Digital Image Authentication

Author(s):  
Yue Li ◽  
Chia-Hung Wei

Digital image authentication refers to all the techniques performing anti-falsification, digital image copyright protection, or access control. A large number of DIA techniques have been developed to authenticate digital images, including cryptography-based digital image authentication (CBDIA) techniques and data-hiding-based digital image authentication (DHBDIA) techniques. This paper not only provides some practical applications on image authentication, but also describes general frameworks of image watermarking and the general techniques, including robust watermarking, fragile watermarking, and semi-fragile watermarking. This paper also addresses the potential issues on future research directions, including managing the PRNU database, development of advanced PRNU-based blind authentication techniques, and search for digital fingerprints.

Information ◽  
2020 ◽  
Vol 11 (2) ◽  
pp. 110 ◽  
Author(s):  
Mahbuba Begum ◽  
Mohammad Shorif Uddin

Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.


2020 ◽  
Vol 2020 ◽  
pp. 1-12 ◽  
Author(s):  
Mahbuba Begum ◽  
Mohammad Shorif Uddin

Digital image watermarking is an attractive research area since it protects the multimedia data from unauthorized access. For designing an efficient and robust digital image watermarking system, the trade-off among imperceptibility, robustness, capacity, and security must be maintained. Various studies regarding this concern have been performed to ensure these requirements by hybridizing different domains, such as spatial and transform domains. In this paper, we have presented an analytical study of the existing hybrid digital image watermarking methods. At first, we have given a standard framework for designing a hybrid method that ensures the basic design requirements of watermarking for various applications. After a brief literature review, we compared and analyzed the complexity of several existing hybrid methods in a tabular form. The limitations and applications of these methods are also highlighted. Finally, we summarized the challenges of the existing methods and concluded the study by giving future research directions.


2021 ◽  
Vol 13 (8) ◽  
pp. 4206
Author(s):  
Jamilya Nurgazina ◽  
Udsanee Pakdeetrakulwong ◽  
Thomas Moser ◽  
Gerald Reiner

The lack of transparency and traceability in food supply chains (FSCs) is raising concerns among consumers and stakeholders about food information credibility, food quality, and safety. Insufficient records, a lack of digitalization and standardization of processes, and information exchange are some of the most critical challenges, which can be tackled with disruptive technologies, such as the Internet of Things (IoT), blockchain, and distributed ledger technologies (DLTs). Studies provide evidence that novel technological and sustainable practices in FSCs are necessary. This paper aims to describe current practical applications of DLTs and IoT in FSCs, investigating the challenges of implementation, and potentials for future research directions, thus contributing to achievement of the United Nations’ Sustainable Development Goals (SDGs). Within a systematic literature review, the content of 69 academic publications was analyzed, describing aspects of implementation and measures to address the challenges of scalability, security, and privacy of DLT, and IoT solutions. The challenges of high costs, standardization, regulation, interoperability, and energy consumption of DLT solutions were also classified as highly relevant, but were not widely addressed in literature. The application of DLTs in FSCs can potentially contribute to 6 strategic SDGs, providing synergies and possibilities for more sustainable, traceable, and transparent FSCs.


Author(s):  
Zheng Wang ◽  
Zhixiang Wang ◽  
Yinqiang Zheng ◽  
Yang Wu ◽  
Wenjun Zeng ◽  
...  

An efficient and effective person re-identification (ReID) system relieves the users from painful and boring video watching and accelerates the process of video analysis. Recently, with the explosive demands of practical applications, a lot of research efforts have been dedicated to heterogeneous person re-identification (Hetero-ReID). In this paper, we provide a comprehensive review of state-of-the-art Hetero-ReID methods that address the challenge of inter-modality discrepancies. According to the application scenario, we classify the methods into four categories --- low-resolution, infrared, sketch, and text. We begin with an introduction of ReID, and make a comparison between Homogeneous ReID (Homo-ReID) and Hetero-ReID tasks. Then, we describe and compare existing datasets for performing evaluations, and survey the models that have been widely employed in Hetero-ReID. We also summarize and compare the representative approaches from two perspectives, i.e., the application scenario and the learning pipeline. We conclude by a discussion of some future research directions. Follow-up updates are available at https://github.com/lightChaserX/Awesome-Hetero-reID


Author(s):  
Odeh R. Al-Jayyousi ◽  
Christopher M. Durugbo

Although innovation laboratories offer creative and distinct physical spaces for mediating and directing innovation processes, research on their applicability for co-creative learning during serious play, particularly through Lego Serious Play (LSP) workshops remains limited. Previous studies suggest that serious play workshops tend to focus on scenarios, problem solving and reflective processes, with limited considerations for joint co-creation and learning potentials within innovation laboratories. Motivated by the creative prospects of metaphoric representations and shared stories, this study explores the possibilities of harnessing LSP for co-creative learning in innovation laboratories. This case study draws theoretical insights and practical relevance from a co-creative learning workshop involving three learning scenarios within a Middle Eastern and emerging economy context. Findings from the workshop show variability in representations, interactions and reflections, shaping possibilities for co-creative learning in innovation laboratories. Representations focus on systems, solutions and problems during fragmented, model-supported, model-mediated and integrated interactions that underpin a range of instance-based, variance-based, convergence-based and divergence-based reflections. These insights contribute to co-creation literature that views value creation as an amalgamation of open, collaborative and user innovation. The study concludes by discussing its theoretical implications, practical applications, and methodological limitations, which serve as the basis for future research directions.


Author(s):  
Salheddine Kabou ◽  
Sidi mohamed Benslimane ◽  
Mhammed Mosteghanemi

Many organizations, especially small and medium business (SMB) enterprises require the collection and sharing of data containing personal information. The privacy of this data must be preserved before outsourcing to the commercial public. Privacy preserving data publishing PPDP refers to the process of publishing useful information while preserving data privacy. A variety of approaches have been proposed to ensure privacy by applying traditional anonymization models which focused only on the single publication of datasets. In practical applications, data publishing is more complicated where the organizations publish multiple times for different recipients or after modifications to provide up-to-date data. Privacy preserving dynamic data publication PPDDP is a new process in privacy preservation which addresses the anonymization of the data for different purposes. In this survey, the author will systematically evaluate and summarize different studies to PPDDP, clarify the differences and requirements between the scenarios that can exist, and propose future research directions.


Author(s):  
Li-Xiao Zheng ◽  
Shuai Ma ◽  
Zu-Xi Chen ◽  
Xiang-Yu Luo

AbstractRegular expressions are widely used within and even outside of computer science due to their expressiveness and flexibility. However, regular expressions have a quite compact and rather tolerant syntax that makes them hard to understand, hard to compose, and error-prone. Faulty regular expressions may cause failures of the applications that use them. Therefore, ensuring the correctness of regular expressions is a vital prerequisite for their use in practical applications. The importance and necessity of ensuring correct definitions of regular expressions have attracted extensive attention from researchers and practitioners, especially in recent years. In this study, we provide a review of the recent works for ensuring the correct usage of regular expressions. We classify those works into different categories, including the empirical study, test string generation, automatic synthesis and learning, static checking and verification, visual representation and explanation, and repairing. For each category, we review the main results, compare different approaches, and discuss their advantages and disadvantages. We also discuss some potential future research directions.


Polymers ◽  
2021 ◽  
Vol 13 (3) ◽  
pp. 320
Author(s):  
Duo Chen ◽  
Juanzi Li ◽  
Yuhuan Yuan ◽  
Chang Gao ◽  
Yunguang Cui ◽  
...  

Recently, the application of polymer-based composites at cryogenic conditions has become a hot topic, especially in aerospace fields. At cryogenic temperature, the polymer becomes more brittle, and the adverse effect of thermal stress induced by temperature is more remarkable. In this paper, the research development of thermoset and thermoplastic polymers for cryogenic applications are all reviewed. This review considers the literature concerning: (a) the cryogenic performance of modified thermoset polymers and the improving mechanisms of the reported modification methods; (b) the cryogenic application potential of some commercial thermoplastic polymers and the cryogenic performance of modified thermoplastic polymers; (c) the recent advance in the use of polymer for special cryogenic environment-liquid oxygen. This paper provides a comprehensive overview of the research development of the polymer for cryogenic application. Moreover, future research directions have been proposed to facilitate its practical applications in aerospace.


2021 ◽  
Vol 12 ◽  
Author(s):  
Lisa Musculus ◽  
Azzurra Ruggeri ◽  
Markus Raab

Human motor skills are exceptional compared to other species, no less than their cognitive skills. In this perspective paper, we suggest that “movement matters!,” implying that motor development is a crucial driving force of cognitive development, much more impactful than previously acknowledged. Thus, we argue that to fully understand and explain developmental changes, it is necessary to consider the interaction of motor and cognitive skills. We exemplify this argument by introducing the concept of “embodied planning,” which takes an embodied cognition perspective on planning development throughout childhood. From this integrated, comprehensive framework, we present a novel climbing paradigm as the ideal testbed to explore the development of embodied planning in childhood and across the lifespan. Finally, we outline future research directions and discuss practical applications of the work on developmental embodied planning for robotics, sports, and education.


2005 ◽  
Vol 19 (3) ◽  
pp. 267-287 ◽  
Author(s):  
Sophia Jowett ◽  
Melina Timson-Katchis

The study aims to explore the nature of influences that parents exert on the quality of the dyadic coach-athlete relationship. A conceptual model was proposed as a guiding framework for the study. The proposed model incorporates Sprecher, Felmlee, Orbuch, and Willets’ (2002) notion of social networks and Jowett and Cockerill’s (2002) conceptualization of coach-athlete relationships. Fifteen participants from five coach-athleteparent triads were interviewed, and content analysis revealed that athletes’ parents (a “psychologically significant” network member) provided a range of information, opportunities, and extensive emotional support, all of which influenced the quality of the coach-athlete relationship as defined by closeness, commitment, and complementarity. Results are discussed based on previous relevant research along with recommendations for future research directions and practical applications.


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