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save(Image)
- Method in class FeatureManager.
FeatureManager
Saves the features of a given image in the features DB.
saveFeatures(Image)
- Method in class FeatureManager.
FeatureManager
Saves the features of a given image in the features DB.
saveFeatures(Image)
- Method in class FeatureManager.
FeatureManagerMySQL
Saves the features of a given image in the features DB.
saveFeatures(Image)
- Method in class FeatureManager.
WindsurfFeatureManagerTxt
Saves the features of a given image in the features file.
ScoredResultImage
- Class in
QueryProcessor.SF
Class representing the result image of a query with a scoring function (includes a score).
ScoredResultImage(ImageID, double)
- Constructor for class QueryProcessor.SF.
ScoredResultImage
Basic constructor.
ScoringFunction
- Class in
QueryProcessor.SF.ScoringFunction
Abstract class modelling a scoring function.
ScoringFunction()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunction
ScoringFunctionAVG
- Class in
QueryProcessor.SF.ScoringFunction
Class for computing the average scoring function using the optimal assignment algorithm.
ScoringFunctionAVG()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunctionAVG
ScoringFunctionAVGGreedy
- Class in
QueryProcessor.SF.ScoringFunction
Class for computing the average scoring function using the hill climbing assignment algorithm.
ScoringFunctionAVGGreedy()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunctionAVGGreedy
ScoringFunctionEMD
- Class in
QueryProcessor.SF.ScoringFunction
Class for computing the EMD scoring function using the optimal transportation algorithm.
ScoringFunctionEMD()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunctionEMD
ScoringFunctionIRM
- Class in
QueryProcessor.SF.ScoringFunction
Class for computing the IRM scoring function using the greedy transportation algorithm.
ScoringFunctionIRM()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunctionIRM
ScoringFunctionMIN
- Class in
QueryProcessor.SF.ScoringFunction
Class for computing the MIN scoring function.
ScoringFunctionMIN()
- Constructor for class QueryProcessor.SF.ScoringFunction.
ScoringFunctionMIN
selectPixels(GenericFilterOutput)
- Method in class FeatureExtractor.Clustering.KMeans.
KMeansClustering
Abstract method to extract the pixels to be clustered from the output of the filter.
selectPixels(GenericFilterOutput)
- Method in class FeatureExtractor.Clustering.Windsurf.
WindsurfKMeansClustering
method to extract the pixels to be clustered from the output of the filter.
set(int, int, double)
- Method in class Utils.
Matrix
Modifies a matrix element.
setID(ImageID)
- Method in class Document.
Region
Modifies the region ID.
setIndexPath(String)
- Static method in class Utils.Constants.
WindsurfProperties
Modifies the base path for index files.
setPropFile(String)
- Static method in class Utils.Constants.
WindsurfProperties
Modifies the name of the file containing other constants.
setPropSize(int)
- Static method in class Utils.Constants.
WindsurfProperties
Modifies the number of constants in the properties file.
setPWeight(int, double)
- Method in class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Sets the weight for the specified feature in P
setPWeights(double[])
- Method in class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Sets the weights of all features in P
setQWeight(int, double)
- Method in class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Sets the weight for the specified feature in Q
setQWeights(double[])
- Method in class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Sets the weights of all features in Q
setRepresentativePoint(ClusteringFeatures)
- Method in class FeatureExtractor.Clustering.
Cluster
Modifies the cluster representative point.
setSize(int)
- Method in class Document.
Image
Modifies the size of the image (i.e., its total number of pixels).
setSize(int)
- Method in class Document.
Region
Modifies the size of the region (i.e., the number of its pixels).
setStartPath(String)
- Static method in class Utils.Constants.
WindsurfProperties
Modifies the base path.
sf
- Variable in class QueryProcessor.SF.
QuerySF
The scoring function to be used with this query
Signatures
- Class in
QueryProcessor.SF.ScoringFunction.EMD
This class represents to signatures for which a distance should be calculated.
Signatures(Signatures)
- Constructor for class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Creates a new instance of Signatures (copy constructor)
Signatures(double[][])
- Constructor for class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Creates a new instance of Signatures
Signatures(double[][], double[], double[])
- Constructor for class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Creates a new instance of Signatures
Signatures(Object[], Object[], GroundDistance)
- Constructor for class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Creates a new instance of Signatures
Signatures(Object[], Object[], GroundDistance, Object, Object)
- Constructor for class QueryProcessor.SF.ScoringFunction.EMD.
Signatures
Creates a new instance of Signatures
SimpleHaar
- Class in
FeatureExtractor.Filter.Wavelets
Class implementing the computation of the Haar wavelet.
SimpleHaar()
- Constructor for class FeatureExtractor.Filter.Wavelets.
SimpleHaar
Basic constructor.
size
- Variable in class Document.
Image
The number of pixels in this image
size()
- Method in class Document.
ImageID
The number of elements in the ID.
size()
- Method in class Document.
ImageIDnumerical
The number of elements in the ID.
size
- Variable in class Document.
Region
The number of pixels in this region
size()
- Method in class FeatureExtractor.Clustering.
Cluster
Returns the size of the cluster, i.e., the number of its pixels.
size()
- Method in class FeatureExtractor.Clustering.
ClusteringFeatures
Returns the number of features for this object.
size()
- Method in class FeatureExtractor.Clustering.
ClusteringOutput
Returns the number of clusters obtained from the clustering algorithm.
size()
- Method in class FeatureExtractor.Clustering.Windsurf.
WindsurfClusteringFeatures
Returns the number of features for this object.
size()
- Method in class QueryProcessor.Skyline.
SkylineResultLayer
Returns the number of images in this layer.
size()
- Method in class QueryProcessor.Skyline.
SkylineResultMultiLayer
Returns the number of layers.
SkylineResultImage
- Class in
QueryProcessor.Skyline
Class representing the result image of a Skyline query.
SkylineResultImage(ImageID, int)
- Constructor for class QueryProcessor.Skyline.
SkylineResultImage
Basic constructor.
SkylineResultLayer
- Class in
QueryProcessor.Skyline
Class representing a layer of uncomparable images.
SkylineResultLayer(int)
- Constructor for class QueryProcessor.Skyline.
SkylineResultLayer
Basic constructor.
SkylineResultMultiLayer
- Class in
QueryProcessor.Skyline
Class representing a sequence of layers of uncomparable images (images in layer
i+1
are dominated by at least one image in layer
i
).
SkylineResultMultiLayer()
- Constructor for class QueryProcessor.Skyline.
SkylineResultMultiLayer
Basic constructor.
Skyset
- Class in
QueryProcessor.Skyline.Skyset
Class implementing the Sky-set algorithm for solving a Skyline query.
Skyset(Image, FeatureManager, SortedAccess)
- Constructor for class QueryProcessor.Skyline.Skyset.
Skyset
Basic constructor.
solve(double[], boolean)
- Method in class Utils.
Matrix
Solves a linear problem based on this matrix and a given array using the Gauss algorithm.
solve(boolean)
- Method in class Utils.
Matrix
Solves a linear problem based on a complete matrix.
SortedAccess
- Class in
QueryProcessor.Utils
Abstract class for the management of sorted accesses to the region index.
SortedAccess(Image)
- Constructor for class QueryProcessor.Utils.
SortedAccess
Basic constructor.
SortedAccessMtree
- Class in
QueryProcessor.Utils
Abstract class for the management of sorted accesses to the region M-tree.
SortedAccessMtree(String, Image)
- Constructor for class QueryProcessor.Utils.
SortedAccessMtree
Basic constructor.
SortedAccessMtreeRoundRobin
- Class in
QueryProcessor.Utils
Class for the management of sorted accesses to the region M-tree using the round robin policy.
SortedAccessMtreeRoundRobin(String, Image)
- Constructor for class QueryProcessor.Utils.
SortedAccessMtreeRoundRobin
Basic constructor.
SortedAccessResult
- Class in
QueryProcessor.Utils
Abstract class representing the result of a sorted access to the region index.
SortedAccessResult(ScoredResultImage, int)
- Constructor for class QueryProcessor.Utils.
SortedAccessResult
Basic constructor.
START_PATH
- Static variable in class Utils.Constants.
WindsurfProperties
Base path for relative image addresses
sum(ClusteringFeatures)
- Method in class FeatureExtractor.Clustering.
ClusteringFeatures
Adds the features of this object to those of a given object.
sum(ClusteringFeatures)
- Method in class FeatureExtractor.Clustering.Windsurf.
WindsurfClusteringFeatures
Adds the features of this object to those of a given object.
sum(Matrix)
- Method in class Utils.
Matrix
Sums this matrix to a given one.
switchRows(int, int)
- Method in class Utils.
Matrix
Switches two rows.
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