Video indexing and similarity retrieval by largest common subgraph detection using decision trees Shearer, Kim, Bunke, Horst and Venkatesh, Svetha 2001, Video indexing and similarity retrieval by largest common subgraph detection using decision trees, Pattern recognition, vol. 34, no. 5, pp. 1075-1091, doi: 10.1016/S0031-3203(00)00048-0. Attached Files Name Description MIMEType Size Downloads venkatesh-videoindexing-2001.pdf Published version application/pdf 349.01KB 429 Title Video indexing and similarity retrieval by largest common subgraph detection using decision trees Author(s) Shearer, Kim Bunke, Horst Venkatesh, Svetha orcid.org/0000-0001-8675-6631 Journal name Pattern recognition Volume number 34 Issue number 5 Start page 1075 End page 1091 Total pages 17 Publisher Pergamon Place of publication London, England Publication date 2001-05 ISSN 0031-3203 1873-5142 Keyword(s) decision tree graph matching similarity retrieval video indexing Summary 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 on-line 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 known database of models, and a query given on-line. Language eng DOI 10.1016/S0031-3203(00)00048-0 Field of Research 080305 Multimedia Programming Socio Economic Objective 890205 Information Processing Services (incl. Data Entry and Capture) HERDC Research category C1.1 Refereed article in a scholarly journal Copyright notice ©2001, Pattern Recognition Society Free to Read? Yes Persistent URL http://hdl.handle.net/10536/DRO/DU:30044293 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Open Access Collection Related Links Link Description Connect to published version (restricted access) Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au. Versions Version Filter Type Thu, 05 Apr 2012, 16:04:08 EST Wed, 18 Apr 2012, 14:21:22 EST Mon, 30 Apr 2012, 10:37:47 EST Fri, 13 Jun 2014, 13:45:23 EST Sat, 17 Jun 2017, 03:10:06 EST Tue, 05 Dec 2017, 12:30:57 EST Fri, 07 Sep 2018, 15:50:34 EST Filtered Full Citation counts:   Cited 50 times in TR Web of Science Cited 59 times in Scopus Search Google Scholar Access Statistics: 563 Abstract Views, 429 File Downloads  -  Detailed Statistics Created: Thu, 05 Apr 2012, 16:04:08 EST

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