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 [BibTeX] [Marc21]
Video Indexing and Similarity Retrieval by Largest Common Subgraph Detection using Decision Trees
Type of publication: Idiap-RR
Citation: SBV00TR
Number: Idiap-RR-15-2000
Year: 2000
Institution: IDIAP
Abstract: While the largest common subgraph (LCSG) between a query and a database of models can provide an elegant and intuitive measure of similarity for many applications, it is computationally expensive to compute. Recently developed algorithms for subgraph isomorphism detection take advantage of prior knowledge of a database of models to improve the speed of online matching. This paper presents a new algorithm based on similar principles to solve the largest common subgraph problem. The new algorithm significantly reduces the computational complexity of detection of the LCSG between a know database of models, and a query given online.
Userfields: ipdmembership={vision},
Projects Idiap
Authors Shearer, Kim
Bunke, Horst
Venkatesh, Svetha
Crossref by SBV00
Added by: [UNK]
Total mark: 0
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