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/data - pulled images and spreadsheet of data
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/descriptor - functions for extracting descriptors
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/distance - functions fo measuring distance between descriptors
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/distance - functions for measuring distance between descriptors
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/util - util functions such as toGreyscale and EVD
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There are two types of script, ones that run a category response once (cvpr_visualsearch_*) and ones that iteratively
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@ -3431,8 +3431,18 @@ Conclusions
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\end_layout
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\begin_layout Standard
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To summarise, spatial texture techniques were found to perform better than
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exclusively colour based methods such as a global colour histogram.
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To summarise, each descriptor has varying efficacy for different applications
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and the context should be identified before selecting one over the other.
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\end_layout
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\begin_layout Standard
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Optimum internal parameters for each are data and query dependedent but
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well performing values can be obtained experimentally.
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\end_layout
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\begin_layout Standard
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Spatial texture techniques were found to perform better than exclusively
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colour based methods such as a global colour histogram.
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While the combination of both colour and texture information didn't provide
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as much of an improvement over either separately as expected, the combination
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of both colour and texture information as part of the descriptor was the
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@ -3441,14 +3451,9 @@ To summarise, spatial texture techniques were found to perform better than
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\begin_layout Standard
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The use of appropriate amounts (approximately 2%) of dimensionality reduction
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following principal component analysis provided additional performance
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increases.
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\end_layout
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\begin_layout Standard
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Following investigations into difference distance measures the L1 norm tended
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to be best performing method.
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following principal component analysis provided performance increases over
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the standard L2 norm, however following investigations into difference
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distance measures the L1 norm tended to be best performing method.
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\end_layout
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\begin_layout Standard
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