Title:
Using Spatial Structure in the Associative Retrieval of 2-D Line Drawings

dc.contributor.author Yaner, Patrick W. en_US
dc.contributor.author Goel, Ashok K.
dc.date.accessioned 2005-06-17T17:42:13Z
dc.date.available 2005-06-17T17:42:13Z
dc.date.issued 2002 en_US
dc.description.abstract We consider the problem of associative image retrieval, focusing on retrieval of 2-D line drawings by example. We represent 2-D line drawings as semantic networks of spatial elements and relations among them. We describe a process for retrieving the drawings based on a structural analogy between the query and the stored images. We then present several methods of retrieving the drawings: the first family methods uses logical unification and resolution to accomplish the matching; the second family of methods heuristically prunes the stored drawings and then does the resolution and unification on the remaining drawings; two more methods treat the retrieval problem as a constraint satisfaction problem and use common CSP techniques for solving it; and the last two methods combine the heuristic step of the second method with the CSP technique of the third and fourth. We report on experimental results that compare the performance of these methods on computer-based libraries of drawings. A surprising result of our work is that for the fastest of these methods two stage retrieval appeared to offer no benefit over one stage retrieval. en_US
dc.format.extent 248143 bytes
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/6557
dc.language.iso en_US
dc.publisher Georgia Institute of Technology en_US
dc.relation.ispartofseries CC Technical Report; GIT-CC-02-70 en_US
dc.subject Associative image retrieval
dc.title Using Spatial Structure in the Associative Retrieval of 2-D Line Drawings en_US
dc.type Text
dc.type.genre Technical Report
dspace.entity.type Publication
local.contributor.author Goel, Ashok K.
local.contributor.corporatename College of Computing
local.relation.ispartofseries College of Computing Technical Report Series
relation.isAuthorOfPublication 986c5440-b322-4b1d-b6fe-fbc68f752f7f
relation.isOrgUnitOfPublication c8892b3c-8db6-4b7b-a33a-1b67f7db2021
relation.isSeriesOfPublication 35c9e8fc-dd67-4201-b1d5-016381ef65b8
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