In this research, we conduct a user study that compares different computer/system authentication methods. More specifically, we look into comparing regular password authentication with picture authentication. Picture authentication means selecting a sequence of pictures from a set of pictures (30). We present users with both interfaces; various metrics are tracked while the participants conduct a variety of user authentication-related tasks. Other metrics include user perception of security with such technologies.
Super-resolution magnetic resonance (MR) scans give anatomical data for quantitative analysis and treatment. The use of convolutional neural networks (CNNs) in image processing and deep learning research have led to super-resolution reconstruction methods based on deep learning. The study offers a G-guided generative multilevel network for training 3D neural networks with poorly sampled MR input data. The author suggest using super-resolution reconstruction (SRR) and modified sparse sampling to address these issues. Image-based Wasserstein GANs retain k-space data sparsity. Wasserstein Generative Adversarial Networks (WGANs) store and represent picture space knowledge. The method obtains null-valued k-space data and repairs fill gaps in the dataset to preserve data integrity. The proposed reconstruction method processes raw data samples and is able to perform subspace synchronization, deblurring, denoising, motion estimation, and super-resolution image production. The suggested algorithm uses different preprocessing methods to deblur and denoise datasets. Preliminary trials contextualize and speed up assessments. Results indicate that reconstructed pictures have better high-frequency features than sophisticated multi-frame techniques. This is supported by rising PSNR, MAE, and IEM measurements. A k-space correction block improves GAN network refinement learning in the suggested method. This block improves the network’s ability to avoid unnecessary data, speeding reconstruction. A k-space correction module can limit the generator’s output to critical lines, allowing the reconstruction of only missing lines. This improves convergence and speeds rebuilding. This study shows that this strategy reduces aliasing artifacts better than contemporaneous and noniterative methods.
This paper is a study of humorous and satirical image-texts found in eleven Chinese women’s online diaries composed between 2020 and 2022 during the time of COVID-19, including three from Wuhan, one from Xi’an, two from Chongqing, one from Chengdu, one composed by a Shanghainese, and three by New Yorkers. The diarists’ intersectional positionings as social worker, medical practitioner, interactive designer, unemployed grassroots organizer, overseas student, filmmaker, teacher, journalists, writers, and mothers from different cities in China and the United States inform their individual articulations of concerns about sociopolitical changes, pandemic situations, everyday life, as well as gender and class issues.Epidemic humor and satire in these lockdown narratives will be introduced in light of multidisciplinary methods, including sociological studies, political philosophy, psychological theory, and literary criticism. These feminine expressions of comic feelings point to communal laughter as a strategy for survival, subversion, and nonviolent resistance against unprecedented state surveillance and interventions in everyday life. As Sinophone literature continues to go global together with the spread of the disease, the Chinese diaries tend to be more politically satiric, as seen in Fang Fang’s Wuhan Diary and its English, German, and Japanese renditions, while the American–Chinese journals are rather humorous in terms of recording life, such as daily diet and necessities during the quarantine. This is due to cultural and situational differences, yet they have all exhibited their feminine sensitivity and sensibilities and formed a structure of feeling representing popular responses to the official discourse among digital citizens in the time of coronavirus.
Fabricating experimental pictures in research work is a serious academic misconduct, which should better be detected in the reviewing process. However, due to large number of submissions, the detection whether a picture is fabricated or reused is laborious for reviewers, and sometimes is indistinct with human eyes. A tool for detecting similarity between images may help to alleviate this problem. Some methods based on local feature points matching work for most of the time, while these methods may result in mess of matchings due to ignorance of global relationship between features. We present a framework to detect similar, or perhaps fabricated, pictures with the graph matching techniques. A new iterative method is proposed, and experiments show that such a graph matching technique is better than the methods based only on local features for some cases.
Aleksander Holynski, Brian Curless, Steven M. Seitz
et al.
In this paper, we demonstrate a fully automatic method for converting a still image into a realistic animated looping video. We target scenes with continuous fluid motion, such as flowing water and billowing smoke. Our method relies on the observation that this type of natural motion can be convincingly reproduced from a static Eulerian motion description, i.e. a single, temporally constant flow field that defines the immediate motion of a particle at a given 2D location. We use an image-to-image translation network to encode motion priors of natural scenes collected from online videos, so that for a new photo, we can synthesize a corresponding motion field. The image is then animated using the generated motion through a deep warping technique: pixels are encoded as deep features, those features are warped via Eulerian motion, and the resulting warped feature maps are decoded as images. In order to produce continuous, seamlessly looping video textures, we propose a novel video looping technique that flows features both forward and backward in time and then blends the results. We demonstrate the effectiveness and robustness of our method by applying it to a large collection of examples including beaches, waterfalls, and flowing rivers.
Abstract Objective Nurses and care workers who provide in-home services play important roles in assessing and providing care for older people who lack foot self-care abilities. We aimed to evaluate the development process and effects of a foot care program with educational tools for nurses and care workers as in-home service providers. This is a process evaluation with a descriptive mixed-methods study of quantitative and qualitative data conducted from July to October 2019 in Japan. Results Foot care education tools were developed to address the issues faced by participants with various work patterns and insufficient foot care education in Japan. The contents of these tools were discussed by a panel and reviewed by experts. Three outcomes were analyzed using descriptive statistics and Pearson’s correlation. Changes in foot care practice scores were significantly correlated with performance scores. The evaluations of five of the eight field nurses suggested that excess information was included in the foot care booklet. Overall, 29 nurses and care workers showed higher than average evaluation scores [3.8–4.1 (standard deviation, 0.62–0.91)] for the motion pictures and PowerPoint presentation. A program according to this conceptual framework must be established and periodically evaluated for refinement. Trial Registration The trial registration number for the University Hospital Medical Information Network is UMIN000036307. Registration Date—2019/07/25
We live in a society where the large majority of the population has a camera-equipped smartphone. In addition, hard drives and cloud storage are getting cheaper and cheaper, leading to a tremendous growth in stored personal photos. Unlike photo collections captured by a digital camera, which typically are pre-processed by the user who organizes them into event-related folders, smartphone pictures are automatically stored in the cloud. As a consequence, photo collections captured by a smartphone are highly unstructured and because smartphones are ubiquitous, they present a larger variability compared to pictures captured by a digital camera. To solve the need of organizing large smartphone photo collections automatically, we propose here a new methodology for hierarchical photo organization into topics and topic-related categories. Our approach successfully estimates latent topics in the pictures by applying probabilistic Latent Semantic Analysis, and automatically assigns a name to each topic by relying on a lexical database. Topic-related categories are then estimated by using a set of topic-specific Convolutional Neuronal Networks. To validate our approach, we ensemble and make public a large dataset of more than 8,000 smartphone pictures from 10 persons. Experimental results demonstrate better user satisfaction with respect to state of the art solutions in terms of organization.
Micro-Doppler-based target classification capabilities of the automotive radars can provide high reliability and short latency to the future active safety automotive features. A large number of pedestrians surrounding vehicle in practical urban scenarios mandate prioritization of their treat level. Classification between relevant pedestrians that cross the street or are within the vehicle path and those that are on the sidewalks and move along the vehicle rout can significantly minimize a number of vehicle-to-pedestrian accidents. This work proposes a novel technique for a pedestrian direction of motion estimation which treats pedestrians as complex distributed targets and utilizes their micro-Doppler (MD) radar signatures. The MD signatures are shown to be indicative of pedestrian direction of motion, and the supervised regression is used to estimate the mapping between the directions of motion and the corresponding MD signatures. In order to achieve higher regression performance, the state of the art sparse dictionary learning based feature extraction algorithm was adopted from the field of computer vision by drawing a parallel between the Doppler effect and the video temporal gradient. The performance of the proposed approach is evaluated in a practical automotive scenario simulations, where a walking pedestrian is observed by a multiple-input-multiple-output (MIMO) automotive radar with a 2D rectangular array. The simulated data was generated using the statistical Boulic-Thalman human locomotion model. Accurate direction of motion estimation was achieved by using a support vector regression (SVR) and a multilayer perceptron (MLP) based regression algorithms. The results show that the direction estimation error is less than $10^{\circ}$ in $95\%$ of the tested cases, for pedestrian at the range of $100$m from the radar.
This paper is concerned with possibility of recovery of motion and structure parameters from multiframes under perspective projection when only points on a rigid body are traced. Free (unrestricted and uncontrolled) pattern of motion between frames is assumed. The major question is how many points and/or how many frames are necessary for the task. It has been shown in an earlier paper {Klopotek:95b} that for orthogonal projection two frames are insufficient for the task. The paper demonstrates that, under perspective projection, that total uncertainty about relative position of focal point versus projection plane makes the recovery of structure and motion from two frames impossible.
Based on an identified quantum relativity symmetry the contraction of which gives the Newtonian approximation of Galilean relativity, a quantum model of the physical space can be formulated with the Newtonian space seen in a way as the classical approximation. Matching picture for the observable algebra as the corresponding representation of the group C* -algebra, describes the full dynamical pictures equally successfully. Extension of the scheme to a Lorentz covariant setting and beyond will also be addressed.The formulation of quantum mechanics allows the theory to be seen in a new picture in line with the notion of a noncommutative spacetime.
Modern research in content-based image retrieval systems (CIBR) has become progressively more focused on the richness of human semantics. Several approaches may be used to reduced the 'semantic gap' between the high-level human experience and the low level visual features of pictures. Object ontology, among others, is one of the methods. In this paper we investigate the use of a codified emotion ontology over global color features of images to annotate the images at a high semantic level. In order to speed up the annotation process the images are sampled so that each digital image is represented by a random subset of its content. We test within controlled conditions how this random subset may represent the adequate high level emotional concept presented in the image. We monitor this information reducing process with entropy measures, showing that controlled random sampling can capture with significant relevance high level concepts for picture representation.
Segundo a antropóloga Els Lagrou, a reivindicação das identidades indígenas contemporâneas passa pela adesão a um “regime específico de produção estética do
conhecimento”. Tomaremos tal “regime de produção” enquanto um território de pertencimento identitário para pensar a prática audiovisual em uma comunidade indígena da etnia xavante, localizada no Planalto Central do Brasil. A partir dessa questão, trabalha-se com filme média-metragem que mostra uma caminhada de adultos e crianças pela reserva, cujo destino final é a região de uma antiga aldeia. O local atualmente está fora dos limites do território demarcado e é ocupado por uma fazenda. Pensaremos no vídeo a relação entre imagem, memória e território, este último entendido como um
espaço ao mesmo tempo físico, identitário e imagético. O filme trabalha a história comunitária a partir do deslocamento físico no território, ao qual corresponde um
deslocamento no tempo na medida em que engendra a recuperação de uma memória. Esse duplo deslocamento projeta o olhar para o passado do território físico (a terra) de modo a ampliar as possibilidades de acesso ao território simbólico (a identidade) por meio da consolidação de um espaço imagético (o filme).
PESSOA, Fernando (2017). Argumentos para películas. Edición de Patricio Ferrari y Claudia J. Fischer; traducción de Guillermo López Gallego. Madrid: La Umbría y la Solana, 112 pp. ISBN: 978-84-946988-3-5.
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In [14], the second named author constructed the bracket invariant [.] of virtual knots valued in pictures (linear combinations of virtual knot diagrams with some crossing information omitted), such that for many diagrams K, the following formula holds: [K]=K', where K' is the underlying graph of the diagram, i.e., the value of the invariant on a diagram equals the diagram itself with some crossing information omitted. This phenomenon allows one to reduce many questions about virtual knots to questions about their diagrams. In [25], the authors discovered the following phenomenon: having a biquandle colouring of a certain knot, one can enhance various state-sum invariants (say, Kauffman bracket) by using various coefficients depending on colours. Taking into account that the parity can be treated in terms of biquandles, we bring together the two ideas from these papers and construct the the picture-valued parity biquandle bracket for classical and virtual knots. This is an invariant of virtual knots valued in pictures. Both the parity bracket and Nelson-Orrison-Rivera invariants are partial cases of this invariants, hence this invariant enjoys many properties of various kinds.
Este artigo aborda algumas experiências criativas desenvolvidas dentro do projeto em andamento “Viagens, viajantes e imagens em movimento”, iniciado pela autora em 1993, sob o título D’Estradas, com a realização do documentário Passante, sobre personagens das estradas brasileiras e, posteriormente, de Mundança, acerca de viajantes sem destino certo nos trens da extinta FEPASA, ambos premiados pela Secretaria de Cultura do Estado de São Paulo. A despeito de seu caráter predominantemente documental e histórico, esse projeto engloba, além dos documentários citados, alguns trabalhos de ficção audiovisual e uma instalação interativa, realizados a partir do mesmo material bruto, tendo a montagem/edição como um ato criativo fundamental, uma escrita com imagens e sons.