org.openimaj.image.feature.global

Class RuleOfThirds

java.lang.Object

org.openimaj.image.feature.global.RuleOfThirds

All Implemented Interfaces:

FeatureVectorProvider<DoubleFV>, org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>

@Reference(type=Inproceedings,
           author={"Che-Hua Yeh","Yuan-Chen Ho","Brian A. Barsky","Ming Ouhyoung"},
           title="Personalized Photograph Ranking and Selection System",
           year="2010",
           booktitle="Proceedings of ACM Multimedia",
           pages={"211","220"},
           month="October",
           customData={"location","Florence, Italy"})
public class RuleOfThirds
extends Object
implements org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>, FeatureVectorProvider<DoubleFV>

Implementation of the rule-of-thirds algorithm described by Yeh et al.

I've assumed that the distances to the power-points should be normalized with respect to the image size - this isn't explicit in the paper, but given that the sigma of the gaussian is fixed, it seems likely...

Author:

Jonathon Hare (jsh2@ecs.soton.ac.uk)

Constructor Summary

Constructors

Constructor and Description
RuleOfThirds() Construct a new RuleOfThirds with the default settings for the YehSaliency algorithm.
RuleOfThirds(float saliencySigma, float segmenterSigma, float k, int minSize) Construct a new RuleOfThirds with the given values for the YehSaliency algorithm.

Method Summary

Modifier and Type	Method and Description
void	analyseImage(org.openimaj.image.MBFImage image)
DoubleFV	getFeatureVector()

Methods inherited from class java.lang.Object

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

Constructor Detail

RuleOfThirds

public RuleOfThirds()

Construct a new RuleOfThirds with the default settings for the YehSaliency algorithm.

RuleOfThirds

public RuleOfThirds(float saliencySigma,
                    float segmenterSigma,
                    float k,
                    int minSize)

Construct a new RuleOfThirds with the given values for the YehSaliency algorithm.

Parameters:

saliencySigma - smoothing for the AchantaSaliency class

segmenterSigma - smoothing for FelzenszwalbHuttenlocherSegmenter.

k - k value for FelzenszwalbHuttenlocherSegmenter.

minSize - minimum region size for FelzenszwalbHuttenlocherSegmenter.

Method Detail

getFeatureVector

public DoubleFV getFeatureVector()

Specified by:

getFeatureVector in interface FeatureVectorProvider<DoubleFV>

analyseImage

public void analyseImage(org.openimaj.image.MBFImage image)

Specified by:

analyseImage in interface org.openimaj.image.analyser.ImageAnalyser<org.openimaj.image.MBFImage>