The Effects of Visual Degradation on Attended Objects and the Ability to Process Unattended Objects within the Visual Array

2010 ◽  
Author(s):  
Jeremy R. Athy ◽  
Dale S. Klopfer ◽  
Stephanie M. Moon ◽  
Gina M. Jurek
2009 ◽  
Author(s):  
Daniel J. Shorr ◽  
Neta Ezer ◽  
Arthur D. Fisk ◽  
Wendy A. Rogers

1986 ◽  
Vol 80 (7) ◽  
pp. 849-854
Author(s):  
E. Pell ◽  
L. E. Arend ◽  
G. T. Timberlake

Patients with age-related visual loss suffer reduced ability to recognize faces and other scenes in photographs and on television. Recently, progress has been made in image enhancement, using controlled distortion of digitally stored images that increases their usefulness in particular applications. Described are two approaches to image enhancement for the visually impaired. In one approach, the visual losses that characterize individual patients and disease classes are described using detailed measurements of visual degradation transfer functions, which are profiles of loss of image information at various spatial scales. The particular distortion used for image enhancement is then adjusted to the impairment of the individual patient or disease class. A second approach takes advantage of the resemblance between the visual losses of many patients and the degradation of picture information in other applications due to external limitations (e.g., fog and haze) on photography. Several enhancement algorithms have been found useful with such images and may also improve picture recognition by the visually impaired.


Science ◽  
1977 ◽  
Vol 197 (4302) ◽  
pp. 422-423
Author(s):  
H. W. Leibowitz ◽  
D. A. Owens

2014 ◽  
Vol 10 (4) ◽  
pp. 221 ◽  
Author(s):  
Mokhtar Ouamri ◽  
Kamel M. Faraoun

Emerging High efficiency video coding (HEVC) is expected to be widely adopted in network applications for high definition devices and mobile terminals. Thus, construction of HEVC's encryption schemes that maintain format compliance and bit rate of encrypted bitstream becomes an active security's researches area. This paper presents a novel selective encryption technique for HEVC videos, based on enciphering the bins of selected Golomb–Rice code’s suffixes with the Advanced Encryption Standard (AES) in a CBC operating mode. The scheme preserves format compliance and size of the encrypted HEVC bitstream, and provides high visual degradation with optimized encryption space defined by selected Golomb–Rice suffixes. Experimental results show reliability and robustness of the proposed technique.


2020 ◽  
Author(s):  
Hee Yeon Im ◽  
Natalia Tiurina ◽  
Igor Utochkin

Ensemble representations are often described as efficient tools when summarizing features of multiple similar objects as a group. However, it can sometimes be more useful not to compute a single summary description for all of the objects if they are substantially different, for example, when they belong to entirely different categories. It was proposed that the visual system can efficiently use the distributional information of ensembles to decide whether simultaneously displayed items belong to single or several different categories. Here we directly tested how the feature distribution of items in a visual array affects an ability to discriminate individual items (Experiment 1) and sets (Experiments 2-3) when participants were instructed explicitly to categorize individual objects based on the median of size distribution. We varied the width (narrow or fat) as well as the shape (smooth or two-peaked) of distributions in order to manipulate the ease of ensemble extraction from the items. We found that observers unintentionally relied on the grand mean as a natural categorical boundary and that their categorization accuracy increased as a function of the size differences among individual items and a function of their separation from the grand mean. For ensembles drawn from two-peaked size distributions, participants showed better categorization performance. They were more accurate at judging within-category ensemble properties in other dimensions (centroid and orientation) and less biased by superset statistics. This finding corroborates the idea that the two-peaked feature distributions support the “segmentability” of spatially intermixed sets of objects. Our results emphasize important roles of ensemble statistics (mean, range, distribution shape) in explicit visual categorization.


2015 ◽  
Vol 112 (47) ◽  
pp. 14717-14722 ◽  
Author(s):  
Clark Fisher ◽  
Winrich A. Freiwald

The primate brain contains a set of face-selective areas, which are thought to extract the rich social information that faces provide, such as emotional state and personal identity. The nature of this information raises a fundamental question about these face-selective areas: Do they respond to a face purely because of its visual attributes, or because the face embodies a larger social agent? Here, we used functional magnetic resonance imaging to determine whether the macaque face patch system exhibits a whole-agent response above and beyond its responses to individually presented faces and bodies. We found a systematic development of whole-agent preference through the face patches, from subadditive integration of face and body responses in posterior face patches to superadditive integration in anterior face patches. Superadditivity was not observed for faces atop nonbody objects, implying categorical specificity of face–body interaction. Furthermore, superadditivity was robust to visual degradation of facial detail, suggesting whole-agent selectivity does not require prior face recognition. In contrast, even the body patches immediately adjacent to anterior face areas did not exhibit superadditivity. This asymmetry between face- and body-processing systems may explain why observers attribute bodies’ social signals to faces, and not vice versa. The development of whole-agent selectivity from posterior to anterior face patches, in concert with the recently described development of natural motion selectivity from ventral to dorsal face patches, identifies a single face patch, AF (anterior fundus), as a likely link between the analysis of facial shape and semantic inferences about other agents.


1965 ◽  
Vol 13 (2) ◽  
pp. 159-164 ◽  
Author(s):  
Adrian Chan ◽  
Robert M. W. Travers ◽  
Adrian P. Van Mondfrans
Keyword(s):  

NeuroImage ◽  
1998 ◽  
Vol 7 (4) ◽  
pp. S878
Author(s):  
Chantal E. Stern ◽  
Adrian M. Owen ◽  
Rodney B. Look ◽  
Irene Tracey ◽  
Bruce R. Rosen ◽  
...  

Sensors ◽  
2019 ◽  
Vol 19 (13) ◽  
pp. 2932 ◽  
Author(s):  
Jose Balsa ◽  
Tomás Domínguez-Bolaño ◽  
Óscar Fresnedo ◽  
José A. García-Naya ◽  
Luis Castedo

An analog joint source-channel coding (JSCC) system designed for the transmission of still images is proposed and its performance is compared to that of two digital alternatives which differ in the source encoding operation: Joint Photographic Experts Group (JPEG) and JPEG without entropy coding (JPEGw/oEC), respectively, both relying on an optimized channel encoder–modulator tandem. Apart from a visual comparison, the figures of merit considered in the assessment are the structural similarity (SSIM) index and the time required to transmit an image through additive white Gaussian noise (AWGN) and Rayleigh channels. This work shows that the proposed analog system exhibits a performance similar to that of the digital scheme based on JPEG compression with a noticeable better visual degradation to the human eye, a lower computational complexity, and a negligible delay. These results confirm the suitability of analog JSCC for the transmission of still images in scenarios with severe constraints on power consumption, computational capabilities, and for real-time applications. For these reasons the proposed system is a good candidate for surveillance systems, low-constrained devices, Internet of things (IoT) applications, etc.


2007 ◽  
Vol 84 (7) ◽  
pp. 580-587 ◽  
Author(s):  
JESSICA D. SOLOMON ◽  
COURTNEY L. CASE ◽  
JACK V. GREINER ◽  
CAROLINE A. BLACKIE ◽  
JOHN P. HERMAN ◽  
...  
Keyword(s):  

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