Literatura académica sobre el tema "Image trustworthiness"
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Artículos de revistas sobre el tema "Image trustworthiness"
Hu, Donghui, Xiaotian Zhang, Yuqi Fan, Zhong-Qiu Zhao, Lina Wang, Xintao Wu y Xindong Wu. "On digital image trustworthiness". Applied Soft Computing 48 (noviembre de 2016): 240–53. http://dx.doi.org/10.1016/j.asoc.2016.07.010.
Texto completoLago, Federica, Quoc-Tin Phan y Giulia Boato. "Visual and Textual Analysis for Image Trustworthiness Assessment within Online News". Security and Communication Networks 2019 (14 de abril de 2019): 1–14. http://dx.doi.org/10.1155/2019/9236910.
Texto completoKristian, Galih. "Pengaruh Brand Ambassador Dan Brand Image Terhadap Keputusan Pembelian Dengan Trustworthiness Sebagai Variabel Intervening". Jurnal Ilmiah Manajemen Kesatuan 9, n.º 3 (29 de noviembre de 2021): 41–50. http://dx.doi.org/10.37641/jimkes.v9i3.570.
Texto completoSaenger, Christina y Doori Song. "Fostering beneficial consumer responses to in-feed sponsored articles". Journal of Consumer Marketing 36, n.º 5 (12 de agosto de 2019): 643–54. http://dx.doi.org/10.1108/jcm-12-2017-2475.
Texto completoShen, Cuihua, Mona Kasra, Wenjing Pan, Grace A. Bassett, Yining Malloch y 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, n.º 2 (24 de septiembre de 2018): 438–63. http://dx.doi.org/10.1177/1461444818799526.
Texto completoMarselina, Dian y Edward H. Siregar. "Pengaruh Celebrity Endorser terhadap Brand Image pada Kosmetik Wardah di Bogor". Jurnal Manajemen dan Organisasi 8, n.º 1 (3 de noviembre de 2017): 15–27. http://dx.doi.org/10.29244/jmo.v8i1.18598.
Texto completoRosa, Aslamia, Iisnawati Iisnawati y Islahuddin Daud. "Key Factors Analysis of E-Commerce and Marketplace Purchasing Decision in Palembang". SRIWIJAYA INTERNATIONAL JOURNAL OF DYNAMIC ECONOMICS AND BUSINESS 2, n.º 4 (22 de enero de 2019): 347. http://dx.doi.org/10.29259/sijdeb.v2i4.347-362.
Texto completoGogan, Taylor, Jennifer Beaudry y Julian Oldmeadow. "Within-Person Variability in First Impressions From Faces". Perception 50, n.º 7 (30 de mayo de 2021): 595–614. http://dx.doi.org/10.1177/03010066211019727.
Texto completoSaid, Christopher P., Sean G. Baron y Alexander Todorov. "Nonlinear Amygdala Response to Face Trustworthiness: Contributions of High and Low Spatial Frequency Information". Journal of Cognitive Neuroscience 21, n.º 3 (marzo de 2009): 519–28. http://dx.doi.org/10.1162/jocn.2009.21041.
Texto completoDesfiandi, Andi, S. Suman Rajest, P. S. Venkateswaran, M. Palani Kumar y Sonia Singh. "COMPANY CREDIBILITY: A TOOL TO TRIGGER POSITIVE CSR IMAGE IN THE CAUSE-BRAND ALLIANCE CONTEXT IN INDONESIA". Humanities & Social Sciences Reviews 7, n.º 6 (25 de noviembre de 2019): 320–31. http://dx.doi.org/10.18510/hssr.2019.7657.
Texto completoTesis sobre el tema "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.
Texto completoDoctor 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.
Texto completoDiep, Lisa y 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.
Texto completoQuan, Weize. "Detection of computer-generated images via deep learning". Thesis, Université Grenoble Alpes, 2020. http://www.theses.fr/2020GRALT076.
Texto completoWith 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.
Texto completoCapítulos de libros sobre el tema "Image trustworthiness"
Bruza, Peter D. y Lauren Fell. "Are Decisions of Image Trustworthiness Contextual? A Pilot Study". En Quantum Interaction, 39–50. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-35895-2_3.
Texto completoBeetz, Michael, Uwe Engel, Nina Hoyer, Lorenz Kähler, Hagen Langer, Holger Schultheis y Sirko Straube. "Trustworthiness and Well-Being: The Ethical, Legal, and Social Challenge of Robotic Assistance". En 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.
Texto completoGragnaniello, Diego, Francesco Marra y Luisa Verdoliva. "Detection of AI-Generated Synthetic Faces". En 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.
Texto completoDanbury, Annie, Maria Palazzo, Kathleen Mortimer y Alfonso Siano. "Cultural Perspectives on Advertising Perceptions and Brand Trustworthiness". En Brand Culture and Identity, 1524–43. IGI Global, 2019. http://dx.doi.org/10.4018/978-1-5225-7116-2.ch082.
Texto completoDanbury, Annie, Maria Palazzo, Kathleen Mortimer y Alfonso Siano. "Cultural Perspectives on Advertising Perceptions and Brand Trustworthiness". En 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.
Texto completoAlberola Amores, Leonor, Susana Miquel Segarra, Irene García Medina y Zahaira Fabiola González Romo. "Influence of Celebrity Endorsement on Mature Female Luxury Cosmetic Consumers". En 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.
Texto completoFerraz, Sofia, Rute Almeida, Pedro Vieira-Marques y Nuno Escudeiro. "Use of the Smartphone Camera to Monitor Adherence to Inhaled Therapy". En ATHENA Research Book, Volume 1, 313–19. University of Maribor Press, 2022. http://dx.doi.org/10.18690/um.3.2022.26.
Texto completoPantti, Mervi y Kari Andén-Papadopoulos. "Transparency and Trustworthiness:". En Amateur Images and Global News, 97–112. Intellect Books, 2014. http://dx.doi.org/10.2307/j.ctv36xvqsz.8.
Texto completoLu, Gehao y Joan Lu. "Introduction to the Investigating in Neural Trust and Multi Agent Systems". En 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.
Texto completoParhi, Arpit Kumar y Pooja Misra. "Factors Affecting Customer Loyalty in NCR". En 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.
Texto completoActas de conferencias sobre el tema "Image trustworthiness"
Sander, Jörg, Bob D. de Vos, Jelmer M. Wolterink y Ivana Išgum. "Towards increased trustworthiness of deep learning segmentation methods on cardiac MRI". En Image Processing, editado por Elsa D. Angelini y Bennett A. Landman. SPIE, 2019. http://dx.doi.org/10.1117/12.2511699.
Texto completoHu, Donghui, Lina Wang, Yu Zhou, Yang Zhou, Xiaqiu Jiang y Longfei Ma. "D-S Evidence Theory Based Digital Image Trustworthiness Evaluation Model". En 2009 International Conference on Multimedia Information Networking and Security. IEEE, 2009. http://dx.doi.org/10.1109/mines.2009.154.
Texto completoIslam, Mohammad Manzurul, Gour Karmakar, Joarder Kamruzzaman y Manzur Murshed. "Measuring Trustworthiness of IoT Image Sensor Data Using Other Sensors’ Complementary Multimodal Data". En 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.
Texto completoCHAN, Fanny F. Y., Sunny H. F. CHAN y Felix TANG. "LEARNING-ORIENTATION AND TRUSTWORTHINESS: TWO KEY COMPONENTS OF CORPORATE IMAGE IN THE ASIAN RETAIL CONTEXT". En 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.
Texto completoOlmedilla Fernández, María, José Carlos Romero, Rocío Martínez-Torres y Sergio Toral. "Applying NLP techniques to characterize what makes an online review trustworthy". En 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.
Texto completoAsadizanjani, Navid, Sina Shahbazmohamadi, Mark Tehranipoor y Domenic Forte. "Non-Destructive PCB Reverse Engineering Using X-Ray Micro Computed Tomography". En ISTFA 2015. ASM International, 2015. http://dx.doi.org/10.31399/asm.cp.istfa2015p0164.
Texto completoDiethei, Daniel, Ashley Colley, Lisa Dannenberg, Muhammad Fawad Jawaid Malik y Johannes Schoning. "The Usability and Trustworthiness of Medical Eye Images". En 2021 IEEE 9th International Conference on Healthcare Informatics (ICHI). IEEE, 2021. http://dx.doi.org/10.1109/ichi52183.2021.00065.
Texto completoShibina, T. y S. S. Lijina. "Trust only on what we see: Ensure trustworthiness of images on vehicular cloud". En 2017 International Conference on Intelligent Computing, Instrumentation and Control Technologies (ICICICT). IEEE, 2017. http://dx.doi.org/10.1109/icicict1.2017.8342824.
Texto completoHe, Yang, Ning Yu, Margret Keuper y Mario Fritz. "Beyond the Spectrum: Detecting Deepfakes via Re-Synthesis". En 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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