Relevant bibliographies by topics / Image management

Contents

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

Academic literature on the topic 'Image management'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 January 2023

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Journal articles on the topic "Image management"

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P.B REDDY, P. B. REDDY, M. VENKATA M VENKATA, and Dr MORUSU SIVA SANKAR Dr MORUSU SIVA SANKAR. "Advantage Of Image Management." International Journal of Scientific Research 3, no. 1 (June 1, 2012): 71–73. http://dx.doi.org/10.15373/22778179/jan2014/25.

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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 environment. It provides a user-friendly visualization of multi-dimensional images, a collection of image processing algorithms and methods for analysis of images, the management of spatial calibration, and facilities for the analysis of multi-variate images. ImageM can also be run on the open source alternative software to Matlab, Octave. ImageM is freely distributed on GitHub: https://github.com/mattools/ImageM.
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Ratib, O. "Imaging Informatics: from Image Management to Image Navigation." Yearbook of Medical Informatics 18, no. 01 (August 2009): 167–72. http://dx.doi.org/10.1055/s-0038-1638658.

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Summary Objective To review the rapid evolution of imaging informatics dealing with issues of management and communication of digital images starting from the era of simple storage and transfer of images to today’s world of interactive navigation in large sets of multidimensional data. Methods This paper will review the initial concepts of Picture Archiving and Communication Systems (PACS) and the early developments and standardization efforts that lead to the deployment of large intra-institutional networks of image distribution allowing radiologists and physicians to access and review images digitally. With the deployment of PACS came along the need for advanced tools for image visualization and image analysis. Results Review of the history of PACS and Imaging Informatics clearly shows that the early developments were focused on the radiologist’s requirements for diagnosis and image interpretation. These early developments lagged behind the rapid adoption of digital imaging in areas outside radiology. Only recently, imaging informatics shifted toward the development of new tools geared toward the needs of other users such as surgeons, referring physicians and care-providers, and even for the patients themselves. Also in the recent years, the development of multimedia and communication tools in the consumer market has influenced the design and strategic development of image management platforms inside and outside healthcare institutions. Conclusions The focus of imaging informatics has clearly shifted in the last decade from basic infrastructure design to complete data and image navigation systems. While the challenge of storing and managing large volumes of imaging data have slowly vanished with the rapid development if information technology, the new challenge emerged from the new requirements of image manipulation and analysis in clinical practice.
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Grycuk, Rafał, Patryk Najgebauer, Miroslaw Kordos, Magdalena M. Scherer, and Alina Marchlewska. "Fast Image Index for Database Management Engines." Journal of Artificial Intelligence and Soft Computing Research 10, no. 2 (April 1, 2020): 113–23. http://dx.doi.org/10.2478/jaiscr-2020-0008.

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AbstractLarge-scale image repositories are challenging to perform queries based on the content of the images. The paper proposes a novel, nested-dictionary data structure for indexing image local features. The method transforms image local feature vectors into two-level hashes and builds an index of the content of the images in the database. The algorithm can be used in database management systems. We implemented it with an example image descriptor and deployed in a relational database. We performed the experiments on two image large benchmark datasets.
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Narayanan, S. Lakshmi, Dr K. Sankaranarayanan, and Dr V. Vijayakumari. "Image Quality Aware Secured Image Sharing Method With Guaranteed Digital Rights Management." Journal of Advanced Research in Dynamical and Control Systems 11, no. 10-SPECIAL ISSUE (October 31, 2019): 1136–45. http://dx.doi.org/10.5373/jardcs/v11sp10/20192920.

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Armstrong, Peter. "Management, image and management accounting." Critical Perspectives on Accounting 13, no. 3 (June 2002): 281–95. http://dx.doi.org/10.1006/cpac.2001.0508.

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CHUBB, CHARLIE, YOSHI INAGAKI, C. COTMAN, B. CUMMINGS, and P. C. Y. SHEU. "SEMANTIC BIOLOGICAL IMAGE MANAGEMENT AND ANALYSIS." International Journal on Artificial Intelligence Tools 13, no. 04 (December 2004): 881–96. http://dx.doi.org/10.1142/s0218213004001879.

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Most commercially available image retrieval systems are so generic that they are not specialized to handle biological images and the feature domains associated with them. In molecular biology, neurobiology and cellular biology, for example, the recognition, classification and retrieval of distinct cellular features is a critically needed tool representing a computational problem that embodies the central challenges facing biological image database research. It often requires the consideration of expert/conceptual knowledge of images and the objects contained within such images. This paper discusses the feasibility of developing a set of imaging algorithms that allows the user to train an imaging system/database to recognize biological objects of various sorts based on their own criteria. The image software builds a model of the selected objects by reiterative training, evolving the ability (i.e., the underlying rules) to recognize these objects. These objects are in turn archived into a growing database that builds upon the experience of multiple individuals that can be referred to as an object zoo. The user can search these zoos using newly acquired images based on similarly using more narrow or broadened criteria based on a new, semantic database framework called SemanticObjects.
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FLIEGER, Marcin. "IMAGE CRISIS MANAGEMENT." Journal of Science of the Gen. Tadeusz Kosciuszko Military Academy of Land Forces 170, no. 4 (December 2, 2013): 101–13. http://dx.doi.org/10.5604/17318157.1115176.

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BOKOVETS, Viktoria, and Roman PYSMENNYI. "COMPANY IMAGE MANAGEMENT." Herald of Khmelnytskyi National University. Economic sciences 304, no. 2(1) (March 18, 2022): 128–30. http://dx.doi.org/10.31891/2307-5740-2022-304-2(1)-17.

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The article deals with the essence of the image, its types and impact on competitiveness. Factors influencing the external and internal image of the enterprise are highlighted. Identified the main mistakes managers in image management. Have been formed a number of approaches to enterprise image management. Analysis of the essence and content of these approaches to the formation and management of the image of the company makes it possible to improve the composition of the main factors in the formation of the image of the company and specific methods of managing it at specific stages of the production cycle. Using any approach requires prior diagnosis of current state of the image and the formation on this basis the optimal set of management actions taking into account the characteristics of the company and the environment in which it functions. The enterprise, taking into account consumers and the opinion of society and seeks to form not only a positive image, but also an image that will increase the competitiveness of the market and contribute for increasing its efficiency.
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Sempeles, Susan. "Cardiology Image Management." Journal of Clinical Engineering 32, no. 3 (July 2007): 86–87. http://dx.doi.org/10.1097/01.jce.0000282629.23668.e8.

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Dissertations / Theses on the topic "Image management"

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Suh, Bongwon. "Image management using pattern recognition systems." College Park, Md. : University of Maryland, 2005. http://hdl.handle.net/1903/2455.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2005.
Thesis research directed by: Computer Science. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Fish, Joshua Stephen Andrus. "Terror Management Theory and Body Image." Thesis, University of North Texas, 2011. https://digital.library.unt.edu/ark:/67531/metadc103315/.

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Research has not explicitly examined the link between key components of terror management theory (TMT) and body image without the use of mortality salience. This project explored the link between cultural worldview, self-esteem, body image, and death anxiety. Multiple measures were used to create a structural equation model examining relationships between body image and death anxiety as mediated by body image in the context of TMT. The proposed model did not fit the data. Minor modifications were made to the model keeping within the proposed theoretical perspective. In the modified model the relationships between cultural worldview and death anxiety as mediated by body image were either non-existent or weak. Hierarchical regression analyses did suggest that some aspects of body image indeed did predict some, but not all dimension of death anxiety in this sample of young adults.
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Todd, Louise A. "Festival images : brand image and stakeholders' brand relationship types at the Edinburgh Festival Fringe." Thesis, Edinburgh Napier University, 2011. http://researchrepository.napier.ac.uk/Output/4344.

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The Edinburgh Festival Fringe (The Fringe) is the largest arts festival in the world and it has inspired the creation of similar festivals world-wide. Since its conception in 1947, the Fringe has demonstrated significant growth in visitor numbers; ticket sales; and its economic contribution. Despite this, the sustainable future of Edinburgh's festivals is debated as Edinburgh, ‘the Festival City', faces threats from other festival destinations. Festivals position Edinburgh creatively in contrast to the city's traditionally perceived image as a cultural-historic centre. Despite this, little research has been undertaken into the creative and cultural significance of Edinburgh's festivals, including the Fringe. This interdisciplinary research grounded in marketing, tourism, and festival and event management; and underpinned by constructivism, presents an understanding of types of brand relationships that exist between the Fringe and its primary stakeholders. This is achieved through defining both the Fringe brand image and its primary stakeholders; and applying these definitions to the development of a typology of Fringe-stakeholders' brand relationships. The significance of this study is evident within its topic of inquiry and the research methods applied. In the little-considered arena of arts festivals and their stakeholders, this is the first in-depth study into the Fringe as a festival and festival brand. Within this, the definition of a Fringe brand image contributes to understanding the cultural and creative significance of the Fringe. Furthermore, this research contributes a unique understanding of the types of stakeholders that are engaged with the Fringe. The types of brand relationships that exist between these stakeholders and the Fringe are another significant contribution to knowledge and understanding. While specific to the present context, these findings may prove transferable to further festivals or events, and related areas and industries. The contribution made by this research to the methodological developments in festival and event studies is of additional significance. The application of visual research methods, including semiotic analysis and photo-elicitation within phenomenological interviews, has previously been applied in marketing, consumer, and tourism research, but not to the understanding of festival brands and stakeholders' brand relationship types. Findings of this research illustrate that existing marketing and consumer brand frameworks and stakeholder theories are applicable to festivals. Further, it is possible to define ‘a' Fringe brand image which is subjective and contradictory. The unique open-access and organic, operational model of the Fringe facilitates its many contributors, and consumers. Fringe stakeholders may be categorised according to their level of engagement with the Fringe (as primary or secondary) and their particular stakeholder role(s), which are varied and multiple. Fringe-stakeholder brand relationship types are overwhelmingly positive; and are based upon interpersonal relationship dimensions (including friendships, marriages, kinships and partnerships). Fringe-stakeholder brand relationship types can be classified therefore as having similar dimensions to those brand relationship types previously described for consumer products and brands.
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Beck, Daniel S. "Microelectronic obsolescence management." Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2003. http://library.nps.navy.mil/uhtbin/hyperion-image/03Jun%5FBeck.pdf.

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Mohan, Raj. "XML based adaptive IPsec policy management in a trust management context /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2002. http://library.nps.navy.mil/uhtbin/hyperion-image/02sep%5FMohan.pdf.

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Thesis (M.S. in Computer Science and M.S. in Information Technology Management)--Naval Postgraduate School, September 2002.
Thesis advisor(s): Cynthia E. Irvine, Timothy E. Levin. Includes bibliographical references (p. 71-72). Also available online.
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Tromp, Sallyanne Lindsey. "Corporate reputation management : reconciling identity-image gaps." Diss., University of Pretoria, 2012. http://hdl.handle.net/2263/23270.

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A good corporate reputation is extremely valuable, and confers substantial benefits to the organisation. In order to better manage their corporate reputation, companies need to align their corporate identity and corporate image. Where they do not align and there are gaps, company directors need to identify and reconcile those identity-image gaps.In this research study, corporate reputation, and specifically image and identity, is investigated to understand whether there is gap between how the company views itself (corporate identity) and how it is viewed by its stakeholders (corporate image).Directors' perceptions of gaps between corporate identity and corporate image were explored through a qualitative research methodology that focussed on collecting primary data using an exploratory, phenomenological approach. Ten depth interviews were conducted with directors of companies operating in South Africa, who were selected through convenience sampling.A framework is proposed to assist the management of corporate reputation by reconciling identity-image gaps in companies. The core causes of these gaps are found in the company, the staff of the company, and in the external marketplace. Once these identity-image gaps are identified and acknowledged, mechanisms are proposed to reconcile the gaps through focusing on knowledge management, relationship management, communication, trust and implementation.
Dissertation (MBA)--University of Pretoria, 2012.
Gordon Institute of Business Science (GIBS)
unrestricted
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Brooks, Brad Walton. "Automated Data Import and Revision Management in a Product Lifecycle Management Environment." Diss., CLICK HERE for online access, 2009. http://contentdm.lib.byu.edu/ETD/image/etd3182.pdf.

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Yao, Bin. "Building an interoperable distributed image database management system." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 2000. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape3/PQDD_0011/MQ59905.pdf.

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Behrenbruch, Christian P. "Image fusion for the management of breast disease." Thesis, University of Oxford, 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.403936.

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Wang, Zhaohui. "Development of an image dependent colour management system." Thesis, University of Leeds, 2008. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.487783.

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This research is focused on the development of colorimetric tools to improve the current colour management systems which are based on the specifications defined by the International Color Consortium (ICC) and can be only applied in a set of restricted working conditions.
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Books on the topic "Image management"

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Moscattini, Paolo. Document image management. London: University of East London, 1991.

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R, Walker. Controlled image design: The management of stereophonic image quality. London: Research and Development Dept., Technical Resources Division, The British Broadcasting Corporation, 1995.

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Kelly, Marion V. Configuration management: The changing image. London: McGraw-Hill Book Co., 1996.

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Otten, Klaus. Integrated document and image management. Silver Spring, Md. (1100 Wayne Ave., Suite 1100, Silver Spring 20910): Association for Information and Image Management, 1987.

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Image processing: A management perspective. New York, NY: McGraw-Hill, 1991.

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Reputation, image, and impression management. Chichester, England: Wiley, 1993.

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Organizational perception management. Mahwah, N.J: Lawrence Erlbaum Associates, 2006.

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Masaki, Ichiro. Image-information systems for traffic management. Cambridge, MA, USA: Productivity From Information Technology, "PROFIT" Research Initiative, Sloan School of Management, Massachusetts Institute of Technology, 1994.

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Phillip, G. QUIMaS: Queen's University Image Management System. [Belfast]: Queen's University, 1992.

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Understanding color management. Australia: Thomson/Delmar Learning, 2004.

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Book chapters on the topic "Image management"

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Markelov, Andrey. "Image Management." In Certified OpenStack Administrator Study Guide, 31–42. Berkeley, CA: Apress, 2016. http://dx.doi.org/10.1007/978-1-4842-2125-9_4.

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Markelov, Andrey. "Image Management." In Certification Study Companion Series, 59–75. Berkeley, CA: Apress, 2022. http://dx.doi.org/10.1007/978-1-4842-8804-7_5.

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Martens, Jean-Bernard. "Color Management." In Image Technology Design, 145–91. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4615-0443-6_4.

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da Camara, Nuno Zarco. "Identity, Image and Reputation." In Reputation Management, 47–58. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-19266-1_6.

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Hon, Man, Richard Silbergleit, and A. Orlando Ortiz. "Anticoagulation Management." In Image-Guided Percutaneous Spine Biopsy, 15–33. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-43326-4_2.

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Wong, Stephen T. C. "Digital Image Management In Biomedicine." In Medical Image Databases, 1–24. Boston, MA: Springer US, 1998. http://dx.doi.org/10.1007/978-1-4615-5553-7_1.

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Furnham, Adrian. "Image versus quality." In Head & Heart Management, 93–94. London: Palgrave Macmillan UK, 2008. http://dx.doi.org/10.1057/9780230598317_32.

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Ferilli, Stefano. "Image Processing." In Automatic Digital Document Processing and Management, 113–43. London: Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-198-1_4.

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Benölken, Heinz, Emma Gerber, and Reinhard M. Skudlik. "EF 8: Image-Management." In Versicherungsvertrieb im Wandel, 282–85. Wiesbaden: Gabler Verlag, 2005. http://dx.doi.org/10.1007/978-3-322-91304-3_32.

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Cartwright, Roger. "Image and public relations." In Mastering Marketing management, 240–63. London: Macmillan Education UK, 2002. http://dx.doi.org/10.1007/978-1-137-06985-6_12.

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Conference papers on the topic "Image management"

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Doan, Tien Tai, Guillaume Ghyselinck, and Blaise Hanczar. "Informative Multimodal Unsupervised Image-to-Image Translation." In 9th International Conference of Security, Privacy and Trust Management (SPTM 2021). AIRCC Publishing Corporation, 2021. http://dx.doi.org/10.5121/csit.2021.110503.

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We propose a new method of multimodal image translation, called InfoMUNIT, which is an extension of the state-of-the-art method MUNIT. Our method allows controlling the style of the generated images and improves their quality and diversity. It learns to maximize the mutual information between a subset of style code and the distribution of the output images. Experiments show that our model cannot only translate one image from the source domain to multiple images in the target domain but also explore and manipulate features of the outputs without annotation. Furthermore, it achieves a superior diversity and a competitive image quality to state-of-the-art methods in multiple image translation tasks.
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Smedema, Kees C. "From image management to workflow management." In Medical Imaging 1996, edited by R. Gilbert Jost and Samuel J. Dwyer III. SPIE, 1996. http://dx.doi.org/10.1117/12.239241.

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Dwyer III, Samuel J., Louis H. Wetzel, John M. Bramble, Glendon G. Cox, and Kirkman G. Baxter. "Radiology Image Management Networks." In OE/LASE '89, edited by John C. Urbach. SPIE, 1989. http://dx.doi.org/10.1117/12.952854.

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Barrus, John W., and Edward L. Schwartz. "Image-based document management." In the 2014 ACM symposium. New York, New York, USA: ACM Press, 2014. http://dx.doi.org/10.1145/2644866.2644891.

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Zhang, Jiang, Bin Li, Li Zhao, and Shi-Qiang Yang. "FLMP: a flexible license management protocol for digital rights management." In Visual Communications and Image Processing 2005. SPIE, 2005. http://dx.doi.org/10.1117/12.631639.

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Shurong Li and Zhengxin Chen. "Enhanced medical image management using an image algebra." In Proceedings of the IEEE International Symposium on Industrial Electronics. IEEE, 2005. http://dx.doi.org/10.1109/isie.2005.1529100.

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Li, Li, Xiaogang Liu, and Jun Li. "Apparel Brand Image Management Based on Knowledge Management." In 2010 International Conference on Management and Service Science (MASS 2010). IEEE, 2010. http://dx.doi.org/10.1109/icmss.2010.5577084.

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Burmester, G., and H. Rohler. "Objective-based Image Data Management." In Second EAGE Borehole Geology Workshop. Netherlands: EAGE Publications BV, 2017. http://dx.doi.org/10.3997/2214-4609.201702393.

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Smith, Michael A., Andy Choi, and Serge Aublant. "Mobile image capture and management." In the 2004 joint ACM/IEEE conference. New York, New York, USA: ACM Press, 2004. http://dx.doi.org/10.1145/996350.996484.

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Glicksman, Robert A., Fred W. Prior, and Dennis L. Wilson. "Image management within a PACS." In Medical Imaging 1993, edited by R. Gilbert Jost. SPIE, 1993. http://dx.doi.org/10.1117/12.152878.

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Reports on the topic "Image management"

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Dossa, D. Multi-Petabyte Image Data Management Systems. Office of Scientific and Technical Information (OSTI), January 2007. http://dx.doi.org/10.2172/900059.

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Goldschneider, Jill, Lydia Ng, and Vikram Chalana. PDE Software for Digital Image Management. Fort Belvoir, VA: Defense Technical Information Center, July 2000. http://dx.doi.org/10.21236/ada384519.

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Lingner, Stefan, Karl Heger, and Claas Faber. MAMS Image Broker. GEOMAR, December 2022. http://dx.doi.org/10.3289/sw_3_2022.

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The GEOMAR Helmhotz Centre for Ocean Research Kiel is operating a Media Asset Management System (MAMS) which manages large amounts image- and video data. Similar systems are operated by the Helmholtz Centre HEREON and by the Alfred Wegener Institute (AWI). Although the MAMS system provides access to data and metadata using an API, it is not possible to directly request image data without prior knowledge of the internal MAMS data structure. The image broker is a web service which brokers between a client (e.g. web-browser) and the MAMS. It allows users to request images by metadata values (e.g. image uuid). The broker uses the [IIIF](https://iiif.io/) standard which allows users to request the images in different formats, scaled copies or only specific parts of the image.
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Meyer-Wegener, Klaus, Vincent Y. Lum, and C. T. Wu. Image Database Management in a Multimedia System. Fort Belvoir, VA: Defense Technical Information Center, August 1988. http://dx.doi.org/10.21236/ada199561.

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Byron, B. D. ,. Westinghouse Hanford. Visual Image Digital Object Network (VIDON) software project management plan. Office of Scientific and Technical Information (OSTI), July 1996. http://dx.doi.org/10.2172/296586.

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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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Rigotti, Christophe, and Mohand-Saïd Hacid. Representing and Reasoning on Conceptual Queries Over Image Databases. Aachen University of Technology, 1999. http://dx.doi.org/10.25368/2022.89.

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The problem of content management of multimedia data types (e.g., image, video, graphics) is becoming increasingly important with the development of advanced multimedia applications. Traditional database management systems are inadequate for the handling of such data types. They require new techniques for query formulation, retrieval, evaluation, and navigation. In this paper we develop a knowledge-based framework for modeling and retrieving image data by content. To represent the various aspects of an image object's characteristics, we propose a model which consists of three layers: (1) Feature and Content Layer, intended to contain image visual features such as contours, shapes,etc.; (2) Object Layer, which provides the (conceptual) content dimension of images; and (3) Schema Layer, which contains the structured abstractions of images, i.e., a general schema about the classes of objects represented in the object layer. We propose two abstract languages on the basis of description logics: one for describing knowledge of the object and schema layers, and the other, more expressive, for making queries. Queries can refer to the form dimension (i.e., information of the Feature and Content Layer) or to the content dimension (i.e., information of the Object Layer). These languages employ a variable free notation, and they are well suited for the design, verification and complexity analysis of algorithms. As the amount of information contained in the previous layers may be huge and operations performed at the Feature and Content Layer are time-consuming, resorting to the use of materialized views to process and optimize queries may be extremely useful. For that, we propose a formal framework for testing containment of a query in a view expressed in our query language. The algorithm we propose is sound and complete and relatively efficient.
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8

Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

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Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no major revisions in the overall objective, however, several revisions were made on the specific objectives. The revised specific objectives were: (1) to develop a yield mapping system for a static situation, using color and thermal imaging independently, (2) to integrate color and thermal imaging for improved yield estimation by combining thermal images with color images to improve fruit detection, and (3) to expand the system to an autonomous mobile platform for a continuous-measure situation. Background, major conclusions, solutions and achievements -- Yield mapping is considered as an initial step for applying precision agriculture technologies. Although many yield mapping systems have been developed for agronomic crops, it remains a difficult task for mapping yield of tree crops. In this project, an autonomous immature fruit yield mapping system was developed. The system could detect and count the number of fruit at early growth stages of citrus fruit so that farmers could apply site-specific management based on the maps. There were two sub-systems, a navigation system and an imaging system. Robot Operating System (ROS) was the backbone for developing the navigation system using an unmanned ground vehicle (UGV). An inertial measurement unit (IMU), wheel encoders and a GPS were integrated using an extended Kalman filter to provide reliable and accurate localization information. A LiDAR was added to support simultaneous localization and mapping (SLAM) algorithms. The color camera on a Microsoft Kinect was used to detect citrus trees and a new machine vision algorithm was developed to enable autonomous navigations in the citrus grove. A multimodal imaging system, which consisted of two color cameras and a thermal camera, was carried by the vehicle for video acquisitions. A novel image registration method was developed for combining color and thermal images and matching fruit in both images which achieved pixel-level accuracy. A new Color- Thermal Combined Probability (CTCP) algorithm was created to effectively fuse information from the color and thermal images to classify potential image regions into fruit and non-fruit classes. Algorithms were also developed to integrate image registration, information fusion and fruit classification and detection into a single step for real-time processing. The imaging system achieved a precision rate of 95.5% and a recall rate of 90.4% on immature green citrus fruit detection which was a great improvement compared to previous studies. Implications – The development of the immature green fruit yield mapping system will help farmers make early decisions for planning operations and marketing so high yield and profit can be achieved.
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Podmore, Miranda, and Jennifer Paff Ogle. The Lived Experience of CrossFit as a Context for the Development of Women's Body Image and Appearance Management Practices. Ames: Iowa State University, Digital Repository, 2017. http://dx.doi.org/10.31274/itaa_proceedings-180814-1819.

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Chao, K. S. Development of a Dedicated Radiotherapy Unit with Real-Time Image Guidance and Motion Management for Accelerated Partial Breast Irradiation. Fort Belvoir, VA: Defense Technical Information Center, August 2012. http://dx.doi.org/10.21236/ada601791.

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