In daily life, humans demonstrate astounding ability to remember images they see on magazines, commercials, TV, the web and so on, but automatic prediction of intrinsic memorability of images using computer vision and...
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ISBN:
(纸本)9780769549903
In daily life, humans demonstrate astounding ability to remember images they see on magazines, commercials, TV, the web and so on, but automatic prediction of intrinsic memorability of images using computer vision and machine learning techniques was not investigated until a few years ago. However, despite these recent advances, none of the available approaches makes use of any attentional mechanism, a fundamental aspect of human vision, which selects relevant image regions for higher-level processing. Our goal in this paper is to explore the role of visual attention in understanding memorability of images. In particular, we present an attention-driven spatial pooling strategy for image memorability and show that the regions estimated by bottom-up and object-level saliency maps are more effective in predicting memorability than considering a fixed spatial pyramid structure as in the previous studies.
An efficient procedure which integrates feature selection and binary decision tree construction is presented. The nonparametric approach is based on the Kolmogorov-Smirnov criterion which yields an optimal classificat...
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An efficient procedure which integrates feature selection and binary decision tree construction is presented. The nonparametric approach is based on the Kolmogorov-Smirnov criterion which yields an optimal classification decision at each node. By combining the feature selection with the design of the classifier, only the most informative features are retained for classification.
A least-squares method simultaneously solves for the model-to-sensor-suite pose and sensor-to-sensor registration. The development is for a sensor-suite containing separate range and optical sensors. To address outlie...
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ISBN:
(纸本)0818672587
A least-squares method simultaneously solves for the model-to-sensor-suite pose and sensor-to-sensor registration. The development is for a sensor-suite containing separate range and optical sensors. To address outliers and, more generally, match finding, a statistical method (median filtering) and a search method (local search) are developed. Sensitivity to Gaussian noise and the choice of initial pose estimates is investigated on synthetic data. Both of the matching methods are demonstrated on real data.
In this paper, we exploit some previous theoretical results about decision tree pruning to derive a color segmentation algorithm which avoids some of the common drawbacks of region merging techniques. The algorithm ha...
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ISBN:
(纸本)0769512720
In this paper, we exploit some previous theoretical results about decision tree pruning to derive a color segmentation algorithm which avoids some of the common drawbacks of region merging techniques. The algorithm has both statistical and computational advantages over known approaches. It authorizes the processing.of 512 x 512 images in less than a second on conventional PC computers. Experiments are reported on thirty-five images of various origins, illustrating the quality of the segmentations obtained.
The aim of the study is molecular features extraction from bulky scientific data. patternrecognition is used in many scientific areas. It can be viewed as a kind of "learning" from sample patterns. In chemi...
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ISBN:
(纸本)142440049X
The aim of the study is molecular features extraction from bulky scientific data. patternrecognition is used in many scientific areas. It can be viewed as a kind of "learning" from sample patterns. In chemistry, graphical images based on specific descriptions of molecules are a kind of patterns, and these images were used for the activity of componds prediction through the use of different techniques for imageprocessing.
Quantitative analysis of lung tissue micrographs aims primarily at the determination of three-dimensional properties of the lung from two-dimensional micrographs. A computer-based approach to the determination of lung...
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Quantitative analysis of lung tissue micrographs aims primarily at the determination of three-dimensional properties of the lung from two-dimensional micrographs. A computer-based approach to the determination of lung tissue boundaries and triple points and end points from the micrograph is presented. The lung tissue boundaries are determined by histogram enhancement approach and zoom thresholding technique. The binary picture representing the lung tissue is then undergoing a thinning process to generate its skeleton from which the triple points and end points are automatically determined. The processing.algorithms are developed into a software package implemented on a PDP-11/40 minicomputer.
The focus of this study is to develop an understanding of the state of the art in visual motion perception by intelligent systems. The authors examine diverse theoretical and empirical approaches to visual motion anal...
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The focus of this study is to develop an understanding of the state of the art in visual motion perception by intelligent systems. The authors examine diverse theoretical and empirical approaches to visual motion analysis, perception, and understanding. Emphasis is placed on issues of observed object and image sequence description, representation, and perceptual control strategies. The author introduces two concepts in visual motion perception: motion vantage perspective and object motion coherence.
The objective of computer vision system is to outline the objects in a picture and label them with an appropriate interpretation. The system consists of three different types of units, two of which are associative dat...
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The objective of computer vision system is to outline the objects in a picture and label them with an appropriate interpretation. The system consists of three different types of units, two of which are associative data memories implemented as relational databases. The short term memory (STM) contains the raw color picture data and the most current interpretations and deductions about the original scene. The long term memory (LTM) contains a detailed model of the scene under consideration. Results obtained with this system are presented.
This study deals with an optimization technique applied to the problem of stochastic labeling. The authors propose a definition of a global criterion on a set of objects to be labeled that combines both ambiguity and ...
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This study deals with an optimization technique applied to the problem of stochastic labeling. The authors propose a definition of a global criterion on a set of objects to be labeled that combines both ambiguity and consistency with adjustable weights. A projected gradient algorithm is developed to minimize the criterion. Results are shown on a toy example and on the edge detection problem. Comparisons are made with relaxation labeling techniques.
A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valved im...
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ISBN:
(纸本)0818672587
A framework for object segmentation in vector-valued images is presented in this paper. The first scheme proposed is based on geometric active contours moving towards the objects to be detected in the vector-valved image. Objects boundaries are obtained as geodesics or minimal weighted distance curves in a Riemannian space. The metric in this space is given by a definition of edges in vector-valued images. The curve flow corresponding to the proposed active contours holds formal existence, uniqueness, stability, and correctness results. The techniques is applicable for example to color and texture images. The scheme automatically handles changes in the deforming curve topology. We conclude the paper presenting an extension of the color active contours which leads to a possible image flow for vector-valued image segmentation. The algorithm is based on moving each one of the image level-sets according to the proposed color active contours. This extension also shows the relation of the color geodesic active contours with a number of partial-differential-equations based imageprocessing.algorithms as anisotropic diffusion and shock filters.
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