based modelling; feature-based modelling; video semantics modelling; content-based video retrieval.
International Journal of Information and Decision Sciences, 2010 Vol.2 No.2, pp.188 - 207
Available online: 27 Feb 2010 *Full-text access for editors Access for subscribers Purchase this article Comment on this article