cv.StaticSaliencyFineGrained

The Fine Grained Saliency approach for Static Saliency

The Fine Grained Saliency approach from [FGS].

Saliency API

Many computer vision applications may benefit from understanding where humans focus given a scene. Other than cognitively understanding the way human perceive images and scenes, finding salient regions and objects in the images helps various tasks such as speeding up object detection, object recognition, object tracking and content-aware image editing.

About the saliency, there is a rich literature but the development is very fragmented. The principal purpose of this API is to give a unique interface, a unique framework for use and plug sever saliency algorithms, also with very different nature and methodology, but they share the same purpose, organizing algorithms into three main categories:

Static Saliency
Motion Saliency
Objectness

Saliency UML diagram:

To see how API works, try tracker demo: computeSaliency_demo.m.

Static Saliency algorithms

Algorithms belonging to this category, exploit different image features that allow to detect salient objects in a non dynamic scenarios.

Fine Grained Saliency

This method calculates saliency based on center-surround differences. High resolution saliency maps are generated in real time by using integral images.

References

[FGS]:

Sebastian Montabone and Alvaro Soto. "Human detection using a mobile platform and novel features derived from a visual saliency mechanism". In Image and Vision Computing, Vol. 28 Issue 3, pages 391-402. Elsevier, 2010.

Superclasses	handle
Sealed	false
Construct on load	false

	addlistener	Add listener for event.
	clear	Clears the algorithm state
	computeBinaryMap	This function perform a binary map of given saliency map
	computeSaliency	Compute the saliency
	delete	Destructor
	empty	Checks if detector object is empty
	eq	== (EQ) Test handle equality.
	findobj	Find objects matching specified conditions.
	findprop	Find property of MATLAB handle object.
	ge	>= (GE) Greater than or equal relation for handles.
	getDefaultName	Returns the algorithm string identifier
	gt	> (GT) Greater than relation for handles.
Sealed	isvalid	Test handle validity.
	le	<= (LE) Less than or equal relation for handles.
	listener	Add listener for event without binding the listener to the source object.
	load	Loads algorithm from a file or a string
	lt	< (LT) Less than relation for handles.
	ne	~= (NE) Not equal relation for handles.
	notify	Notify listeners of event.
	save	Saves the algorithm parameters to a file