Package | Description |
---|---|
messif.objects |
Metric data objects.
|
messif.objects.classification |
Support for object classification.
|
messif.objects.classification.impl |
Provides implementations for common classification tasks.
|
messif.objects.classification.text | |
messif.objects.extraction |
Support for
object extraction. |
messif.objects.impl |
Implementation of basic data objects.
|
messif.operations |
Generic classes for data manipulatioin and querying operations.
|
messif.operations.data |
Implementation of data-manipulation operations.
|
messif.operations.query |
Implementation of data querying operations.
|
messif.utility |
Various utilities that does not fit anywhere else including
a main class for executing batch files.
|
Modifier and Type | Class and Description |
---|---|
class |
LocalAbstractObjectParametric
Extension of the standard
MetaObject that allows to store (in addition
to encapsulated LocalAbstractObject s) additional named parameters too. |
class |
MetaObjectParametric
Extension of the standard
MetaObject that allows to store (in addition
to encapsulated LocalAbstractObject s) additional named parameters too. |
Modifier and Type | Method and Description |
---|---|
Classification<C> |
Classifier.classify(T object,
Parametric parameters)
Classifies the given
object into zero, one, or several categories C . |
Classification<C> |
PipelineClassifier.classify(T object,
Parametric parameters) |
Modifier and Type | Method and Description |
---|---|
Classification<C> |
ExtractorClassifier.classify(ExtractorDataSource dataSource,
Parametric parameters) |
ClassificationWithConfidence<C> |
ParametricRankedObjectDistanceClassifier.classify(java.util.Iterator<? extends RankedAbstractObject> iterator,
Parametric parameters) |
Classification<C> |
ObjectProviderClassifier.classify(LocalAbstractObject object,
Parametric parameters) |
Classification<C> |
RankingQueryOperationClassifier.classify(LocalAbstractObject object,
Parametric parameters) |
Classification<C> |
ParametricSimpleGetClassifier.classify(Parametric object,
Parametric parameters) |
protected ClassificationWithConfidence<C> |
ParametricRankedObjectDistanceClassifier.getClassification(RankedAbstractObject object,
Parametric parameters)
Retrieves the classification from the object.
|
ApproxKNNQueryOperation |
ApproxKNNOperationClassifier.getExecutedOperation(Parametric parameters) |
KNNQueryOperation |
KNNOperationClassifier.getExecutedOperation(Parametric parameters) |
RankingQueryOperation |
RankingQueryOperationClassifier.getExecutedOperation(Parametric parameters)
Returns the executed operation stored by this classifier in the given parameters.
|
LocalAbstractObject |
ExtractorClassifier.getExtractedObject(Parametric parameters)
Returns the extracted object stored by this classifier in the given parameters.
|
Modifier and Type | Class and Description |
---|---|
class |
KeywordClassification<T>
Encapsulation object for the data on which the
KeywordClassifier operates. |
Modifier and Type | Method and Description |
---|---|
KeywordClassification<C> |
BestKeywordsReducer.classify(KeywordClassification<C> inputClassification,
Parametric parameters) |
KeywordClassification<O> |
KeywordClassifier.classify(KeywordClassification<I> inputClassification,
Parametric parameters)
Transforms the given
inputClassification into the output keyword classification. |
Modifier and Type | Class and Description |
---|---|
class |
ExtractorDataSource
Provides a data source for
Extractor s. |
Modifier and Type | Class and Description |
---|---|
class |
MetaObjectParametricArray
Implementation of the
MetaObject that stores a fixed array of encapsulated objects
with additional parameters . |
class |
MetaObjectParametricArrayTotalMin
Extension of the
MetaObjectArray that implements the distance
as minimum of the distances between all pairs (from this object and the other
MetaObjectArray object). |
class |
MetaObjectParametricArrayWeightedSum
Extension of the
MetaObjectParametricArray that implements the distance
as a weighted sum of the encapsulated objects. |
class |
MetaObjectParametricMap
Extension of the standard
MetaObjectParametric that stores encapsulated
LocalAbstractObject s in a map under their symbolic names (strings). |
class |
MetaObjectParametricShapeAndColor
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color
with optional data stored via the
Parametric interface. |
class |
MetaObjectParametricShapeColorAndText
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color.
|
class |
ObjectFaceMPEG7AdvancedDescriptor
This class holds an advanced descriptor of face identity robust to variations in pose and illumination conditions.
|
class |
ObjectFacePittPattDescriptor
This class encapsulates a PittPatt recognition descriptor.
|
class |
ObjectFeatureOrderedSet
This class adds ordering of the features in the set.
|
class |
ObjectFeatureSet
Represents a list of LocalAbstractObjects
All the encapsulated objects share the same locator URI.
|
class |
ObjectFeatureSetHausdorff |
class |
ObjectFeatureSetMinNumOfSimilar
Compute the number of similar features between this and other
ObjectFeatureSet . |
class |
ObjectFeatureSetNeedlemanWunsch
Needleman-Wunsch global sequence alignment algorithm.
|
class |
ObjectFeatureSetNeedlemanWunschWindowed
Needleman-Wunsch global sequence alignment computed by sliding windows.
|
class |
ObjectFeatureSetNumOfSimilar |
class |
ObjectFeatureSetOrdpres |
class |
ObjectFeatureSetSmithWaterman
Smith-Waterman local sequence alignment algorithm.
|
class |
ObjectFeatureSetSmithWatermanWindowed
Smith-Waterman local sequence alignment computed by sliding windows.
|
class |
ObjectFeatureSetSumOfMinDists |
class |
ObjectFeatureSetSumOfSimilar |
Modifier and Type | Method and Description |
---|---|
KeywordClassification<java.lang.String> |
MetaObjectProfiSCT.DatabaseKeywordClassifier.classify(RankingQueryOperation operation,
Parametric parameters) |
java.util.Map<java.lang.String,java.util.List<java.lang.String>> |
MetaObjectProfiSCT.DatabaseKeywordClassifier.getOriginalWordMap(Parametric parameters)
Returns the original word
Map stored by this classifier in the given parameters. |
Modifier and Type | Class and Description |
---|---|
class |
AbstractOperation
The base class for all operations.
|
class |
GetCandidateSetOperation
This operation encapsulates
RankingSingleQueryOperation and returns a candidate set requested size for
this operation. |
class |
ListingQueryOperation
The base class for query operations that return unsorted collections of
objects . |
class |
QueryOperation<TAnswer>
The base class for all query operations.
|
class |
RankingMultiQueryOperation
The base class for query operations that return objects
ranked by a distance to multiple objects.
|
class |
RankingQueryOperation
The base class for query operations that return
objects
ranked by a distance. |
class |
RankingSingleQueryOperation
The base class for query operations that return objects ranked by a distance
to a single object.
|
class |
RefineCandidateOperation
This operation starts refinement of the encapsulated
RankingSingleQueryOperation using
the candidate set stored in the provided GetCandidateSetOperation . |
class |
SingletonQueryOperation
The base class for query operations that return a single
object . |
Modifier and Type | Class and Description |
---|---|
class |
BulkInsertOperation
Operation for inserting several objects at once.
|
class |
DataManipulationOperation
Common abstract ancestor of all data manipulation operations (insert, delete, update).
|
class |
DeleteByLocatorOperation
Operation for deleting an object.
|
class |
DeleteOperation
Operation for deleting object(s).
|
class |
DeleteOperationLegacy
Operation for deleting an object.
|
class |
InsertOperation
Operation for inserting an object.
|
class |
TruncateOperation
Operation for removing all object(s).
|
Modifier and Type | Class and Description |
---|---|
class |
AggregationFunctionQueryOperation
Aggregation function kNN query operation.
|
class |
ApproxKNNQueryOperation
Approximate k-nearest neighbors query with specific early termination parameters
and support for obtaining some guarantees on results.
|
class |
ApproxRangeQueryOperation
Approximate range query with specific early termination parameters
and support for obtaining some guarantees on results.
|
class |
BatchKNNQueryOperation
A batch of several K-nearest neighbors query operations encapsulated as a single operation.
|
class |
GetAlgorithmInfoOperation
Special operation that returns the algorithm info (i.e. the algorithm toString() value).
|
class |
GetAllObjectsQueryOperation
Operation for retrieving all objects locally stored (organized by an algorithm).
|
class |
GetObjectByLocatorOperation
This query retrieves from the structure a set of objects given their locators.
|
class |
GetObjectCountOperation
Operation for retrieving the number of objects stored in indexing structure.
|
class |
GetObjectsByLocatorPrefixOperation
This operation returns objects with locator that have a given prefix.
|
class |
GetObjectsByLocatorsOperation
This operation returns objects with given locators.
|
class |
GetRandomObjectQueryOperation
Operation for retriving a random object.
|
class |
GetRandomObjectsQueryOperation
Operation for retriving a list of random objects.
|
class |
IncrementalNNQueryOperation
Incremental Nearest Neighbor Search.
|
class |
JoinQueryOperation
Similarity join query operation.
|
class |
KNNMultiQueryOperation
K-nearest neighbors query operation with multiple query objects.
|
class |
KNNQueryByLocatorOperation
K-nearest neighbors query operation for query identified just by locator.
|
class |
KNNQueryOperation
K-nearest neighbors query operation.
|
class |
PartitionedKNNQueryOperation
This class represents a range query that distinguish the partition
from which a matching object comes from.
|
class |
PartitionedRangeQueryOperation
This class represents a range query that distinguish the partition
from which a matching object comes from.
|
class |
PrintAllObjectsOperation
Operation for retrieving all objects locally stored (organized by an algorithm) and printing
their text representation to specified file.
|
class |
QuantizeOperation
Operation for quantizing all data objects passed.
|
class |
RangeJoinQueryOperation
Similarity join query operation evaluated using range queries on an external index.
|
class |
RangeMultiQueryOperation
Range query operation with multiple query objects.
|
class |
RangeQueryOperation
Range query operation.
|
class |
TopCombinedQueryOperation
Top-k combined query operation.
|
Modifier and Type | Interface and Description |
---|---|
interface |
ModifiableParametric
Extension of the
Parametric interface that support modifications. |
Modifier and Type | Class and Description |
---|---|
class |
ModifiableParametricBase
Basic implementation of the
ModifiableParametric interface on encapsulated Map . |
class |
ParametricBase
Basic implementation of the
Parametric interface on encapsulated Map . |
Modifier and Type | Method and Description |
---|---|
static java.lang.StringBuilder |
ParametricBase.append(java.lang.StringBuilder str,
Parametric parametric,
java.lang.String nameValueSeparator,
java.lang.String parameterSeparator,
boolean addFirstParameterSeparator)
Appends the given
Parametric instance to the given string. |
static java.lang.StringBuilder |
ParametricBase.appendParameter(java.lang.StringBuilder str,
Parametric parametric,
java.lang.String parameterName,
java.lang.String nameValueSeparator)
|