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Journal articles on the topic 'Zoomify'

Author: Grafiati

Published: 4 June 2021

Last updated: 1 February 2022

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1

Smith, Adam. "Introducing Zoomify Image." Information Technology and Libraries 26, no. 1 (March 1, 2007): 48. http://dx.doi.org/10.6017/ital.v26i1.3288.

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Zoomify Image is a mature product for easily publishing large, high-resolution images on the Web. End users view these images with existing Webbrowser software as quickly as they do normal, downsampled images. A Flash-based Zoomifyer client asynchronously streams image data to the Web browser as needed, resulting in response times approaching those of desktop applications using minimal bandwidth. The author, a librarian at Cornell University and the principal architect of a small, open-source company, worked closely with Zoomify to produce a cross-platform, opensource implementation of that company’s image-processing software and discusses how to easily deploy the product into a widely used Webpublishing environment. Limitations are also discussed as are areas of improvement and alternatives.

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2

Halliday, Jessica. "FESTA Festival of Transitional Architecture in Christchurch, New Zealand." Journal of Public Space 2, no. 3 (December 9, 2017): 177. http://dx.doi.org/10.5204/jps.v2i3.126.

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<p>In 2012 <a href="http://www.festa.org.nz">FESTA</a> emerged in Christchurch, New Zealand as a collective response to the extraordinary circumstances of a natural disaster. As a place-based (and now biennial) weekend-long festival of architecture and urbanism it continues to seek and find relevance to that place, its people, and to all involved in the event (participants, audience, funders and supporters) as the extraordinary fades into a more ordered and ordinary existence.<br />On 22 February 2011, a large earthquake hit the city of Christchurch, New Zealand. It was the second largest, and most destructive, of a series of over 11,000 earthquakes recorded in the region over a 2-year period from September 2010. 185 people died as a result of the February quake and over 75% of the built fabric of the central city was demolished. Christchurch’s central city was cordoned off from the public and put under army control, portions of it for over two years. A new government agency was established to direct the city’s recovery. It commissioned and backed a new spatial plan for the central city (‘<a href="http://architecturenow.co.nz/articles/the-final-blueprint-for-a-new-christchurch/">The Blueprint’</a>), designed to retain existing land values and incentivise new and current investment as well as renew public spaces and amenities. Land damage caused whole suburban areas to be deemed unrepairable and these neighbourhoods were ‘<a href="https://teara.govt.nz/en/zoomify/46379/eastern-suburbs-red-zone">red zoned’</a> and purchased by the central government. Over 4 years, 8000 homes in the suburban red zones were demolished. Drastic change and uncertainty touched most aspects of Christchurch people’s lives in the years following the earthquake.</p>

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3

Weilenmann, Alexandra, and Mikael Wiberg. "Zooming in/zooming out." Interactions 28, no. 3 (May 2021): 62–65. http://dx.doi.org/10.1145/3457867.

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4

Barndt, Deborah. "Zooming out/zooming invisualizing globalization." Visual Sociology 12, no. 2 (January 1997): 5–32. http://dx.doi.org/10.1080/14725869708583778.

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5

Araujo, Ana. "Feeling through sight: zooming in, zooming out." Journal of Architecture 19, no. 1 (January 2, 2014): 1–18. http://dx.doi.org/10.1080/13602365.2013.851905.

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6

Hornsby, Kathleen. "Temporal Zooming." Transactions in GIS 5, no. 3 (June 2001): 255–72. http://dx.doi.org/10.1111/1467-9671.00081.

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7

Jarrett, Michael, and Feng Liu. "“Zooming With”." Organizational Research Methods 21, no. 2 (July 11, 2016): 366–85. http://dx.doi.org/10.1177/1094428116656238.

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The desire to better understand the micro-behaviors of organizational actors has led to the increased use of video ethnography in management and qualitative research. Video captures detailed interactions and provides opportunities for researchers to link these to broader organizational processes. However, we argue there is a methodological gap. Studies that focus on the detail of the interactions “zoom in.” Others that focus on the interactions in context “zoom out.” But few go further and “zoom with”––that is, incorporate participants’ interpretations of their video-recorded interactions. Our methodological contribution is that zooming with participants enhances research findings, helps to develop theory, and provides new insights for management practice. The article develops this idea by exploring and describing the method and applying it to top management teams, as well as showing how each focus provides different theoretical insights depending on which perspective or combination of perspectives is used. We conclude with the suggestion that a three-pronged approach to video ethnography be taken. The final section of the article discusses the implications for research and highlights the benefits of reflexivity in management practice.

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8

Johnson, Susan. "Zooming Out." Kappa Delta Pi Record 57, no. 2 (April 3, 2021): 96. http://dx.doi.org/10.1080/00228958.2021.1890448.

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9

Rogers, Deborah. "A grammar for zooming interfaces: using interaction design strategies to improve users navigation and spatial awareness." Theme: Information landscapes 10, no. 3 (December 31, 2001): 250–57. http://dx.doi.org/10.1075/idj.10.3.06rog.

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As demand increases for systems that view and retrieve large amounts of data, designers and engineers are trying new techniques for data access. One approach that has gained momentum is the area of zooming mechanisms. Zooming interactions offer a variety of benefits. Zooming mechanisms on their own are not sufficient for creating meaningful, dense information interfaces. This paper adapts concepts from wayfinding research, cognitive psychology, and interaction design to improve navigational cues with information displays of zooming interfaces.

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10

Meijer, Albert J., and Vincent M. F. Homburg. "Introduction: Zooming In and Zooming Out on Electronic Government." International Journal of Public Administration 31, no. 7 (June 3, 2008): 707–10. http://dx.doi.org/10.1080/01900690701690700.

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11

Harmon, Janis M., and Wanda B. Hedrick. "Zooming in and Zooming Out for Better Vocabulary Learning." Middle School Journal 32, no. 5 (May 2001): 22–29. http://dx.doi.org/10.1080/00940771.2001.11495294.

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12

Herrmann, Rachel B. "Zooming In, Zooming Out, and Some Thoughts on Zoom." Global Food History 6, no. 3 (September 1, 2020): 167–68. http://dx.doi.org/10.1080/20549547.2020.1823772.

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13

Li, Dong, Xiao Li Wang, Si Mon Chi, Chang Rui Zhao, and Bin Yang. "A Clock Optimization Method in the Digital Zooming of the Image Signal Processing System." Advanced Materials Research 981 (July 2014): 315–18. http://dx.doi.org/10.4028/www.scientific.net/amr.981.315.

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We address the problem of producing an enlarged picture from a given digital image (zooming). We propose a method that tries to take into account the difficulty to apply the very fast clock in the digital zooming unit of an ISP system. The ISP system hardware is realized in the FPGA and the zooming algorithm is parabola interpolation architecture. This paper presents an optimization method by using a synchronization FIFO to greatly reduce the clock frequency of the digital zooming unit, and by this the power consumption is also decreased significantly.

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14

REVATHY, K., G. RAJU, and S. R. PRABHAKARAN NAYAR. "IMAGE ZOOMING BY WAVELETS." Fractals 08, no. 03 (September 2000): 247–53. http://dx.doi.org/10.1142/s0218348x00000342.

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Enlargement and reduction of images are often required in image processing. Popular methods for re-sizing are standard interpolation methods. Recently, wavelets and fractal-based methods are developed for re-sizing. In this paper, wavelet zooming algorithm based on pyramid algorithm for wavelet transformation is explained. Also performance analysis of wavelet-based zooming method is investigated. We find that wavelet zooming with enhanced coefficients gives better visual quality. The objective error analysis also agrees with this. Wavelet zooming has also been performed block-wise. A significant drawback of the method is that the scaling factor should be power of 2.

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15

Katagiri, Hirokatsu, Semba Kazuki, Hiroyuki Sano, and Takashi Yamada. "Fast copper loss calculation in coil winding of motor by zooming method." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 37, no. 5 (September 3, 2018): 1626–34. http://dx.doi.org/10.1108/compel-12-2017-0529.

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Purpose It takes long time for estimating a copper loss in the coil winding of the motor by using the finite element method (FEM). The purpose of this paper is to calculate fast the copper loss by zooming method. Design/methodology/approach The authors adopt the “zooming method” to FEM. The authors compare the accuracy and the calculation time with zooming method and normal FEM. Findings The zooming method contributes to speeding up and the high accuracy of calculation. In the results, the 43-fold speed increase is achieved in the calculation of synchronous motor compared to usual FEM. Practical implications The AC copper loss calculation of 3D motor analysis can be calculated in practical computation time. Originality/value The main advantage of employment of zooming method is significantly reduction of the computation time in the loss calculation of the coil winding.

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16

Bond, Nigel W. "Who's zooming who?" Behavioral and Brain Sciences 28, no. 2 (April 2005): 278. http://dx.doi.org/10.1017/s0140525x05250057.

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Men and women report having significantly different numbers of sexual partners, which is impossible in a large sample. Schmitt's target article is no exception. This focuses discussion on the nature of the samples, their heterogeneity, and the locale they are drawn from. Further, we query how humans determine, for example, sex ratio, in the context of large numbers.

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17

Briscoe, James, and Katherine Brown. "Zooming into 2021." Development 148, no. 1 (January 1, 2021): dev199273. http://dx.doi.org/10.1242/dev.199273.

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18

Hollan, James D. "TIMELINESMultiscale zooming interfaces." Interactions 18, no. 1 (January 2011): 71–74. http://dx.doi.org/10.1145/1897239.1897255.

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19

Ma, Jun, and S. I. Olsen. "Depth from zooming." Journal of the Optical Society of America A 7, no. 10 (October 1, 1990): 1883. http://dx.doi.org/10.1364/josaa.7.001883.

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20

Turku, Julia. "SPATIAL SOUND ZOOMING." Journal of the Acoustical Society of America 132, no. 5 (2012): 3603. http://dx.doi.org/10.1121/1.4767677.

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21

Vijayan, Jayadev. "Zooming into superconductors." Quantum Views 2 (July 11, 2018): 7. http://dx.doi.org/10.22331/qv-2018-07-11-7.

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22

Gerber, Richard J. "Zooming Bloomsday 2020." James Joyce Quarterly 57, no. 3-4 (2020): 240–44. http://dx.doi.org/10.1353/jjq.2020.0002.

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23

Patel, Viren, Saïd C. Azoury, and Shane D. Morrison. "Zooming Between Interviews." Annals of Plastic Surgery 86, no. 1 (January 2021): 3. http://dx.doi.org/10.1097/sap.0000000000002679.

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24

Drife, James. "Zooming into history." Obstetrician & Gynaecologist 22, no. 4 (October 2020): 330. http://dx.doi.org/10.1111/tog.12698.

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25

Corley, Ronald B., and Frances E. Lund. "Who's zooming who?" Current Biology 1, no. 5 (October 1991): 278–80. http://dx.doi.org/10.1016/0960-9822(91)90083-9.

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26

Jun, Kyung-Koo. "Management of Base Stations having Cell Zooming Capability for Green Cellular Networks." Journal of Korea Information and Communications Society 36, no. 8B (August 31, 2011): 904–9. http://dx.doi.org/10.7840/kics.2011.36b.8.904.

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27

Shyamala Devi, M., R. Suguna, Paul K. Lbungdim, Sairam Kondapalli, Satwat Kumar Ambashta, and Duggishetti Akhil. "Systematic Image Zooming and Panning of Graphical Images Using Fractional Replication." Journal of Computational and Theoretical Nanoscience 17, no. 1 (January 1, 2020): 519–25. http://dx.doi.org/10.1166/jctn.2020.8700.

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Scaling is the major operation performed in Transformation of images. The Scaling is an important operation for resizing and reshaping the images that are in digital form. Various operations can be performed with digital images out of which the shrinking and zooming are the most widely operations by any type of users in the world. The other name for shrinking is sub sampling and the zooming operation is also named as Oversampling. The purpose of zooming operation is to extend or enlarge the image in order to have a clear and efficient view. Zooming operations are mostly performed in our mobile for viewing the images in our gallery and this operation is the most frequently performed operation by the mobile users. By considering all these factors, graphical images are the most widely agent to convey any information to the transmitter in order to know the position, size of an object. With this in concern, we try to focus on graphical image zooming as it is very important process in image processing. In this paper, we have used Fractional Replication for Image Zooming that is processed by copying and replicating the pixels from the base image based on the inexact spatial correspondence between the base image and zoom image. And also, the pixel address of the zoom image is calculated fractionally from the pixel address of the base image. We have implemented all the zooming operations like Zoom out in subject of Y-Axis, Zoom out in subject of X-Axis, Zoom in subject of Y Axis, Zoom in subject of X Axis, Left Side Panning, Right Side Panning, Top Zoom Panning and Bottom Zoom Panning for a graphical image using C programming language. Here we attempt to process the various Zooming operation analysis of the graphical image.

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28

Jiang, Dong Huan, and Guang Bao Xu. "Image Zooming Based on Cartoon and Texture Decomposition." Advanced Materials Research 457-458 (January 2012): 1002–7. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1002.

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A new algorithm for image zooming based on cartoon and texture decomposition is presented in this paper. The basic idea is to first decompose the image into cartoon and texture, and then zoom each part separately with different image zooming algorithms. Finally, the zoomed images will be synthesized into one image. The zoomed parts of the image are found by minimizing the different variational functional in the wavelet domain which use the Besov norm to measure the regularity of the parts. Unlike the traditional image zooming by interpolation, the variation model and image cartoon-texture decomposition is incorporated in the zooming algorithm. Experimental results have verified the validity of the new algorithm.

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29

Kimura, Shigeru, Tatsuya Matsumura, Katsuyuki Kinoshita, Keiichi Hirano, and Hiroshi Kihara. "High-resolution X-ray topographic images of dislocations in a silicon crystal recorded using an X-ray zooming tube." Journal of Synchrotron Radiation 5, no. 3 (May 1, 1998): 1079–81. http://dx.doi.org/10.1107/s0909049597014258.

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A Be-window-type X-ray zooming tube is an X-ray digital imaging system whose magnification factor of X-ray images can be easily varied from 10 to 200, and whose spatial resolution is less than 0.5 µm. This zooming tube was used as an imaging detector in double-crystal X-ray topography to obtain high-resolution images of dislocations in a silicon crystal. X-ray interference images of about 5 µm were observed even though optimal performance of the X-ray zooming tube could not be achieved. The results indicate that the X-ray zooming tube might make a good detector for X-ray topography with minor improvements in its stage structure.

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30

Tang, Yunyi, and Yuanpeng Zhu. "Image Zooming Based on Two Classes of C1-Continuous Coons Patches Construction with Shape Parameters over Triangular Domain." Symmetry 12, no. 4 (April 22, 2020): 661. http://dx.doi.org/10.3390/sym12040661.

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Image interpolation is important in image zooming. To improve the quality of image zooming, in this work, we proposed a class of rational quadratic trigonometric Hermite functions with two shape parameters and two classes of C 1 -continuous Coons patches constructions over a triangular domain by improved side–side method and side–vertex method. Altering the values of shape parameters can adjust the interior shape of the triangular Coons patch without influencing the function values and partial derivatives of the boundaries. In order to deal with the problem of well-posedness in image zooming, we discussed symmetrical sufficient conditions for region control of shape parameters in the improved side–side method and side–vertex method. Some examples demonstrate the proposed methods are effective in surface design and digital image zooming. C 1 -continuous Coons patches constructed by the proposed methods can interpolate to scattered 3D data. By up-sampling to the constructed interpolation surface, high-resolution images can be obtained. Image zooming experiment and analysis show that compared to bilinear, bicubic, iterative curvature-based interpolation (ICBI), novel edge orientation adaptive interpolation scheme for resolution enhancement of still images (NEDI), super-resolution using iterative Wiener filter based on nonlocal means (SR-NLM) and rational ball cubic B-spline (RBC), the proposed method can improve peak signal to noise ratio (PSNR) and structural similarity index (SSIM). Edge detection using Prewitt operator shows that the proposed method can better preserve sharp edges and textures in image zooming. The proposed methods can also improve the visual effect of the image, therefore it is efficient in computation for image zooming.

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31

Anderson, Jeff. "Zooming in and Zooming out: Putting Grammar in Context into Context." English Journal 95, no. 5 (May 1, 2006): 28. http://dx.doi.org/10.2307/30046585.

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32

Le Bras, Alexandra. "Zooming into the heart." Lab Animal 50, no. 1 (December 18, 2020): 14. http://dx.doi.org/10.1038/s41684-020-00697-5.

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33

Roth, Adam, Niroshnee Ranjan, Grace King, Shamim Homayun, Rebecca Hendershott, and Simone Dennis. "Zooming in on COVID." Anthropology in Action 28, no. 1 (March 1, 2021): 67–72. http://dx.doi.org/10.3167/aia.2021.280113.

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This article is a result of the way in which the design of a first-year anthropology course attempted to undo stern structural hierarchies between students and teachers. Instead, the participants regarded one another as fellow anthropologists undertaking ethnographic research on the university context. This article examines the intimate relations that came available to participants when the course moved from in-person to Zoom format. Participants moved into homes to document the unfurling COVID-19 crisis, (back) into intimate familial relations. But this was not the only intimacy with which participants had to grapple anthropologically. The lecture materials, too, connected themselves to things and experiences in immediacy as they arrived into homes through laptop screens. The screens themselves offered up new insights into the lives of others – something newly minted anthropologists had to account for as they completed the course.

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34

Thurnhofer, Stefan. "Edge‐enhanced image zooming." Optical Engineering 35, no. 7 (July 1, 1996): 1862. http://dx.doi.org/10.1117/1.600619.

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35

Fahrenkamp-Uppenbrink, J. "Zooming in on pH." Science 325, no. 5943 (August 20, 2009): 921. http://dx.doi.org/10.1126/science.325_921d.

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36

Clabby, Catherine. "Zooming In on Mars." American Scientist 98, no. 6 (2010): 494. http://dx.doi.org/10.1511/2010.87.494.

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37

Chetalova, Desislava, Rudi Schäfer, and Thomas Guhr. "Zooming into market states." Journal of Statistical Mechanics: Theory and Experiment 2015, no. 1 (January 21, 2015): P01029. http://dx.doi.org/10.1088/1742-5468/2015/01/p01029.

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38

Liverpool, Layal. "Zooming into outer space." New Scientist 248, no. 3310 (November 2020): 51. http://dx.doi.org/10.1016/s0262-4079(20)32094-7.

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39

Mole. "Corona XI – zooming out." Journal of Cell Science 133, no. 15 (June 30, 2020): jcs250076. http://dx.doi.org/10.1242/jcs.250076.

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40

Welberg, Leonie. "Zooming in on schizophrenia." Nature Reviews Neuroscience 12, no. 6 (April 29, 2011): 308–9. http://dx.doi.org/10.1038/nrn3040.

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41

Lavest, J. M., C. Delherm, B. Peuchot, and N. Daucher. "Implicit Reconstruction by Zooming." Computer Vision and Image Understanding 66, no. 3 (June 1997): 301–15. http://dx.doi.org/10.1006/cviu.1996.0511.

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42

Narasimhan, Kalyani. "Zooming in on seizures." Nature Neuroscience 15, no. 2 (January 26, 2012): 179. http://dx.doi.org/10.1038/nn0212-179.

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43

Weitzman, Jonathan B. "Zooming in on micrometastases." Genome Biology 3 (2002): spotlight—20020410–01. http://dx.doi.org/10.1186/gb-spotlight-20020410-01.

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44

Pinaud, F., and M. Dahan. "Zooming Into Live Cells." Science 320, no. 5873 (April 11, 2008): 187–88. http://dx.doi.org/10.1126/science.1156510.

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45

Lombardi, CeliaM, and JuanD Delius. "Mental zooming in pigeons." Behavioural Processes 10, no. 3 (March 1985): 311. http://dx.doi.org/10.1016/0376-6357(85)90078-6.

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46

Hirai, Itio, Yoshihiro Uchiyama, Yoji Mizuta, and Walter D. Pilkey. "An exact zooming method." Finite Elements in Analysis and Design 1, no. 1 (April 1985): 61–69. http://dx.doi.org/10.1016/0168-874x(85)90008-3.

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47

Owens, Mathew, Oliver Allanson, and Megan Maunder. "Zooming through the MIST." Astronomy & Geophysics 62, no. 3 (June 1, 2021): 3.24–3.27. http://dx.doi.org/10.1093/astrogeo/atab067.

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48

Xin, Jing, Kemin Chen, Lei Bai, Ding Liu, and Jian Zhang. "Depth Adaptive Zooming Visual Servoing for a Robot with a Zooming Camera." International Journal of Advanced Robotic Systems 10, no. 2 (January 2013): 120. http://dx.doi.org/10.5772/54566.

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49

Chen, Qi, John C. Marshall, Ralph Weidner, and Gereon R. Fink. "Zooming In and Zooming Out of the Attentional Focus: An fMRI Study." Cerebral Cortex 19, no. 4 (August 9, 2008): 805–19. http://dx.doi.org/10.1093/cercor/bhn128.

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50

Lee, Samuel Sangkon. "Experimental Results of Zooming Speed and Zooming Pattern for IPTV UI/UX." Advanced Science Letters 23, no. 12 (December 1, 2017): 12683–88. http://dx.doi.org/10.1166/asl.2017.10878.

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