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Virality of online content on social networking websites is an important but esoteric phenomenon often studied in fields like marketing, psychology and data mining. In this paper we study viral images from a computer vision perspective.
Deza, Arturo, Parikh, Devi
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Development and validation of a novel porcine bile duct dilation model for EUS training
Background and study aims Image-guided minimally invasive techniques have transformed the management of malignant and benign bile duct obstructions. These evolving techniques are being widely adopted and applied and hands-on training using high quality ...
Leonardo Sosa-Valencia +5 more
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Hierarchy-based Image Embeddings for Semantic Image Retrieval
Deep neural networks trained for classification have been found to learn powerful image representations, which are also often used for other tasks such as comparing images w.r.t. their visual similarity. However, visual similarity does not imply semantic
Barz, Björn, Denzler, Joachim
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An unambiguous cloudiness index for nonwovens
Cloudiness or formation is a concept routinely used in industry to address deviations from homogeneity in nonwovens and papers. Measuring a cloudiness index based on image data is a common task in industrial quality assurance.
Michael Godehardt +4 more
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A CCD image sensor of the type for providing charge multiplication by impact ionisation has an image area and a plurality of pixels. A separate multiplication register has a plurality of multiplication elements arranged to receive charge from the pixels ...
Jerram, Paul, Stefanov, Konstantin
core
Actively pulse shaped linearly polarized nanosecond hybrid Ho3+ and Tm3+-doped silica fiber & Ho3+:YAG MOPA at 2048 nm [PDF]
Ho3+:YAG amplifiers are able to efficiently scale pulse energy at wavelengths far shorter than the main emission peak. For 24 W input power at 2048 nm a signal output power of 81.6 W is reached, resulting in 5.3 dB gain.
Lorenz Dominik +8 more
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Impact of image quality on OCT angiography based quantitative measurements
Background To study the impact of image quality on quantitative measurements and the frequency of segmentation error with optical coherence tomography angiography (OCTA). Methods Seventeen eyes of 10 healthy individuals were included in this study.
Mayss Al-Sheikh +3 more
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Reconstructed Saliency for Infrared Pedestrian Images
Accurately and completely detecting infrared pedestrian is a challenging problem in an intelligent transportation system due to the low SNR and the inhomogeneous luminance distribution in the infrared images, especially for the complex background ...
Lu Li +3 more
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Wavelet Domain Image Separation
In this paper, we consider the problem of blind signal and image separation using a sparse representation of the images in the wavelet domain. We consider the problem in a Bayesian estimation framework using the fact that the distribution of the wavelet ...
Ichir, Mahieddine, Mohammad-Djafari, Ali
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Learning Spatio-Temporal Information for Multi-Object Tracking
The robust multi-object tracking problem is a challenging issue in the field of computer vision. In this paper, we propose a multi-object tracking algorithm with temporal-spatial information and trajectory of confidence. The whole process is divided into
Jian Wei, Mei Yang, Feng Liu
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