Add to ORKGIn this paper, the concept of image informativeness is introduced, which allows one to compare images. The goal of comparison is to select the best image from the point of view of efficiency of predetermined object discovery in the scene with respect to geometrical features. The method for calculation of image informativeness is indicated for Bernoulli scenes without deciphering. For the case of locally isotropic scenes when necessary data for image informativeness calculation are unavailable, an informativeness estimation is suggested. © Pleiades Publishing, Ltd., 2009
In this paper we propose a novel computational method to infer visual saliency in images. The method...
A successful vision system must solve the problem of deriving geometrical information about three-di...
It is natural for us as humans to pay more attention to some parts of what we see in the world aroun...
In this paper, the concept of image informativeness is introduced, which allows one to compare image...
Measurement of visual quality is crucial for various image and video processing applications. T...
The paper presents an overview of methods for extracting useful information from digital images. It ...
We present algorithms for predicting the quality of colour reproductions of natural scenes. The algo...
The information technology that implements evaluation of redundant information using the methods of ...
The information technology that implements evaluation of redundant information using the methods of ...
The problem of recognizing objects imaged in complex real-world scenes is examined from a parametric...
This book focuses on the intelligent processing of images and optical information acquired by variou...
Extraction of information from images is often hamperedby the ineffective definitions of information...
Image information content is known to be a complicated and a controversial problem. We posit a new i...
Even though numerous algorithms exist for estimating the structure of a scene from its video, the so...
The field of image processing addresses handling and analysis of images for many purposes using a la...
In this paper we propose a novel computational method to infer visual saliency in images. The method...
A successful vision system must solve the problem of deriving geometrical information about three-di...
It is natural for us as humans to pay more attention to some parts of what we see in the world aroun...
In this paper, the concept of image informativeness is introduced, which allows one to compare image...
Measurement of visual quality is crucial for various image and video processing applications. T...
The paper presents an overview of methods for extracting useful information from digital images. It ...
We present algorithms for predicting the quality of colour reproductions of natural scenes. The algo...
The information technology that implements evaluation of redundant information using the methods of ...
The information technology that implements evaluation of redundant information using the methods of ...
The problem of recognizing objects imaged in complex real-world scenes is examined from a parametric...
This book focuses on the intelligent processing of images and optical information acquired by variou...
Extraction of information from images is often hamperedby the ineffective definitions of information...
Image information content is known to be a complicated and a controversial problem. We posit a new i...
Even though numerous algorithms exist for estimating the structure of a scene from its video, the so...
The field of image processing addresses handling and analysis of images for many purposes using a la...
In this paper we propose a novel computational method to infer visual saliency in images. The method...
A successful vision system must solve the problem of deriving geometrical information about three-di...
It is natural for us as humans to pay more attention to some parts of what we see in the world aroun...