Relevant bibliographies by topics / Image collection

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Image collection'

Author: Grafiati
Published: 9 March 2023
Last updated: 31 July 2025

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Journal articles on the topic "Image collection"

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Riahi Samani, Zahra, and Mohsen Ebrahimi Moghaddam. "Image Collection Summarization Method Based on Semantic Hierarchies." AI 1, no. 2 (2020): 209–28. http://dx.doi.org/10.3390/ai1020014.

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The size of internet image collections is increasing drastically. As a result, new techniques are required to facilitate users in browsing, navigation, and summarization of these large volume collections. Image collection summarization methods present users with a set of exemplar images as the most representative ones from the initial image collection. In this study, an image collection summarization technique was introduced according to semantic hierarchies among them. In the proposed approach, images were mapped to the nodes of a pre-defined domain ontology. In this way, a semantic hierarchi
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Guo, Feng Ying. "The Hardware Design and Implement of an Image Information Collection System." Advanced Materials Research 804 (September 2013): 211–15. http://dx.doi.org/10.4028/www.scientific.net/amr.804.211.

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It introduces the hardware design and implement of the image information collection system which is one part of Fluorescent magnetic particle nondestructive detection system of Cannonball. The image information collection system includes Open collecting card model Initialize collection card modelApply for EMS memory modelCollecting image modelWrite bitmap information head model Show pictures modeClose collection card model. Through collecting image information to the EMS memory and then processing the image information, the magnetic images on the cannonball are showed clearly on computer, and
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Kim, Namhoon, Eunha Chun, and Eunju Ko. "Country of origin effects on brand image, brand evaluation, and purchase intention." International Marketing Review 34, no. 2 (2017): 254–71. http://dx.doi.org/10.1108/imr-03-2015-0071.

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Purpose The purpose of this paper is to analyze how national stereotype, country of origin (COO), and fashion brand’s images influence consumers’ brand evaluations and purchase intentions regarding fashion collections. Korea (Seoul) and overseas (New York and Paris) collections are compared and analyzed. Design/methodology/approach The authors conduct a structural equation modeling and multi-group analysis using data collected from Seoul, New York, and Paris. Findings Consumers make higher brand evaluations and ultimately have stronger purchase intentions toward fashion collections from countr
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Blatter, Jeremy. "Wellcome Library Moving Image and Sound Collection, (http://wellcomelibrary.org/about-us/about-the-collections/moving-image-and-sound-collection/)." Medical History 57, no. 3 (2013): 459–60. http://dx.doi.org/10.1017/mdh.2013.29.

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Groom, Quentin, Mathias Dillen, Wouter Addink, et al. "Envisaging a global infrastructure to exploit the potential of digitised collections." Biodiversity Data Journal 11 (November 30, 2023): e109439. https://doi.org/10.3897/BDJ.11.e109439.

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Tens of millions of images from biological collections have become available online over the last two decades. In parallel, there has been a dramatic increase in the capabilities of image analysis technologies, especially those involving machine learning and computer vision. While image analysis has become mainstream in consumer applications, it is still used only on an artisanal basis in the biological collections community, largely because the image corpora are dispersed. Yet, there is massive untapped potential for novel applications and research if images of collection objects could be mad
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Caspers, Max. "Image Recognition to Enhance the Value of Collections." Biodiversity Information Science and Standards 2 (June 13, 2018): e26320. http://dx.doi.org/10.3897/biss.2.26320.

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Techniques for image recognition through machine learning have advanced rapidly over recent years and applications using this technique are becoming increasingly common.. Applications using image recognition have enormous potential not only for research, education, conservation and capacity-building but certainly also for collections management. Perhaps by now an even bigger challenge than the technological one is supplying content in the form of large amounts of validated images. With an estimated 44 million objects, the collection of Naturalis Biodiversity Center has plenty of physical sourc
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Caspers, Max. "Image Recognition to Enhance the Value of Collections." Biodiversity Information Science and Standards 2 (June 13, 2018): e26320. https://doi.org/10.3897/biss.2.26320.

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Techniques for image recognition through <i>machine learning</i> have advanced rapidly over recent years and applications using this technique are becoming increasingly common.. Applications using image recognition have enormous potential not only for research, education, conservation and capacity-building but certainly also for collections management. Perhaps by now an even bigger challenge than the technological one is supplying content in the form of large amounts of validated images. With an estimated 44 million objects, the collection of Naturalis Biodiversity Center has plenty of physica
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Martin, William. "Satellite image collection optimization." Optical Engineering 41, no. 9 (2002): 2083. http://dx.doi.org/10.1117/1.1495856.

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Legland, David, and Marie-Françoise Devaux. "ImageM: a user-friendly interface for the processing of multi-dimensional images with Matlab." F1000Research 10 (April 30, 2021): 333. http://dx.doi.org/10.12688/f1000research.51732.1.

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Modern imaging devices provide a wealth of data often organized as images with many dimensions, such as 2D/3D, time and channel. Matlab is an efficient software solution for image processing, but it lacks many features facilitating the interactive interpretation of image data, such as a user-friendly image visualization, or the management of image meta-data (e.g. spatial calibration), thus limiting its application to bio-image analysis. The ImageM application proposes an integrated user interface that facilitates the processing and the analysis of multi-dimensional images within the Matlab env
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Turner, J. N., D. H. Szarowski, B. Roysam, and T. J. Holmes. "Light Microscopy Image Collection: Confocal, Widefield and Deconvolution." Microscopy and Microanalysis 3, S2 (1997): 371–72. http://dx.doi.org/10.1017/s1431927600008746.

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Light microscopy instrumentation and biological applications continue to expand rapidly, and an important aspect of this expansion is three-dimensional (3-D) imaging and image analysis. For many biological specimens, optical sectioning, i.e. collecting images at a sequence of depths under controlled conditions, provides true 3-D data through the entire specimen. This is especially important for specimens whose thickness exceeds the depth-of-field of the microscope objective lens. This sequence of optical sections is the basis for 3-D image reconstruction providing information from all three sp
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Dissertations / Theses on the topic "Image collection"

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GRECO, Luca. "AUTOMATIC ORGANIZATION OF MULTIMEDIA DATA COLLECTIONS." Doctoral thesis, Università degli Studi di Palermo, 2014. http://hdl.handle.net/10447/91234.

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La fotografia digitale ha avuto uno sviluppo sempre crescente negli ultimi dieci anni. Prima la diminuzione dei prezzi delle apparecchiature di acquisizione e poi l’integrazione di queste nei dispositivi portatili di uso quotidiano (i.e. smartphone, tablet) ha permesso a chiunque di potere creare e conservare semplicemente un enorme numero di immagini. Inoltre l’immagine stessa é diventata uno strumento di comunicazione, portando alla nascita di social networks basati unicamente sulla condivisione di fotografie (flickr, instagram, etc...). La gestione di tali quantitá di dati é quindi diventa
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Chang, Michelle T. "Collection understanding." Thesis, Texas A&M University, 2003. http://hdl.handle.net/1969.1/69.

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Collection understanding shifts the traditional focus of retrieval in large collections from locating specific artifacts to gaining a comprehensive view of the collection. Visualization tools are critical to the process of efficient collection understanding. By presenting simple visual interfaces and intuitive methods of interacting with a collection, users come to understand the essence of the collection by focusing on the artifacts. This thesis discusses a practical approach for enhancing collection understanding in image collections.
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Loisant, Erwan. "Browsing a Classification of an Image Collection." Phd thesis, Université de Nantes, 2005. http://tel.archives-ouvertes.fr/tel-00465952.

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Les données dites multimédia (images, vidéos) se distinguent des données classique par une densité variable d'information et l'impossibilité de normaliser ces données. Du fait de ces particularités, de nouvelles techniques d'indexation et de recherche d'information ont du être etudiées. Il y a principalement deux problèmes a résoudre pour la recherche d'information dans les collections multimédia (ou les bases de données multimédia) : (1) la représentation des données et (2) le processus de recherche du point de vue de l'utilisateur. Dans le cas des bases de données, l'indexation est fortement
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LEONARDI, MARCO. "Image Collection Management using Convolutional Neural Networks." Doctoral thesis, Università degli Studi di Milano-Bicocca, 2022. http://hdl.handle.net/10281/365014.

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Al giorno d’oggi ormai quasi chiunque possiede uno smartphone dotato di una telecamera ad alta risoluzione. Negli ultimi decenni, i contenuti multimediali (immagini e video) stanno sempre più spesso diventando il principale mezzo di comunicazione. Dato il continuo calo dei prezzi dei dispositivi di archiviazione, il numero totale di immagini salvate sta aumentando notevolmente, andando così a creare collezioni di immagini sempre più grandi, a tal punto da essere una problema per chi vuole le vuole esplorare. Data una libreria di immagini, il processo di selezione di un gruppo di foto che rap
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Torok, Matthew M. "Autonomous Sample Collection Using Image-Based 3D Reconstructions." Thesis, Virginia Tech, 2012. http://hdl.handle.net/10919/32163.

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Sample collection is a common task for mobile robots and there are a variety of manipulators available to perform this operation. This thesis presents a novel scoop sample collection system design which is able to both collect and contain a sample using the same hardware. To ease the operator burden during sampling the scoop system is paired with new semi-autonomous and fully autonomous collection techniques. These are derived from data provided by colored 3D point clouds produced via image-based 3D reconstructions. A custom robotic mobility platform, the Scoopbot, is introduced to perform com
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Dyer, Emily L. "Sugar nine : a collection of short stories /." Diss., CLICK HERE for online access, 2008. http://contentdm.lib.byu.edu/ETD/image/etd2308.pdf.

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Buenrostro-Nava, Marco T. "Characterization of GFP Gene Expression Using an Automated Image Collection System and Image Analysis." The Ohio State University, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=osu1032794680.

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Christiansen, Naomi Lund. "Learning to Create: A Collection of Personal Essays." Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd485.pdf.

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Lloyd, Jana. "Finding Where I Am: A Collection of Creative Nonfiction - Creative thesis." Diss., CLICK HERE for online access, 2005. http://contentdm.lib.byu.edu/ETD/image/etd771.pdf.

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Watson, Myles G. "Does the Halting Necessary for Hardware Trace Collection Inordinately Perturb the Results?" Diss., CLICK HERE for online access, 2004. http://contentdm.lib.byu.edu/ETD/image/etd594.pdf.

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Books on the topic "Image collection"

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National Geographic Society (U.S.), ed. National Geographic Image Collection. Focal Point, 2009.

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Belgium) Musée de la photographie (Charleroi. Image(s) d'une collection. Musée de la Photographie à Charleroi & Fonds Mercato, 2010.

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S, Philip Neil, and National Geographic Society (U.S.), eds. National Geographic image collection. [National Geographic Society, 1997.

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Musée de Grenoble. Image d'une collection: Musée de Grenoble. Réunion des musées nationaux, 1999.

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1940-, Jule Walter, ed. Sightlines: Printmaking and image culture : a collection of essays and images. University of Alberta Press, 1997.

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Nina, Felshin, Phoenix Art Museum, and Art Museum Association of America., eds. Focus on the image: Selections from the Rivendell Collection. s.n.], 1985.

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IMSI. Masterclips 303,000: Award-winning premium image collection. IMSI, 1998.

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Technology, Rochester Institute of, ed. Cary Collection: Graphic arts library & digital image database. RIT, Cary Graphic Arts Press, 1993.

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Bayle, Francois. L' Image, l'argent, les titres: Valeurs de collection. Editions de l'Epargne, 1987.

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1966-, White Shawna, Williamson Karen 1967-, Adamowicz-Clements Sharona, and McMichael Canadian Art Collection, eds. The Arctic image. McMichael Canadian Art Collection, 2004.

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Book chapters on the topic "Image collection"

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Hibbs, Alan R. "Image Collection." In Confocal Microscopy for Biologists. Springer US, 2004. http://dx.doi.org/10.1007/978-0-306-48565-7_4.

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Taslakian, Bedros. "Aspiration of Abdominopelvic Fluid Collection." In Procedural Dictations in Image-Guided Intervention. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-40845-3_65.

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Koeva, Svetla. "Multilingual Image Corpus." In European Language Grid. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17258-8_22.

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AbstractThe ELG pilot project Multilingual Image Corpus (MIC 21) provides a large image dataset with annotated objects and multilingual descriptions in 25 languages. Our main contributions are: the provision of a large collection of highquality, copyright-free images; the formulation of an ontology of visual objects based on WordNet noun hierarchies; precise manual correction of automatic image segmentation and annotation of object classes; and association of objects and images with extended multilingual descriptions. The dataset is designed for image classification, object detection and seman
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Berretti, S., A. Del Bimbo, and P. Pala. "Collection Fusion for Distributed Image Retrieval." In Distributed Multimedia Information Retrieval. Springer Berlin Heidelberg, 2004. http://dx.doi.org/10.1007/978-3-540-24610-7_6.

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Worring, Marcel. "Multimedia Analytics for Image Collection Forensics." In Handbook of Digital Forensics of Multimedia Data and Devices. John Wiley & Sons, Ltd, 2015. http://dx.doi.org/10.1002/9781118705773.ch8.

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Molnár, P., and T. R. Collins. "Traffic Data Collection Using Image Processing Technology." In Traffic and Granular Flow ’99. Springer Berlin Heidelberg, 2000. http://dx.doi.org/10.1007/978-3-642-59751-0_35.

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Rochow, Theodore George, and Paul Arthur Tucker. "Image Collection, Analysis, and Reconstruction by Computer." In Introduction to Microscopy by Means of Light, Electrons, X Rays, or Acoustics. Springer US, 1994. http://dx.doi.org/10.1007/978-1-4899-1513-9_19.

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Song, Mofei, Zhengxing Sun, Bo Li, and Jiagao Hu. "Iterative Active Classification of Large Image Collection." In MultiMedia Modeling. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73603-7_24.

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Singh, Anurag, and Deepak Kumar Sharma. "Image Collection Summarization: Past, Present and Future." In Data Visualization and Knowledge Engineering. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-25797-2_3.

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Waltner, Georg, Malte Jaschik, Alfred Rinnhofer, Horst Possegger, and Horst Bischof. "An Intelligent Scanning Vehicle for Waste Collection Monitoring." In Image Analysis and Processing – ICIAP 2022. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-06427-2_4.

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Conference papers on the topic "Image collection"

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Hou, Xinlong, Xueshen Li, Nirupama Ravi, Ziyi Huang, and Yu Gan. "Reinforcement-learning-based proactive medical dialogue system for health status and medical image collection." In Image Processing, edited by Olivier Colliot and Jhimli Mitra. SPIE, 2025. https://doi.org/10.1117/12.3047535.

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Yang, Fan, Wentao Tang, and Qingsheng Li. "Deep-learning-based methods for font collection and image processing." In International Symposium on Artificial Intelligence Innovations (ISAII 2025), edited by Xin Xu and Weihua Ou. SPIE, 2025. https://doi.org/10.1117/12.3073291.

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Gershbock, Richard. "Image acquisition: quality control for document image scanners." In Critical Review Collection. SPIE, 1991. http://dx.doi.org/10.1117/12.48889.

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Tajahuerce, Enrique, and Bahram Javidi. "Three-dimensional image security." In Critical Review Collection. SPIE, 2001. http://dx.doi.org/10.1117/12.419787.

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Buczynski, Ryszard, Tomasz Szoplik, Irina P. Veretennicoff, and Hugo Thienpont. "Photonic morphological image processing." In Critical Review Collection. SPIE, 2001. http://dx.doi.org/10.1117/12.449677.

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Sandrik, John M. "Standardization of image quality measurements of medical x-ray image intensifier systems." In Critical Review Collection. SPIE, 1991. http://dx.doi.org/10.1117/12.48897.

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Urban, Stephen. "Survey of standards for image telecommunications." In Critical Review Collection. SPIE, 1996. http://dx.doi.org/10.1117/12.229254.

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Psaltis, Demetri, Yong Qiao, and Sergei S. Orlov. "Adaptive optical networks for image recognition." In Critical Review Collection. SPIE, 1994. http://dx.doi.org/10.1117/12.178617.

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Tajahuerce, Enrique, Osamu Matoba, Yann Frauel, Maria-Albertina Castro, and Bahram Javidi. "New approaches to 3D image recognition." In Critical Review Collection. SPIE, 2001. http://dx.doi.org/10.1117/12.449689.

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Sheng, Yunlong, Xiangjie Yang, Daniel McReynolds, Pierre Valin, and Leandre Sevigny. "Multisensor image registration and optical correlation." In Critical Review Collection. SPIE, 1999. http://dx.doi.org/10.1117/12.365906.

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Reports on the topic "Image collection"

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Yeum, Chul Min, Anup Mohan, Shirley J. Dyke, et al. Image-Based Collection and Measurements for Construction Pay Items. Purdue University, 2017. http://dx.doi.org/10.5703/1288284316510.

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Tuozzolo S. Camera Assembly design proposal for SRF cavity image collection. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1061984.

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Tuozzolo, S. Camera assembly design proposal for SRF cavity image collection. Office of Scientific and Technical Information (OSTI), 2011. http://dx.doi.org/10.2172/1029586.

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Gignac, Paul, Sarah Wright, Mariah Kenney, Amy Schuler, and Neggin Keshavarzian. Scientific Images Curation Curriculum. University of Minnesota Libraries, 2024. http://dx.doi.org/10.24926/2024.265766.

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A collection of materials used to instruct individuals how to curate scientific images. This is primarily targeted towards data stewards, but can be used by any and all when instructing on scientific image curation.
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Ngan, Mei, George W. Quinn, and Patrick Grother. Tattoo Recognition Technology – Best Practices (Tatt-BP) Guidelines for Tattoo Image Collection. National Institute of Standards and Technology, 2016. http://dx.doi.org/10.6028/nist.ir.8109.

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Alshaibi, Omar, Victoria Armstrong, Katie Brown, et al. Images of Research: An Art Gallery and Puzzle Book. Edited by Sandra Oza. University of Dundee, 2024. http://dx.doi.org/10.20933/100001304.

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Images of Research is an annual competition that challenges researchers to capture their work in a single image, alongside a short description. This competition has been run at the University of Dundee since 2020 and represents just a handful of the research projects being carried out by postgraduate researchers. The competition celebrates our research and the many original ways it can be expressed. This collection showcases the winning entries, mixed with fun sketches and puzzles to complete.
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Petrie, G. M., E. M. Perry, R. R. Kirkham, and D. E. Slator. Advanced image collection, information extraction, and change detection in support of NN-20 broad area search and analysis. Office of Scientific and Technical Information (OSTI), 1997. http://dx.doi.org/10.2172/552798.

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Heger, Karl, and Lasse Petersen. Tomato (software). GEOMAR Helmholtz Centre for Ocean Research Kiel, Germany, 2024. http://dx.doi.org/10.3289/sw_5_2024.

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The Tomato Tools are a collection of graphical user interface applications related to the Acquisition, Curation and Management Workflow of marine image data. The tools can be used as standalone applications or in conjunction to form whole workflows. For the latter the launcher Tomato provides an interface to create, manage and execute such workflows.
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Bhatt, Parth, Curtis Edson, and Ann MacLean. Image Processing in Dense Forest Areas using Unmanned Aerial System (UAS). Michigan Technological University, 2022. http://dx.doi.org/10.37099/mtu.dc.michigantech-p/16366.

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Imagery collected via Unmanned Aerial System (UAS) platforms has become popular in recent years due to improvements in a Digital Single-Lens Reflex (DSLR) camera (centimeter and sub-centimeter), lower operation costs as compared to human piloted aircraft, and the ability to collect data over areas with limited ground access. Many different application (e.g., forestry, agriculture, geology, archaeology) are already using and utilizing the advantages of UAS data. Although, there are numerous UAS image processing workflows, for each application the approach can be different. In this study, we dev
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Stelmakh, Marta. HISTORICAL CONTEXT IN THE COLLECTION OF ARTICLES BY TIMOTHY SNYDER «UKRAINIAN HISTORY, RUSSIAN POLITICS, EUROPEAN FUTURE». Ivan Franko National University of Lviv, 2021. http://dx.doi.org/10.30970/vjo.2021.50.11098.

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The article examines the problem of the image formation of Ukraine in the international arena in the historical journalism of Timothy Snyder. The subject of the research is the historical context in the journalistic collection «Ukrainian History, Russian Politics, European Future». It identifies the main considerations of the author on the past of Russian-Ukrainian relations and the need to develop historical consciousness in the fight against Russian manipulation. Methodology: the comparative, historical, system analysis and other methods are used in the process of scientific research. The re
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