MINDEX: An efficient index structure for salient-object-based queries in video databases
Document Type
Conference Proceeding
Publication Date
12-1-2004
Abstract
Several salient-object-based data models have been proposed to model video data. However, none of them addresses the development of an index structure to efficiently handle salient-object-based queries. There are several indexing schemes that have been proposed for spatiotemporal relationships among objects, and they are used to optimize times-tamp and internal queries, which are rarely used in video databases. Moreover, these index structures are designed without consideration of the granularity levels of constraints on salient objects and the characteristics of video data. In this paper, we propose a multilevel index structure (MINDEX) to efficiently handle the salient-object-based queries with different levels of constraints. We present experimental results showing the performance of different methods of MINDEX construction. © Springer-Verlag 2004.
Identifier
18744365548 (Scopus)
Publication Title
Multimedia Systems
External Full Text Location
https://doi.org/10.1007/s00530-004-0137-4
ISSN
09424962
First Page
56
Last Page
71
Issue
1
Volume
10
Recommended Citation
Chen, Lei; Özsu, M. Tamer; and Oria, Vincent, "MINDEX: An efficient index structure for salient-object-based queries in video databases" (2004). Faculty Publications. 20087.
https://digitalcommons.njit.edu/fac_pubs/20087
