Results 221 to 230 of about 629,636 (267)
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NeuroReport, 2003
How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
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How do we detect changes in our visual environment? By continuously comparing visual inputs to templates of experiences in the immediate past? Or by determining their rareness, how infrequently a visual event occurred previously? Recent results from event-related potentials have been interpreted in favour of the first hypothesis, as in the case of the ...
Kenemans, J.L. +2 more
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2017
In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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In this paper, we have proposed a novel and efficient visual smoke detection algorithm. Smoke detection in video surveillance is very important for early fire detection. Proposed algorithm uses an unique combination of features to detect smoke efficiently. These features use appearance, energy and motion properties of the smoke.
Abhishek Kumar Tripathi, Shanti Swarup
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Detection and recognition of visual targets
Journal of the Optical Society of America A, 1985To aid the development of detection-based interpretations of visual resolution, we evaluated theorems that (1) relate observers' performance in detection of a single target to that in 1-of-m signal detection and (2) predict recognition performance from measured performance at 1-of-m detection.
T, Benzschawel, T E, Cohn
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Detecting Visual Field Progression
Ophthalmology, 2017Timely detection of glaucomatous progression is crucial in the delivery of glaucoma care. Clinical judgment may be used to make this assessment, but relatively modest agreement among practitioners supports the use of complementary methods. Event-based analyses take into account expected localized test-retest variabilities in sensitivity, and trend ...
Ahmad A, Aref, Donald L, Budenz
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Hierarchical Visual Relationship Detection
Proceedings of the 27th ACM International Conference on Multimedia, 2019Acting as a bridge between vision and language, visual relationship detection (VRD) aims to represent objects and their interactions in an image with several relationship triplets. Nevertheless, the conventional VRD task shows little consideration for the penalization of incorrect relationship predictions, which in turn undermines its support for image
Xu Sun 0009 +4 more
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Visualizing clone detection results
Proceedings of the twenty-second IEEE/ACM international conference on Automated software engineering, 2007It has been observed by many practitioners that software applications frequently contain redundant code fragments. This redundancy is often caused by the common programming practice of replicating (or cloning) existing code and then customizing code fragments to handle new demands within an application.
Robert Tairas +2 more
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Acoustic facilitation of visual detection.
Journal of Experimental Psychology, 1965Abstract : Eleven Os were required to judge which of 4 temporal intervals contained a visual signal, in an experiment involving a total of 10,900 trials. Under some conditions, potentially useful time information was conveyed by accompanying sound stimulation, while it was lacking under others. Highest detectability of the signal was associated with an
W H, WATKINS, C E, FEEHRER
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Visual Relationship Detection: A Survey
IEEE Transactions on Cybernetics, 2022Visual relationship detection (VRD) is one newly developed computer vision task, aiming to recognize relations or interactions between objects in an image. It is a further learning task after object recognition, and is important for fully understanding images even the visual world.
Jun Cheng 0002 +6 more
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A Visual Solution in Asteroids Detection
2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2019Asteroid discovery is not an activity restricted to the notable surveying efforts that have their private staff, equipment and detection programs, but it is also popular among amateurs and various mini-surveys. In light of this situation, new Near Earth Asteroids (NEAs) are found out every day.
Denisa Copandean, Dorian Gorgan
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Activity Detection for scientific visualization
2011 IEEE Symposium on Large Data Analysis and Visualization, 2011Understanding the science behind ultra-scale simulations requires extracting meaning from data sets of hundreds of terabytes or more. At extreme scales, the data sets are so huge, there is not even enough time to view the data, let alone explore it with basic visualization methods.
Sedat Ozer +4 more
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