A B C D E F G H I J K L M N O P Q R S T U W

S

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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