Corpus-Based Thesaurus Construction for Image Retrieval in ...

More documents

Recommendations

Info

Cued SentenceContamination problems are not unique to firearms and explosives residues but applyequally to all forms of trace evidence such as fibres, paint, glass and DNA.TAGGERTagged Cued SentenceContamination/NNP problems/NNS are/VBP not/RB unique/JJ to/TO firearms/NNS and/CCexplosives/NNS residues/NNS but/CC apply/VB equally/RB to/TO all/DT forms/NNS of/DTtrace/NN evidence/NN such/JJ as/IN fibres/NNS ,/, paint/NN ,/, glass/NN and/CC DNA/NNP./.PARSERParsed Sentenceevidence {trace evidence }trace evidence {fibre, paint, glass, DNA}XML
to associate the keywords used in the description of the image with the vision-specificfeatures [29]. These keywords are extracted automatically from the description usinga combination of TF*IDF and weirdness [17] measures as well as filtering carried outusing the domain-specific thesaurus. Automation is also a key aspect in SoCIS asmost of its features are fully automated. Text analysis and terminology extraction inSOCIS has been facilitated by the integration of two existing systems: System Quirk[17] and GATE [28], which gives SoCIS a powerful text processing mechanismthrough the combination of a term based statistical approach with a semantic basedapproach. This system was evaluated using 66 scene of crime images used in thetraining of scene of crime officers. Experts in training as well as serving officersprovided descriptions of the images, and these texts and images formed the input forthe system.A display tool has been developed that can be used to visualize the thesaurus forvalidating and editing purposes. The XML generated by the method described in theprevious section is parsed to display the hierarchies in a tree structure. The user canadd, delete or move a node (with its sub-hierarchy unless it is a leaf node) as well asadd synonyms. This display tool has been integrated into the SoCIS search interface, ascreen shot of which is shown in figure 4. The user can perform interactive queryexpansion by selecting or deleting nodes as appropriate.Fig. 4. Screen shot of the search interface4 Conclusions and Future WorkContent-based image retrieval systems increasingly use keywords collateral to animage for indexing and retrieval. One outstanding problem is that of building thesauri
Page 1 and 2: Corpus-Based Thesaurus Construction
Page 3 and 4: lexicographers, of which there are
Page 5 and 6: oadly collateral such as the report
Page 7 and 8: The arguments of Halliday and Marti
Page 9 and 10: analysis of compound terms may perh
Page 11: [R] ¢ such as¤¤a single correct
Page 15: Labeling and Classification of Phot

Corpus-Based Thesaurus Construction for Image Retrieval in ...

You also want an ePaper? Increase the reach of your titles

Delete template?

Save as template?