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Journal articles on the topic 'Visual transformation'

Author: Grafiati

Published: 4 June 2021

Last updated: 9 June 2025

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1

Issers, Oxana. "Potential of Transformations in Polycode Internet Meme Within the Event-Related Context of 2020." Vestnik Volgogradskogo gosudarstvennogo universiteta. Serija 2. Jazykoznanije, no. 2 (June 2021): 26–41. http://dx.doi.org/10.15688/jvolsu2.2021.2.3.

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The article deals with a specific polycode text that functions in the field of virtual communication – Internet meme. The focus is on its regular transformations. Considering possible methodological approaches to the analysis of this phenomenon, the author comes to the conclusion about the efficiency of using the methodology of intertext linguistic theory. The essential characteristic of a meme is its transformational potential, which allows to create new meanings and use this communication unit in a wide range of relevant contexts. The polycode structure of a meme determines the spectrum of its potential transformations by changing the verbal and visual elements. The material of observations was one of the most popular memes of 2020 – "Get up, Natasha, we dropped everything". The author identifies 8 meme transformations, which can be considered as regular: development of the visuals with the addition of a verbal element; contraction of the visuals with the same verbal element / transformation of the verbal element; the reframing of the context; pragmatic transformation; intertextual transformation, including the effect of meta-communication; reduction of the image with the same visual markers; reframing with the change of verbal and visual elements; adaptation of the meme in the media texts. The latter transformation indicates the successful inclusion of the Internet meme as a communication element of network coverse in modern discursive practices.

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Robinett, Warren, and Richard Holloway. "The Visual Display Transformation for Virtual Reality." Presence: Teleoperators and Virtual Environments 4, no. 1 (January 1995): 1–23. http://dx.doi.org/10.1162/pres.1995.4.1.1.

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The visual display transformation for virtual reality (VR) systems is typically much more complex than the standard viewing transformation discussed in the literature for conventional computer graphics. The process can be represented as a series of transformations, some of which contain parameters that must match the physical configuration of the system hardware and the user's body. Because of the number and complexity of the transformations, a systematic approach and a thorough understanding of the mathematical models involved are essential. This paper presents a complete model for the visual display transformation for a VR system; that is, the series of transformations used to map points from object coordinates to screen coordinates. Virtual objects are typically defined in an object-centered coordinate system (CS), but must be displayed using the screen-centered CSs of the two screens of a head-mounted display (HMD). This particular algorithm for the VR display computation allows multiple users to independently change position, orientation, and scale within the virtual world, allows users to pick up and move virtual objects, uses the measurements from a head tracker to immerse the user in the virtual world, provides an adjustable eye separation for generating two stereoscopic images, uses the off-center perspective projection required by many HMDs, and compensates for the optical distortion introduced by the lenses in an HMD. The implementation of this framework as the core of the UNC VR software is described, and the values of the UNC display parameters are given. We also introduce the vector-quaternion-scalar (VQS) representation for transformations between 3D coordinate systems, which is specifically tailored to the needs of a VR system. The transformations and CSs presented comprise a complete framework for generating the computer-graphic imagery required in a typical VR system. The model presented here is deliberately abstract in order to be general purpose; thus, issues of system design and visual perception are not addressed. While the mathematical techniques involved are already well known, there are enough parameters and pitfalls that a detailed description of the entire process should be a useful tool for someone interested in implementing a VR system.

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Costa, Marco. "Visual Tension." Perception 49, no. 11 (October 13, 2020): 1213–34. http://dx.doi.org/10.1177/0301006620963753.

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Although tension perception is well investigated in the music domain, its determinants in visual displays are still largely unexplored. Furthermore, the distinctive role of tension and arousal in affect theory is still debated. The study aimed to assess how geometrical and graphical transformations of basic visual shapes can affect perceived tension and arousal. The geometrical transformations were angle amplitude, rotation, position within a frame, symmetry, verticality, angularity, size, and regularity in spacing, while the graphical transformation regarded contrast. The sample included 122 participants. Perceived tension was significantly higher in angles with small amplitude, squares that were slightly rotated and not in the upright position, the upper and right areas within a rectangle, angular shapes, high-contrasted graphical transitions, asymmetrical shapes, vertical shapes, and dot patterns with irregular spacing. Overall, there was a moderate correlation between perception of tension and perception of arousal, although in some specific features, tension exhibited a dissociation from arousal, suggesting a distinctive role of tension in affect theory.

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Miao, Xu, and Rajesh P. N. Rao. "Learning the Lie Groups of Visual Invariance." Neural Computation 19, no. 10 (October 2007): 2665–93. http://dx.doi.org/10.1162/neco.2007.19.10.2665.

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A fundamental problem in biological and machine vision is visual invariance: How are objects perceived to be the same despite transformations such as translations, rotations, and scaling? In this letter, we describe a new, unsupervised approach to learning invariances based on Lie group theory. Unlike traditional approaches that sacrifice information about transformations to achieve invariance, the Lie group approach explicitly models the effects of transformations in images. As a result, estimates of transformations are available for other purposes, such as pose estimation and visuomotor control. Previous approaches based on first-order Taylor series expansions of images can be regarded as special cases of the Lie group approach, which utilizes a matrix-exponential-based generative model of images and can handle arbitrarily large transformations. We present an unsupervised expectation-maximization algorithm for learning Lie transformation operators directly from image data containing examples of transformations. Our experimental results show that the Lie operators learned by the algorithm from an artificial data set containing six types of affine transformations closely match the analytically predicted affine operators. We then demonstrate that the algorithm can also recover novel transformation operators from natural image sequences. We conclude by showing that the learned operators can be used to both generate and estimate transformations in images, thereby providing a basis for achieving visual invariance.

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5

Pedersen, Pia. "Representing transformation through visual experimentation." InfoDesign - Revista Brasileira de Design da Informação 11, no. 3 (December 26, 2014): 273–90. http://dx.doi.org/10.51358/id.v11i3.275.

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Garg, Ankit, Ashish Negi, and Geeta Chauhan. "Analysis of Iterated Affine Transformation Function and Linear Mapping for Content Preservation." International Journal of Engineering & Technology 7, no. 4.19 (November 27, 2018): 50–57. http://dx.doi.org/10.14419/ijet.v7i4.19.22014.

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In image scaling contents of image can be distorted which are required to preserve using linear mapping. Geometric transformations can preserve structural properties i.e. parallelism, colinearity and orientation. It is highly desirable to preserve structural properties of image contents because human visual system is very sensitive to distortion of objects. In this paper image scaling is performed using iterative affine transformation and results show that linear mapping function applied on affine space preserve affine properties under affine transformation. A number of scaling operations are applied on image using iterative affine transformation and for each iteration linear mapping is performed to preserved object structure. Analysis present in this paper shows that in image scaling preservation of image content is possible under iterative affine transformation and linear mapping. Image artifacts can be minimize using saliency based antialiasing algorithm after affine transformation.Â Â

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7

Żernicki, Bogusław. "Reversal of visual discrimination and visual acute extinction in cats with poor or limited early visual experience." Acta Neurobiologiae Experimentalis 57, no. 4 (December 31, 1997): 323–28. http://dx.doi.org/10.55782/ane-1997-1241.

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Transformation of visual instrumental conditioned reflexes rewarded with food was compared in cats binocularly deprived of pattern vision in the early period of life (BD cats), control cats reared also in the laboratory but with open eyes (C cats) and cats reared in normal environment (N cats). In Expt. I the cats were given 4 sequential reversal trainings of cross vs. disc discrimination and in Expt. II a response to a gate marked with a cross or a disc was submitted to 4 sequential acute extinctions and restorations. The results show that both visual deprivation and rearing in monotonous laboratory environment moderately affect transformation of associations between visual stimuli and hunger drive and instrumental responses. However, in BD cats transformation learning is less impaired than previously studied visual discrimination learning.

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Sülzenbrück, Sandra. "The Impact of Visual Feedback Type on the Mastery of Visuo-Motor Transformations." Zeitschrift für Psychologie 220, no. 1 (January 2012): 3–9. http://dx.doi.org/10.1027/2151-2604/a000084.

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For the effective use of modern tools, the inherent visuo-motor transformation needs to be mastered. The successful adjustment to and learning of these transformations crucially depends on practice conditions, particularly on the type of visual feedback during practice. Here, a review about empirical research exploring the influence of continuous and terminal visual feedback during practice on the mastery of visuo-motor transformations is provided. Two studies investigating the impact of the type of visual feedback on either direction-dependent visuo-motor gains or the complex visuo-motor transformation of a virtual two-sided lever are presented in more detail. The findings of these studies indicate that the continuous availability of visual feedback supports performance when closed-loop control is possible, but impairs performance when visual input is no longer available. Different approaches to explain these performance differences due to the type of visual feedback during practice are considered. For example, these differences could reflect a process of re-optimization of motor planning in a novel environment or represent effects of the specificity of practice. Furthermore, differences in the allocation of attention during movements with terminal and continuous visual feedback could account for the observed differences.

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Henry, Steve. "A Visual Map of Learner Transformation." Scope: Contemporary Research Topics (Work-based Learning), no. 6 (2024): 38–41. http://dx.doi.org/10.34074/scop.6006014.

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Földiák, Peter. "Learning Invariance from Transformation Sequences." Neural Computation 3, no. 2 (June 1991): 194–200. http://dx.doi.org/10.1162/neco.1991.3.2.194.

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The visual system can reliably identify objects even when the retinal image is transformed considerably by commonly occurring changes in the environment. A local learning rule is proposed, which allows a network to learn to generalize across such transformations. During the learning phase, the network is exposed to temporal sequences of patterns undergoing the transformation. An application of the algorithm is presented in which the network learns invariance to shift in retinal position. Such a principle may be involved in the development of the characteristic shift invariance property of complex cells in the primary visual cortex, and also in the development of more complicated invariance properties of neurons in higher visual areas.

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Sytykh, Olga Leonidovna. "From logos to image: the trends in transformation of modern culture." Философия и культура, no. 2 (February 2021): 1–11. http://dx.doi.org/10.7256/2454-0757.2021.2.35209.

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The subject of this study is the transformation of modern culture associated with the visual turn. Using the dialectical method and systemic analysis, the author determines the trends in transformation of modern culture. The goal of article is to demonstrate the essence such changes, their vector and impact upon individual and society. The factors of transformation, its manifestations, and consequences are revealed. The works of the representatives of philosophy, culturology, sociology, history, etc. comprise the theoretical framework for this research. The empirical base contains the results of sociological survey conducted 2020 on the premises of two universities in the Altai Krai. The novelty consists in identification of the trends of cultural transformation under the influence of visual turn, their positive and negative consequences for individual and society, as well as generalization of numerous manifestations of these trends. The main conclusion of this study is the author's position about serious and contradictory transformations in society under the influence of visual rotation. The impact of visual rotation has both positive and negative development trends and their consequences. Among the positive effects of the visual turn, the author highlights stimulation of the development of visual thinking, which depends on functioning of the right brain. The author also indicates negative consequences of the visual transformation of culture. Perception through images weans people from thinking. Receiving information through images, rather than through speech, increases the clipping nature of consciousness. This entails the possibility of formation of an individual subject to manipulation. The presentation of images on the Internet and arrangement of visual series develops the habit of expecting &ldquo;the solution of your problems by someone else&rdquo; in the situation of choice. Another consequence of the transition from logos to image is the formation of prerequisites for &ldquo;easy&rdquo; submersion into virtual situations.

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Failor, Samuel W., Matteo Carandini, and Kenneth D. Harris. "Visual experience orthogonalizes visual cortical stimulus responses via population code transformation." Cell Reports 44, no. 2 (February 2025): 115235. https://doi.org/10.1016/j.celrep.2025.115235.

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Edwards, Laurie D. "Children's Learning in a Computer Microworld for Transformation Geometry." Journal for Research in Mathematics Education 22, no. 2 (March 1991): 122–37. http://dx.doi.org/10.5951/jresematheduc.22.2.0122.

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Twelve middle school students working in pairs used a computer microworld to explore an introductory curriculum in transformation geometry. The microworld linked a symbolic representation (a set of simple Logo commands) with a visual display that showed the effects of each transformation. Worksheets were designed with the objective of encouraging the students to find and express mathematical patterns in the domain. The students were successful in constructing an accurate working understanding of the transformations. There was a tendency for symbolic overgeneralization in some activities, but the students were able to use visual feedback from the microworld and discussions with their partners to correct their own errors.

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Wan, Quan, Jorge A. Menendez, and Bradley R. Postle. "Priority-based transformations of stimulus representation in visual working memory." PLOS Computational Biology 18, no. 6 (June 2, 2022): e1009062. http://dx.doi.org/10.1371/journal.pcbi.1009062.

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How does the brain prioritize among the contents of working memory (WM) to appropriately guide behavior? Previous work, employing inverted encoding modeling (IEM) of electroencephalography (EEG) and functional magnetic resonance imaging (fMRI) datasets, has shown that unprioritized memory items (UMI) are actively represented in the brain, but in a “flipped”, or opposite, format compared to prioritized memory items (PMI). To acquire independent evidence for such a priority-based representational transformation, and to explore underlying mechanisms, we trained recurrent neural networks (RNNs) with a long short-term memory (LSTM) architecture to perform a 2-back WM task. Visualization of LSTM hidden layer activity using Principal Component Analysis (PCA) confirmed that stimulus representations undergo a representational transformation–consistent with a flip—while transitioning from the functional status of UMI to PMI. Demixed (d)PCA of the same data identified two representational trajectories, one each within a UMI subspace and a PMI subspace, both undergoing a reversal of stimulus coding axes. dPCA of data from an EEG dataset also provided evidence for priority-based transformations of the representational code, albeit with some differences. This type of transformation could allow for retention of unprioritized information in WM while preventing it from interfering with concurrent behavior. The results from this initial exploration suggest that the algorithmic details of how this transformation is carried out by RNNs, versus by the human brain, may differ.

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Roberts, Phillip. "Control and transformation in early visual culture." Early Popular Visual Culture 12, no. 2 (April 3, 2014): 83–103. http://dx.doi.org/10.1080/17460654.2014.925253.

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Varró, Dániel, Gergely Varró, and András Pataricza. "Designing the automatic transformation of visual languages." Science of Computer Programming 44, no. 2 (August 2002): 205–27. http://dx.doi.org/10.1016/s0167-6423(02)00039-4.

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Avazpour, Iman, John Grundy, and Hai L. Vu. "Generating Reusable Visual Notations Using Model Transformation." International Journal of Software Engineering and Knowledge Engineering 25, no. 02 (March 2015): 277–305. http://dx.doi.org/10.1142/s0218194015400100.

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Visual notations are a key aspect of visual languages. They provide a direct mapping between the intended information and set of graphical symbols. Visual notations are most often implemented using the low level syntax of programming languages which is time consuming, error prone, difficult to maintain and hardly human-centric. In this paper we describe an alternative approach to generating visual notations using by-example model transformations. In our new approach, a semantic mapping between model and view is implemented using model transformations. The notations resulting from this approach can be reused by mapping varieties of input data to their model and can be composed into different visualizations. Our approach is implemented in the CONVErT framework and has been applied to many visualization examples. Three case studies for visualizing statistical charts, visualization of traffic data, and reuse of a Minard's map visualization's components, are presented in this paper. A detailed user study of our approach for reusing notations and generating visualizations has been provided. 80% of the participants in this user study agreed that the novel approach to visualization was easy and 87% stated that they quickly learned to use the tool support.

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Cai, Yang, Richard Stumpf, Timothy Wynne, Michelle Tomlinson, Daniel Sai Ho Chung, Xavier Boutonnier, Matthias Ihmig, Rafael Franco, and Nathaniel Bauernfeind. "Visual transformation for interactive spatiotemporal data mining." Knowledge and Information Systems 13, no. 2 (March 21, 2007): 119–42. http://dx.doi.org/10.1007/s10115-007-0075-5.

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Smith, Michael A., and J. Douglas Crawford. "Distributed Population Mechanism for the 3-D Oculomotor Reference Frame Transformation." Journal of Neurophysiology 93, no. 3 (March 2005): 1742–61. http://dx.doi.org/10.1152/jn.00306.2004.

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Human saccades require a nonlinear, eye orientation–dependent reference frame transformation to transform visual codes to the motor commands for eye muscles. Primate neurophysiology suggests that this transformation is performed between the superior colliculus and brain stem burst neurons, but provides little clues as to how this is done. To understand how the brain might accomplish this, we trained a 3-layer neural net to generate accurate commands for kinematically correct 3-D saccades. The inputs to the network were a 2-D, eye-centered, topographic map of Gaussian visual receptive fields and an efference copy of eye position in 6-dimensional, push–pull “neural integrator” coordinates. The output was an eye orientation displacement command in similar coordinates appropriate to drive brain stem burst neurons. The network learned to generate accurate, kinematically correct saccades, including the eye orientation–dependent tilts in saccade motor error commands required to match saccade trajectories to their visual input. Our analysis showed that the hidden units developed complex, eye-centered visual receptive fields, widely distributed fixed-vector motor commands, and “gain field”–like eye position sensitivities. The latter evoked subtle adjustments in the relative motor contributions of each hidden unit, thereby rotating the population motor vector into the correct correspondence with the visual target input for each eye orientation: a distributed population mechanism for the visuomotor reference frame transformation. These findings were robust; there was little variation across networks with between 9 and 49 hidden units. Because essentially the same observations have been reported in the visuomotor transformations of the real oculomotor system, as well as other visuomotor systems (although interpreted elsewhere in terms of other models) we suggest that the mechanism for visuomotor reference frame transformations identified here is the same solution used in the real brain.

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Kasik, David J., David Ebert, Guy Lebanon, Haesun Park, and William M. Pottenger. "Data Transformations and Representations for Computation and Visualization." Information Visualization 8, no. 4 (January 2009): 275–85. http://dx.doi.org/10.1057/ivs.2009.27.

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At the core of successful visual analytics systems are computational techniques that transform data into concise, human comprehensible visual representations. The general process often requires multiple transformation steps before a final visual representation is generated. This article characterizes the complex raw data to be analyzed and then describes two different sets of transformations and representations. The first set transforms the raw data into more concise representations that improve the performance of sophisticated computational methods. The second transforms internal representations into visual representations that provide the most benefit to an interactive user. The end result is a computing system that enhances an end user's analytic process with effective visual representations and interactive techniques. While progress has been made on improving data transformations and representations, there is substantial room for improvement.

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Gao, Peipei, Feng Liu, Xizhi Sun, Fang Wang, and Jiajun Li. "Rapid non-contact visual measurement method for key dimensions of revolving workpieces." International Journal of Metrology and Quality Engineering 12 (2021): 10. http://dx.doi.org/10.1051/ijmqe/2021008.

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Aimed at the rapid non-contact measurement problem of a revolving workpiece's radial and axial dimensions, a fast and high-precision visual inspection method has been presented in this paper. For the workpiece with large axial size, the proposed method established the measurement transformation chain using the object-image and object-object transformations, thus realizing the rapid axial dimensional measurements. For the workpiece with large radial size, this method determined the measurement transformation model based on two-dimensional target and measurement correspondence relationship, and further achieved rapid radial dimensional measurements. The experimental results have shown that the method is effective and can be applied to in situ dimensional measurement of revolving workpieces on high quality production lines.

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Andreallo, Fiona. "The selfie generation: a transformation of visual social relationships." Vista, no. 4 (July 30, 2019): 153–71. http://dx.doi.org/10.21814/vista.3019.

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The selfie generation is a term commonly used to describe people born after 1981 because of the supposed proliferation of selfies they take daily. If Selfies indeed define a generation of people, then they require close consideration as an evolution of social interaction. This interdisciplinary study focuses on photography as performance of looking involving social relationships between people. I ask “How might selfies suggest a transformation of everyday social relationships?” The selfie as active photographic performance is first examined through illustrative ethnographic observation. Then as performative photographic object the selfie is examined as interactive (Kress & Van Leeuwen’s, 2006, 2009) visual communication. Finally, the performative spaces of the selfie in process (from initial performance, to object and as it is shared and moves between private and public spaces) is examined as relationships of proxemic perception (Hall, 1966). For the selfie generation the private spaces in social relationships has perhaps evolved not simply because of changes in photographic technology, but also new spaces of socialising where private and public contexts are often blurred and unfixed.

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Zeng, Tingjun. "Research on the Digital Transformation of Guochao Brand Image Driven by Visual Communication Design." Highlights in Art and Design 5, no. 2 (March 16, 2024): 45–48. http://dx.doi.org/10.54097/hiaad.v5n2.09.

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With the development of digital technology, the digital transformation of Guochao brand image has become an inevitable trend. Visual communication design plays a key role in this. This study takes the "Longmen" brand packaging design as an example to explore the digital transformation of national fashion brands driven by visual communication design. The article analyzes the background of digital transformation and defines the concept of visual communication. At the same time, discussions were held on the digital transformation of Guochao brand image and application strategies were proposed. Through an in-depth study of the historical and cultural connotations of the "Longmen" brand, it provides theoretical and practical guidance for the digital transformation of national fashion brands, while providing reference and inspiration for visual communication design and brand management research.

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Sukhov, A. O. "Domain-Specific Language for Visual Models Transformation Creation." PROGRAMMNAYA INGENERIA 8, no. 9 (September 14, 2017): 396–406. http://dx.doi.org/10.17587/prin.8.396-406.

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Olivier, Gerard, and Jean Louis Juan De Mendoza. "Motor Dimension of Visual Mental Image Transformation Processes." Perceptual and Motor Skills 90, no. 3 (June 2000): 1008–26. http://dx.doi.org/10.2466/pms.2000.90.3.1008.

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Rensink, R. A. "The Invariance of Visual Search to Geometric Transformation." Journal of Vision 4, no. 8 (August 1, 2004): 178. http://dx.doi.org/10.1167/4.8.178.

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Liu, Huan, Qinghua Zheng, Minnan Luo, Xiaojun Chang, Caixia Yan, and Lina Yao. "Memory transformation networks for weakly supervised visual classification." Knowledge-Based Systems 210 (December 2020): 106432. http://dx.doi.org/10.1016/j.knosys.2020.106432.

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Makarychev, V. "Visual Servoing Based on Theory of Transformation Group." Procedia Computer Science 103 (2017): 183–89. http://dx.doi.org/10.1016/j.procs.2017.01.054.

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Putten, Michel J. A. M. van. "WO24 Visual transformation of EEG in the ICU." Clinical Neurophysiology 119 (May 2008): S49—S50. http://dx.doi.org/10.1016/s1388-2457(08)60184-4.

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de Lara, Juan, and Hans Vangheluwe. "Automating the transformation-based analysis of visual languages." Formal Aspects of Computing 22, no. 3 (May 19, 2009): 297–326. http://dx.doi.org/10.1007/s00165-009-0114-y.

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Alter-Gartenberg, R. "Nonlinear dynamic range transformation in visual communication channels." IEEE Transactions on Image Processing 5, no. 3 (March 1996): 538–46. http://dx.doi.org/10.1109/83.491328.

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Preuss, N., L. R. Harris, and F. W. Mast. "Allocentric visual cues influence mental transformation of bodies." Journal of Vision 13, no. 12 (October 16, 2013): 14. http://dx.doi.org/10.1167/13.12.14.

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Krapp, Holger G. "Sensorimotor Transformation: From Visual Responses to Motor Commands." Current Biology 20, no. 5 (March 2010): R236—R239. http://dx.doi.org/10.1016/j.cub.2010.01.024.

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Lenchuk, Ivan G., та Anatolyii Ts Franovskyi. "КОМП’ЮТЕРНЕ МОДЕЛЮВАННЯ ЗАДАЧ ПЛАНІМЕТРІЇ: МЕТОД ІНВЕРСІЇ". Information Technologies and Learning Tools 56, № 6 (30 грудня 2016): 88. http://dx.doi.org/10.33407/itlt.v56i6.1485.

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The article actualizes the problem of studying the transformations of geometric shapes in plane geometry and an effective, economical time visual representation of students of pedagogical universities (students of secondary schools - in classes with profound study of mathematics) on modern PC displays screens algorithms step by step tasks on the construction of the "circular" by inversion . Previously developed educational software (partially, the software GeoGebra) guarantees optimal quality rendering problems in the theory transformation "Inversion" and simulation of different visual situations and their dynamics and the structural features - precision, visibly clear visual-figurative of steps "analysis" and "building" in problems.

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Gao, Jingjing. "Digital Transformation: Visual Analysis Based on CNKI and Citespace." Modern Economics & Management Forum 5, no. 2 (May 7, 2024): 188. http://dx.doi.org/10.32629/memf.v5i2.1959.

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In order to cope with the new situation and new challenges, all fields of economy and society need to grasp the new opportunities of digital development and accelerate digital transformation. Focusing on the theme of "digital transformation", this paper uses CiteSpace 6.2.4 software to visualize and analyze the knowledge graph of 1,898 documents in CNKI database from 2010 to 2023. The study found that: the number of digital transformation literature has shown a significant growth trend in recent years. The partnership between scholars and institutions has to be strengthened. The research hotspots mainly cover four major themes, namely, industrial digitalization, digital governance, digital publishing, and higher education, and the hotspot evolution has shifted from the initial digital publishing and digital transformation to the research on the digital economy and enterprise digitalization. Based on the findings of the study, an outlook for future digital transformation research is proposed.

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Huang, Ellen. "An Art of Transformation." Archives of Asian Art 68, no. 2 (October 1, 2018): 133–56. http://dx.doi.org/10.1215/00666637-7162228.

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Abstract This article examines the phenomenon of yaobian 窯變, or kiln transformations, in late imperial and early modern China as material epistemology and material practice. By providing a genealogical analysis of documentations of yaobian in late imperial texts spanning the twelfth through the nineteenth centuries, the article relates their supernatural connotations to the production of Qing-period Jingdezhen Jun-style wares, variously known as flambé wares or kiln transmutation glazes. The article advances that the significance of such eighteenth-century yaobian porcelain wares lies in their very inexplicability of craftsmanship and ability to index both physical transformation as well as infinite formal transformation for the Qing empire, particularly during the reign of the Qianlong emperor (1736–1795).

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Jakola, Asgeir S., David Bouget, Ingerid Reinertsen, Anne J. Skjulsvik, Lisa Millgård Sagberg, Hans Kristian Bø, Sasha Gulati, Kristin Sjåvik, and Ole Solheim. "Spatial distribution of malignant transformation in patients with low-grade glioma." Journal of Neuro-Oncology 146, no. 2 (January 2020): 373–80. http://dx.doi.org/10.1007/s11060-020-03391-1.

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Abstract Background Malignant transformation represents the natural evolution of diffuse low-grade gliomas (LGG). This is a catastrophic event, causing neurocognitive symptoms, intensified treatment and premature death. However, little is known concerning the spatial distribution of malignant transformation in patients with LGG. Materials and methods Patients histopathological diagnosed with LGG and subsequent radiological malignant transformation were identified from two different institutions. We evaluated the spatial distribution of malignant transformation with (1) visual inspection and (2) segmentations of longitudinal tumor volumes. In (1) a radiological transformation site < 2 cm from the tumor on preceding MRI was defined local transformation. In (2) overlap with pretreatment volume after importation into a common space was defined as local transformation. With a centroid model we explored if there were particular patterns of transformations within relevant subgroups. Results We included 43 patients in the clinical evaluation, and 36 patients had MRIs scans available for longitudinal segmentations. Prior to malignant transformation, residual radiological tumor volumes were > 10 ml in 93% of patients. The transformation site was considered local in 91% of patients by clinical assessment. Patients treated with radiotherapy prior to transformation had somewhat lower rate of local transformations (83%). Based upon the segmentations, the transformation was local in 92%. We did not observe any particular pattern of transformations in examined molecular subgroups. Conclusion Malignant transformation occurs locally and within the T2w hyperintensities in most patients. Although LGG is an infiltrating disease, this data conceptually strengthens the role of loco-regional treatments in patients with LGG.

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Zhang, Yong. "The Composition and Visual Transformation of Huxiang Cultural Factor." Asian Journal of Social Science Studies 7, no. 6 (June 1, 2022): 11. http://dx.doi.org/10.20849/ajsss.v7i6.1196.

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There is a complementary relationship between Huxiang cultural resources and design. The effective combination of the two can better show the visual transformation effect and cultural connotation of the design. At the same time, it can enhance the value and connotation of the design object, so as to realize the development and protection of culture. Therefore, the visual transformation, integration and development of Huxiang culture have a broader prospect, which is worth further study. This paper analyzes the composition of Huxiang culture factors, and carries out the transformation of modern visual design. It also elaborates the identification and extraction, design and transformation of Huxiang cultural factors, hoping to provide positive exploration and thinking for the protection and inheritance of our traditional culture.

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Cruciata, Giorgio, Liliana Lo Presti, and Marco La Cascia. "Iterative Multiple Bounding-Box Refinements for Visual Tracking." Journal of Imaging 8, no. 3 (March 3, 2022): 61. http://dx.doi.org/10.3390/jimaging8030061.

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Single-object visual tracking aims at locating a target in each video frame by predicting the bounding box of the object. Recent approaches have adopted iterative procedures to gradually refine the bounding box and locate the target in the image. In such approaches, the deep model takes as input the image patch corresponding to the currently estimated target bounding box, and provides as output the probability associated with each of the possible bounding box refinements, generally defined as a discrete set of linear transformations of the bounding box center and size. At each iteration, only one transformation is applied, and supervised training of the model may introduce an inherent ambiguity by giving importance priority to some transformations over the others. This paper proposes a novel formulation of the problem of selecting the bounding box refinement. It introduces the concept of non-conflicting transformations and allows applying multiple refinements to the target bounding box at each iteration without introducing ambiguities during learning of the model parameters. Empirical results demonstrate that the proposed approach improves the iterative single refinement in terms of accuracy and precision of the tracking results.

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Xu, Pengcheng, Qingnan Fan, Fei Kou, Shuai Qin, Hong Gu, Ruoyu Zhao, Charles Ling, and Boyu Wang. "Textualize Visual Prompt for Image Editing via Diffusion Bridge." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 20 (April 11, 2025): 21779–87. https://doi.org/10.1609/aaai.v39i20.35483.

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Visual prompt, a pair of before-and-after edited images, can convey indescribable imagery transformations and prosper in image editing. However, current visual prompt methods rely on a pretrained text-guided image-to-image generative model that requires a triplet of text, before, and after images for retraining over a text-to-image model. Such crafting triplets and retraining processes limit the scalability and generalization of editing. In this paper, we present a framework based on any single text-to-image model without reliance on the explicit image-to-image model thus enhancing the generalizability and scalability. Specifically, by leveraging the probability-flow ordinary equation, we construct a diffusion bridge to transfer the distribution between before-and-after images under the text guidance. By optimizing the text via the bridge, the framework adaptively textualizes the editing transformation conveyed by visual prompts into text embeddings without other models. Meanwhile, we introduce differential attention control during optimization, which disentangles the text embedding from the invariance of the before-and-after images and makes it solely capture the delicate transformation and generalize to edit various images. Experiments on real images validate competitive results on the generalization, contextual coherence, and high fidelity for delicate editing with just one image pair as the visual prompt.

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Ratnamala1, T. "Linguistic to 3d Transformation." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 02 (February 6, 2025): 1–9. https://doi.org/10.55041/ijsrem41406.

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Converting linguistic input into 3D models is a complex and multifaceted task that requires the integration of several advanced technologies. Natural language processing (NLP) is used to understand and interpret the user's descriptions, while computer vision techniques help in recognizing and processing visual information. 3D rendering techniques are then employed to create the final 3D models.

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Sun, Carol. "Transformation Parlor." Art Journal 60, no. 3 (September 2001): 42–47. http://dx.doi.org/10.1080/00043249.2001.10792076.

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Sun, Carol. "Transformation Parlor." Art Journal 60, no. 3 (2001): 42. http://dx.doi.org/10.2307/778136.

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Kudaynazarova Dilnaz Koshkarbaevna. "DIGITAL TRANSFORMATION OF MANUFACTURING." Innovation Science and Technology 1, no. 1 (January 23, 2025): 48–53. https://doi.org/10.55439/ist/vol1_iss1/6.

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This paper explores the transformative impact of digital technologies on the manufacturing industry, focusing onkey innovations, challenges, and future trends. Emphasis is placed on Industry 4.0 components, including the Internet ofThings (IoT), Artifcial Intelligence (AI), and cloud computing. The research highlights case studies, statistical analyses,and visual aids to present a comprehensive view of how digital transformation is reshaping manufacturing landscapesglobally

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Kalantar, Negar, and Alireza Borhani. "Studio in Transformation: Transformation in Studio." Journal of Architectural Education 70, no. 1 (January 2, 2016): 107–15. http://dx.doi.org/10.1080/10464883.2016.1122497.

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Korzina, Maria Igorevna. "Transformation of Visual Communications during the Fourth Industrial Revolution." Общество: философия, история, культура, no. 11 (November 13, 2020): 36–41. http://dx.doi.org/10.24158/fik.2020.11.5.

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The paper provides a philosophical analysis of the transformation processes of visual communications in the framework of such a hypothetical phenome-non as the fourth industrial revolution. In the condi-tions of the digital revolution, visual communication gets an incentive to develop, acquires new proper-ties in the new conditions of development of post-industrial and digital society. As a scientific disci-pline, visual communication is at the stage of full-scale development and search for interdisciplinary connections. The author examines the history of visual communications from the Ancient world to the present, identifies their main features at the pre-sent stage of development, and analyzes the exam-ple of virtualization of a Museum exhibition because of modern transformation of the communication environment.

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Putri, Octavina Rizky Utami, and Minatun Nadlifah. "Proses Transformasi Visual ke Simbolik Mahasiswa dalam Menyelesaikan Masalah Luas Daerah di Bawah Kurva." Jurnal Elemen 7, no. 2 (July 21, 2021): 425–37. http://dx.doi.org/10.29408/jel.v7i2.3534.

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Mathematical representation is an idea interpretation form of solving mathematical problems. The process of mathematical representation is essential to pay attention to, especially in carrying out transformations between forms of representation, because it impacts the final solution obtained. This study describes the flow of students' thinking in carrying out the transformation process from visual to symbolic representation. This descriptive research was carried out with a qualitative approach. This research phase includes preparing representation tests and interview guidelines, giving tests to 48 students, conducting interviews with selected students based on the accuracy of the mathematical representations produced, and evaluation. The evaluation is carried out by reducing the results of the incorrect representation test, presenting visual and symbolic representation data and the transformation process, and concluding the transformation process. The result of the transformation process from visual to symbolic representation in solving the problem of the area under the curve is carried out with a flow of thought, namely translating the shape of the polygon area into a collection of rectangles, determining the width and length of the partition of the polygon area, and determining the area of the polygon area as a collection of rectangles. In determining the area as a collection of rectangles, there are two different processes, making a mathematical model in the form of sigma notation and addition. This study provides insight into the flow of thinking in changing between forms of mathematical representation in the hope that it can anticipate errors in solving the broad problem under the curve.

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Chan, Ka-Hou, and Sio-Kei Im. "GAT-Based Bi-CARU with Adaptive Feature-Based Transformation for Video Summarisation." Technologies 12, no. 8 (August 5, 2024): 126. http://dx.doi.org/10.3390/technologies12080126.

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Nowadays, video is a common social media in our lives. Video summarisation has become an interesting task for information extraction, where the challenge of high redundancy of key scenes leads to difficulties in retrieving important messages. To address this challenge, this work presents a novel approach called the Graph Attention (GAT)-based bi-directional content-adaptive recurrent unit model for video summarisation. The model makes use of the graph attention approach to transform the visual features of interesting scene(s) from a video. This transformation is achieved by a mechanism called Adaptive Feature-based Transformation (AFT), which extracts the visual features and elevates them to a higher-level representation. We also introduce a new GAT-based attention model that extracts major features from weight features for information extraction, taking into account the tendency of humans to pay attention to transformations and moving objects. Additionally, we integrate the higher-level visual features obtained from the attention layer with the semantic features processed by Bi-CARU. By combining both visual and semantic information, the proposed work enhances the accuracy of key-scene determination. By addressing the issue of high redundancy among major information and using advanced techniques, our method provides a competitive and efficient way to summarise videos. Experimental results show that our approach outperforms existing state-of-the-art methods in video summarisation.

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Christiane, Wagner. "Visual Narratives: Image and Consciousness of Social Reality." Open Journal for Sociological Studies 1, no. 2 (November 22, 2017): 73–82. https://doi.org/10.5281/zenodo.5366708.

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This article concerns images that portray social reality in relation to the ability that humans have to create narratives that are a configuration of the collective consciousness. According to arguments developed in the literature and broadcasted by the media, citizens’ actions guard both the public space and the configuration of culture. The images associated with relevant issues determine the public’s responses and give more power to public opinion. However, the results of innovation depend on the political will at any given time. According to Jürgen Habermas, the rationality of the discourse of decision-makers guides the collective conscience through their communicative actions. In this sense, the message and its ideology can effect changes by capitalizing on belief in the narratives. Therefore, the main goal is to understand social reality in relation to the influence of visual narratives.

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Zhai, Qiang. "Application of Visual Correction on Physical Training." Advanced Materials Research 989-994 (July 2014): 5461–63. http://dx.doi.org/10.4028/www.scientific.net/amr.989-994.5461.

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A method is presented for three-dimensional motion posture correction employing Fuzzy kernel estimation and affine transformation. As selecting human moving node by a visual sensor and smoothing single frame image with irregular motion, noise interference is reduced. Based on principles of perspective and affine transformation, adjustment strategy of three-dimensional posture is deduced for irregular single-frame motion picture. In addition to determination of motion picture rotation, accurate correction of irregular single-frame motion picture is proposed. Experimental results show that, under different noise conditions, the algorithm corrects posture of a three-dimensional moving image accurately and presents strong anti-noise performance.

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