Добірка наукової літератури з теми "Image trustworthiness"
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Статті в журналах з теми "Image trustworthiness"
Hu, Donghui, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu, and Xindong Wu. "On digital image trustworthiness." Applied Soft Computing 48 (November 2016): 240–53. http://dx.doi.org/10.1016/j.asoc.2016.07.010.
Повний текст джерелаLago, Federica, Quoc-Tin Phan, and Giulia Boato. "Visual and Textual Analysis for Image Trustworthiness Assessment within Online News." Security and Communication Networks 2019 (April 14, 2019): 1–14. http://dx.doi.org/10.1155/2019/9236910.
Повний текст джерелаKristian, Galih. "Pengaruh Brand Ambassador Dan Brand Image Terhadap Keputusan Pembelian Dengan Trustworthiness Sebagai Variabel Intervening." Jurnal Ilmiah Manajemen Kesatuan 9, no. 3 (November 29, 2021): 41–50. http://dx.doi.org/10.37641/jimkes.v9i3.570.
Повний текст джерелаSaenger, Christina, and Doori Song. "Fostering beneficial consumer responses to in-feed sponsored articles." Journal of Consumer Marketing 36, no. 5 (August 12, 2019): 643–54. http://dx.doi.org/10.1108/jcm-12-2017-2475.
Повний текст джерелаShen, Cuihua, Mona Kasra, Wenjing Pan, Grace A. Bassett, Yining Malloch, and James F. O’Brien. "Fake images: The effects of source, intermediary, and digital media literacy on contextual assessment of image credibility online." New Media & Society 21, no. 2 (September 24, 2018): 438–63. http://dx.doi.org/10.1177/1461444818799526.
Повний текст джерелаMarselina, Dian, and Edward H. Siregar. "Pengaruh Celebrity Endorser terhadap Brand Image pada Kosmetik Wardah di Bogor." Jurnal Manajemen dan Organisasi 8, no. 1 (November 3, 2017): 15–27. http://dx.doi.org/10.29244/jmo.v8i1.18598.
Повний текст джерелаRosa, Aslamia, Iisnawati Iisnawati, and Islahuddin Daud. "Key Factors Analysis of E-Commerce and Marketplace Purchasing Decision in Palembang." SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 2, no. 4 (January 22, 2019): 347. http://dx.doi.org/10.29259/sijdeb.v2i4.347-362.
Повний текст джерелаGogan, Taylor, Jennifer Beaudry, and Julian Oldmeadow. "Within-Person Variability in First Impressions From Faces." Perception 50, no. 7 (May 30, 2021): 595–614. http://dx.doi.org/10.1177/03010066211019727.
Повний текст джерелаSaid, Christopher P., Sean G. Baron, and Alexander Todorov. "Nonlinear Amygdala Response to Face Trustworthiness: Contributions of High and Low Spatial Frequency Information." Journal of Cognitive Neuroscience 21, no. 3 (March 2009): 519–28. http://dx.doi.org/10.1162/jocn.2009.21041.
Повний текст джерелаDesfiandi, Andi, S. Suman Rajest, P. S. Venkateswaran, M. Palani Kumar, and Sonia Singh. "COMPANY CREDIBILITY: A TOOL TO TRIGGER POSITIVE CSR IMAGE IN THE CAUSE-BRAND ALLIANCE CONTEXT IN INDONESIA." Humanities & Social Sciences Reviews 7, no. 6 (November 25, 2019): 320–31. http://dx.doi.org/10.18510/hssr.2019.7657.
Повний текст джерелаДисертації з теми "Image trustworthiness"
Islam, Mohammad. "Measuring trustworthiness of image data in the internet of things environment." Thesis, Federation University Australia, 2021. http://researchonline.federation.edu.au/vital/access/HandleResolver/1959.17/177521.
Повний текст джерелаDoctor of Philosophy
Lago, Federica. "On the preservation of media trustworthiness in the social media era." Doctoral thesis, Università degli studi di Trento, 2022. http://hdl.handle.net/11572/334996.
Повний текст джерелаDiep, Lisa, and Amanda Stedt. "In HOs we trust : how crises affect brand image and trustworthiness in humanitarian organizations." Thesis, Högskolan Kristianstad, Sektionen för hälsa och samhälle, 2014. http://urn.kb.se/resolve?urn=urn:nbn:se:hkr:diva-12736.
Повний текст джерелаQuan, Weize. "Detection of computer-generated images via deep learning." Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALT076.
Повний текст джерелаWith the advances of image editing and generation software tools, it has become easier to tamper with the content of images or create new images, even for novices. These generated images, such as computer graphics (CG) image and colorized image (CI), have high-quality visual realism, and potentially throw huge threats to many important scenarios. For instance, the judicial departments need to verify that pictures are not produced by computer graphics rendering technology, colorized images can cause recognition/monitoring systems to produce incorrect decisions, and so on. Therefore, the detection of computer-generated images has attracted widespread attention in the multimedia security research community. In this thesis, we study the identification of different computer-generated images including CG image and CI, namely, identifying whether an image is acquired by a camera or generated by a computer program. The main objective is to design an efficient detector, which has high classification accuracy and good generalization capability. Specifically, we consider dataset construction, network architecture, training methodology, visualization and understanding, for the considered forensic problems. The main contributions are: (1) a colorized image detection method based on negative sample insertion, (2) a generalization method for colorized image detection, (3) a method for the identification of natural image (NI) and CG image based on CNN (Convolutional Neural Network), and (4) a CG image identification method based on the enhancement of feature diversity and adversarial samples
Hunter, Erik J. "Celebrity entrepreneurship and celebrity endorsement : similarities, differences and the effect of deeper engagement." Thesis, Queensland University of Technology, 2010. https://eprints.qut.edu.au/38902/1/Erik_Hunter_Thesis.pdf.
Повний текст джерелаЧастини книг з теми "Image trustworthiness"
Bruza, Peter D., and Lauren Fell. "Are Decisions of Image Trustworthiness Contextual? A Pilot Study." In Quantum Interaction, 39–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35895-2_3.
Повний текст джерелаBeetz, Michael, Uwe Engel, Nina Hoyer, Lorenz Kähler, Hagen Langer, Holger Schultheis, and Sirko Straube. "Trustworthiness and Well-Being: The Ethical, Legal, and Social Challenge of Robotic Assistance." In Robots in Care and Everyday Life, 1–26. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11447-2_1.
Повний текст джерелаGragnaniello, Diego, Francesco Marra, and Luisa Verdoliva. "Detection of AI-Generated Synthetic Faces." In Handbook of Digital Face Manipulation and Detection, 191–212. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-87664-7_9.
Повний текст джерелаDanbury, Annie, Maria Palazzo, Kathleen Mortimer, and Alfonso Siano. "Cultural Perspectives on Advertising Perceptions and Brand Trustworthiness." In Brand Culture and Identity, 1524–43. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7116-2.ch082.
Повний текст джерелаDanbury, Annie, Maria Palazzo, Kathleen Mortimer, and Alfonso Siano. "Cultural Perspectives on Advertising Perceptions and Brand Trustworthiness." In Analyzing the Cultural Diversity of Consumers in the Global Marketplace, 207–26. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-8262-7.ch010.
Повний текст джерелаAlberola Amores, Leonor, Susana Miquel Segarra, Irene García Medina, and Zahaira Fabiola González Romo. "Influence of Celebrity Endorsement on Mature Female Luxury Cosmetic Consumers." In Advances in Marketing, Customer Relationship Management, and E-Services, 274–95. IGI Global, 2021. http://dx.doi.org/10.4018/978-1-7998-5882-9.ch015.
Повний текст джерелаFerraz, Sofia, Rute Almeida, Pedro Vieira-Marques, and Nuno Escudeiro. "Use of the Smartphone Camera to Monitor Adherence to Inhaled Therapy." In ATHENA Research Book, Volume 1, 313–19. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.3.2022.26.
Повний текст джерелаPantti, Mervi, and Kari Andén-Papadopoulos. "Transparency and Trustworthiness:." In Amateur Images and Global News, 97–112. Intellect Books, 2014. http://dx.doi.org/10.2307/j.ctv36xvqsz.8.
Повний текст джерелаLu, Gehao, and Joan Lu. "Introduction to the Investigating in Neural Trust and Multi Agent Systems." In Examining Information Retrieval and Image Processing Paradigms in Multidisciplinary Contexts, 269–73. IGI Global, 2017. http://dx.doi.org/10.4018/978-1-5225-1884-6.ch015.
Повний текст джерелаParhi, Arpit Kumar, and Pooja Misra. "Factors Affecting Customer Loyalty in NCR." In Start-Up Enterprises and Contemporary Innovation Strategies in the Global Marketplace, 265–75. IGI Global, 2018. http://dx.doi.org/10.4018/978-1-5225-4831-7.ch020.
Повний текст джерелаТези доповідей конференцій з теми "Image trustworthiness"
Sander, Jörg, Bob D. de Vos, Jelmer M. Wolterink, and Ivana Išgum. "Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI." In Image Processing, edited by Elsa D. Angelini and Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2511699.
Повний текст джерелаHu, Donghui, Lina Wang, Yu Zhou, Yang Zhou, Xiaqiu Jiang, and Longfei Ma. "D-S Evidence Theory Based Digital Image Trustworthiness Evaluation Model." In 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.154.
Повний текст джерелаIslam, Mohammad Manzurul, Gour Karmakar, Joarder Kamruzzaman, and Manzur Murshed. "Measuring Trustworthiness of IoT Image Sensor Data Using Other Sensors’ Complementary Multimodal Data." In 2019 18th IEEE International Conference On Trust, Security And Privacy In Computing And Communications/13th IEEE International Conference On Big Data Science And Engineering (TrustCom/BigDataSE). IEEE, 2019. http://dx.doi.org/10.1109/trustcom/bigdatase.2019.00112.
Повний текст джерелаCHAN, Fanny F. Y., Sunny H. F. CHAN, and Felix TANG. "LEARNING-ORIENTATION AND TRUSTWORTHINESS: TWO KEY COMPONENTS OF CORPORATE IMAGE IN THE ASIAN RETAIL CONTEXT." In Bridging Asia and the World: Globalization of Marketing & Management Theory and Practice. Global Alliance of Marketing & Management Associations, 2014. http://dx.doi.org/10.15444/gmc2014.04.04.02.
Повний текст джерелаOlmedilla Fernández, María, José Carlos Romero, Rocío Martínez-Torres, and Sergio Toral. "Applying NLP techniques to characterize what makes an online review trustworthy." In CARMA 2022 - 4th International Conference on Advanced Research Methods and Analytics. valencia: Universitat Politècnica de València, 2022. http://dx.doi.org/10.4995/carma2022.2022.15085.
Повний текст джерелаAsadizanjani, Navid, Sina Shahbazmohamadi, Mark Tehranipoor, and Domenic Forte. "Non-Destructive PCB Reverse Engineering Using X-Ray Micro Computed Tomography." In ISTFA 2015. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.istfa2015p0164.
Повний текст джерелаDiethei, Daniel, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik, and Johannes Schoning. "The Usability and Trustworthiness of Medical Eye Images." In 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). IEEE, 2021. http://dx.doi.org/10.1109/ichi52183.2021.00065.
Повний текст джерелаShibina, T., and S. S. Lijina. "Trust only on what we see: Ensure trustworthiness of images on vehicular cloud." In 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342824.
Повний текст джерелаHe, Yang, Ning Yu, Margret Keuper, and Mario Fritz. "Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis." In Thirtieth International Joint Conference on Artificial Intelligence {IJCAI-21}. California: International Joint Conferences on Artificial Intelligence Organization, 2021. http://dx.doi.org/10.24963/ijcai.2021/349.
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