Package | Description |
---|---|
messif.buckets.split |
Bucket splitting support.
|
messif.netbucket |
Networked objects and buckets.
|
messif.objects |
Metric data objects.
|
messif.objects.impl |
Implementation of basic data objects.
|
messif.objects.util |
Various utilities for working with collections of 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.
|
Modifier and Type | Class and Description |
---|---|
class |
BucketBallRegion |
Modifier and Type | Class and Description |
---|---|
class |
RemoteAbstractObject
Object of this class represents an object stored in a
RemoteBucket . |
Modifier and Type | Class and Description |
---|---|
class |
AbstractObject
The abstract piece of data that the MESSI Framework works with.
|
class |
BallRegion
This class represents a ball region, i.e. a partition of the metric space that
holds objects that are within a specified radius from the central object (pivot).
|
class |
LocalAbstractObject
This class is ancestor of all objects that hold some data the MESSI Framework can work with.
|
class |
LocalAbstractObjectAutoImpl
This class eases the task of implementing data read/write methods.
|
class |
LocalAbstractObjectParametric
Extension of the standard
MetaObject that allows to store (in addition
to encapsulated LocalAbstractObject s) additional named parameters too. |
class |
MetaObject
Represents a collection of LocalAbstractObjects encapsulated as one object.
|
class |
MetaObjectParametric
Extension of the standard
MetaObject that allows to store (in addition
to encapsulated LocalAbstractObject s) additional named parameters too. |
class |
NoDataObject
Object of this class represents an AbstractObject only by its URI locator.
|
Modifier and Type | Class and Description |
---|---|
class |
MetaObjectArray
Implementation of the
MetaObject that stores a fixed array of encapsulated objects. |
class |
MetaObjectArrayWeightedSum
Extension of the
MetaObjectArray that implements the distance
as a weighted sum of the encapsulated objects. |
class |
MetaObjectColor
This class represents a meta object that encapsulates MPEG7 descriptors for colors.
|
class |
MetaObjectCophirKeywords
Implementation of the object that encapsulates CoPhIR data including keywords.
|
static class |
MetaObjectCophirKeywords.MetaObjectCophirKeywordsDistCosine
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
static class |
MetaObjectCophirKeywords.MetaObjectCophirKeywordsWithTKStrings
Extension of the MetaObjectCophirKeywords that preserves also the keyword
strings in both binary and Java serialization.
|
class |
MetaObjectFixed
Abstract implementation of the
MetaObject that stores a fixed list of
encapsulated objects. |
class |
MetaObjectFixedMap
This is an implementation of the
MetaObject which stores data in fixed ArrayMap . |
class |
MetaObjectFixedWeightedSum
Abstract extension of the
MetaObjectFixed that implements the distance
as a weighted sum of the encapsulated objects. |
class |
MetaObjectMap
Implementation of
MetaObject that stores encapsulated objects
in a hash table. |
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 |
MetaObjectPixMacSCT
Special meta object that stores only the objects required for the PixMac search.
|
class |
MetaObjectPixMacShapeAndColor
Special meta object that stores only the objects required for the PixMac search.
|
class |
MetaObjectProfiSCT
Special meta object that stores only the objects required for the Profi search.
|
static class |
MetaObjectProfiSCT.MetaObjectProfiSCTKwDistCosine
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
static class |
MetaObjectProfiSCT.MetaObjectProfiSCTKwDistJaccard
Object that holds only keywords and measures the distance as the
weighted Jaccard with weights based on tf-idf algorithm.
|
static class |
MetaObjectProfiSCT.MetaObjectProfiSCTWithTKStrings
Extension of the MetaObjectProfiSCT that preserves also the title and keywords
strings in both binary and Java serialization.
|
class |
MetaObjectProfiSCTiDIM
Special meta object that stores only the objects required for the Profi search.
|
static class |
MetaObjectProfiSCTiDIM.MetaObjectProfiSCTiDIMKwDistCosine
Object that holds only keywords and measures the distance as the
weighted Cosine distance with weights based on tf-idf algorithm.
|
static class |
MetaObjectProfiSCTiDIM.MetaObjectProfiSCTiDIMWithTKStrings
Extension of the MetaObjectProfiSCT that preserves also the title and keywords
strings in both binary and Java serialization.
|
class |
MetaObjectSAPIR |
class |
MetaObjectSAPIRWeightedDist |
class |
MetaObjectSAPIRWeightedDist2 |
class |
MetaObjectSAPIRWeightedDist3 |
class |
MetaObjectShape
This class represents a meta object that encapsulates MPEG7 descriptors for shape.
|
class |
MetaObjectShapeAndColor
This class represents a meta object that encapsulates MPEG7 descriptors for shape and color.
|
class |
ObjectByteVector
This object uses static array of byte integers as its data content.
|
class |
ObjectByteVectorL1
Implementation of the
ObjectByteVector with an L1 (city-block) metric distance. |
class |
ObjectByteVectorL2
Implementation of the
ObjectByteVector with an L2 (Euclidean) metric distance. |
class |
ObjectColorLayout |
class |
ObjectContourShape
This is the MPEG-7 Contour Shape descriptor.
|
class |
ObjectDoubleVector
This object uses static array of doubles as its data content.
|
class |
ObjectDoubleVectorL1
Implementation of the
ObjectDoubleVector with an L1 (city-block) metric distance. |
class |
ObjectDoubleVectorL2
Implementation of the
ObjectDoubleVector with an L2 (Euclidean) metric distance. |
class |
ObjectFaceLuxandDescriptor
This class encapsulates a Luxand FaceSDK recognition descriptor.
|
class |
ObjectFaceMPEG7AdvancedDescriptor
This class holds an advanced descriptor of face identity robust to variations in pose and illumination conditions.
|
class |
ObjectFaceMPEG7Descriptor
This class encapsulates a face recognition descriptor.
|
class |
ObjectFacePittPattDescriptor
This class encapsulates a PittPatt recognition descriptor.
|
class |
ObjectFeature
Abstract class for local image feature
|
class |
ObjectFeatureByte
Vlasta: This class used a hack for lowering memory footprint by moving an interval [0;255] to [-127;128], which is in essence WRONG!
|
class |
ObjectFeatureByteL2 |
class |
ObjectFeatureClustered
Deprecated.
This is superseded by
ObjectFeatureQuantized |
class |
ObjectFeatureClusteredMatch
Deprecated.
This is superseded by
ObjectFeatureQuantized |
class |
ObjectFeatureFloat |
class |
ObjectFeatureFloatL2 |
class |
ObjectFeatureFloatWClusters
Deprecated.
I do not know the purpose of this class, so I marked it as deprecated.
|
class |
ObjectFeatureFloatWClustersL2
Deprecated.
I do not know the purpose of this class, so I marked it as deprecated.
|
class |
ObjectFeatureLong |
class |
ObjectFeatureLongL2 |
class |
ObjectFeatureOrderedSet
This class adds ordering of the features in the set.
|
class |
ObjectFeatureQuantized
Class for local image feature that is quantized to an array of long integers.
|
class |
ObjectFeatureQuantizedOneOfManyDist
Class for local image feature that is quantized to an array of long integers.
|
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 |
class |
ObjectFloatUnitVector
This object uses static array of floats as its data content.
|
class |
ObjectFloatUnitVectorL2
Implementation of the
ObjectFloatUnitVector with an L2 (Euclidean) metric distance. |
class |
ObjectFloatVector
This object uses static array of floats as its data content.
|
class |
ObjectFloatVectorCosine
Implementation of the
ObjectFloatVector with a Cosine metric
distance. |
class |
ObjectFloatVectorL1
Implementation of the
ObjectFloatVector with an L1 (city-block) metric distance. |
class |
ObjectFloatVectorL2
Implementation of the
ObjectFloatVector with an L2 (Euclidean) metric distance. |
class |
ObjectFloatVectorLmax
Implementation of the
ObjectFloatVector with an L-max metric distance. |
class |
ObjectFloatVectorNeuralNetwork
This object uses static array of floats as its data content.
|
class |
ObjectFloatVectorNeuralNetworkL2
This object uses static array of floats as its data content.
|
class |
ObjectFloatVectorTunable
Implementation of the
ObjectFloatVector with an L2 (Euclidean) metric distance. |
class |
ObjectGPSCoordinate
Implements GPS coordinates objects.
|
class |
ObjectHomogeneousTexture |
class |
ObjectIntMultiVector
This object uses multiple static array of integers as its data content.
|
class |
ObjectIntMultiVectorCosine
Implements the Cosine distance function.
|
class |
ObjectIntMultiVectorJaccard
Implements the Jaccard coefficient distance function.
|
class |
ObjectIntSortedVector
This class represents an integer vector sorted non-decreasingly - the data
is sorted in the constructor, if not explicitely said that it's already sorted.
|
class |
ObjectIntSortedVectorJaccard
Implements the Jaccard coeficient distance function.
|
class |
ObjectIntVector
This object uses static array of integers as its data content.
|
class |
ObjectIntVectorL1
Implementation of the
ObjectIntVector with an L1 (city-block) metric distance. |
class |
ObjectIntVectorL2
Implementation of the
ObjectIntVector with an L2 (Euclidean) metric distance. |
class |
ObjectRectangle2D |
class |
ObjectRegionShape
This is the MPEG-7 Region Shape descriptor.
|
class |
ObjectShortVector
This object uses static array of short integers as its data content.
|
class |
ObjectShortVectorL1
Implementation of the
ObjectShortVector with an L1 (city-block) metric distance. |
class |
ObjectShortVectorL2
Implementation of the
ObjectShortVector with an L2 (Euclidean) metric distance. |
class |
ObjectSignatureSQFD
Signatures
|
class |
ObjectString
This object uses
String as its data content. |
class |
ObjectStringDNASeqDist |
class |
ObjectStringEditDist
Object with string content and edit distance metric function.
|
class |
ObjectStringEditDistSleep
An object that whose getDistance() method takes 10 miliseconds more than std Edit distance
|
class |
ObjectStringFINLP_Dist |
class |
ObjectStringSmithWaterman |
class |
ObjectUnsignedByteVector
This object represents an array of unsigned bytes represented in memory as short integers.
|
class |
ObjectUnsignedByteVectorL2
Implementation of the
ObjectUnsignedByteVector with an L2 (Euclidean) metric distance. |
class |
ObjectVectorEdgecomp |
class |
ObjectVectorEMD
represents double[] data
|
class |
ObjectXMRegionShape
This is the MPEG-7 Region Shape descriptor.
|
Modifier and Type | Class and Description |
---|---|
class |
RankedAbstractMetaObject
Encapsulation of an object-distance pair with the distances to respective
sub-objects of a
MetaObject . |
class |
RankedAbstractObject
Encapsulation of an object-distance pair.
|
class |
RankedJoinObject
Ranked object encapsulating a pair of objects as a result of join operation.
|
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.
|