stream.coffee.eventdetection

Class ThresholdEventDetection

java.lang.Object

stream.AbstractProcessor

stream.coffee.eventdetection.ThresholdEventDetection

All Implemented Interfaces:

stream.Processor, stream.StatefulProcessor

public class ThresholdEventDetection
extends stream.AbstractProcessor

Field Summary

Fields inherited from class stream.AbstractProcessor

context

Constructor Summary

Constructors

Constructor and Description
ThresholdEventDetection()

Method Summary

Methods

Modifier and Type	Method and Description
String	getAttribute() Delivers the name of the attribute, the processor actually bases the event detection on.
String	getPredictionkey() Delivers the key under which the classifier currently stores the predicted label.
Integer	getStandardvalue() Delivers the value, the attribute "attribute" has in random frames.
Integer	getT() Returns the current threshold the processor is working with.
stream.Data	process(stream.Data input)
void	setAttribute(String attribute) Tells the processor, on which attribute to base the event detection on.
void	setPredictionkey(String predictionkey) Sets the key under which the classifier shall store the predicted label.
void	setStandardvalue(Integer standardvalue) Sets the value, attribute "attribute" has in random frames
void	setT(Integer t) Sets the threshold t to a new value.

Methods inherited from class stream.AbstractProcessor

finish, init, resetState

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Constructor Detail

ThresholdEventDetection

public ThresholdEventDetection()

Method Detail

setT

public void setT(Integer t)

Sets the threshold t to a new value. If the value of the attribute "attribute" differs more than t from the expected value "standardvalue", the frame is classified as an event.

Parameters:

t - Threshold

getT

public Integer getT()

Returns the current threshold the processor is working with.

Returns:

Threshold

setAttribute

public void setAttribute(String attribute)

Tells the processor, on which attribute to base the event detection on.

Parameters:

graykey -

getAttribute

public String getAttribute()

Delivers the name of the attribute, the processor actually bases the event detection on.

Returns:

setPredictionkey

public void setPredictionkey(String predictionkey)

Sets the key under which the classifier shall store the predicted label.

Parameters:

predictionkey -

getPredictionkey

public String getPredictionkey()

Delivers the key under which the classifier currently stores the predicted label.

Returns:

setStandardvalue

public void setStandardvalue(Integer standardvalue)

Sets the value, attribute "attribute" has in random frames

Parameters:

standardvalue -

getStandardvalue

public Integer getStandardvalue()

Delivers the value, the attribute "attribute" has in random frames.

Returns:

process

public stream.Data process(stream.Data input)