A Comprehensive Taxonomy of Dynamic Texture Representation

2023 ◽  
Vol 55 (1) ◽  
pp. 1-39
Author(s):  
Thanh Tuan Nguyen ◽  
Thanh Phuong Nguyen
Keyword(s):  
Large Scale ◽  
Environmental Changes ◽  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Research Activities ◽  
Potential Applications ◽  
Benchmark Datasets ◽  
Negative Impacts ◽  
Made In

Representing dynamic textures (DTs) plays an important role in many real implementations in the computer vision community. Due to the turbulent and non-directional motions of DTs along with the negative impacts of different factors (e.g., environmental changes, noise, illumination, etc.), efficiently analyzing DTs has raised considerable challenges for the state-of-the-art approaches. For 20 years, many different techniques have been introduced to handle the above well-known issues for enhancing the performance. Those methods have shown valuable contributions, but the problems have been incompletely dealt with, particularly recognizing DTs on large-scale datasets. In this article, we present a comprehensive taxonomy of DT representation in order to purposefully give a thorough overview of the existing methods along with overall evaluations of their obtained performances. Accordingly, we arrange the methods into six canonical categories. Each of them is then taken in a brief presentation of its principal methodology stream and various related variants. The effectiveness levels of the state-of-the-art methods are then investigated and thoroughly discussed with respect to quantitative and qualitative evaluations in classifying DTs on benchmark datasets. Finally, we point out several potential applications and the remaining challenges that should be addressed in further directions. In comparison with two existing shallow DT surveys (i.e., the first one is out of date as it was made in 2005, while the newer one (published in 2016) is an inadequate overview), we believe that our proposed comprehensive taxonomy not only provides a better view of DT representation for the target readers but also stimulates future research activities.

scholarly journals Large-scale Semantic Parsing without Question-Answer Pairs

2014 ◽  
Vol 2 ◽  
pp. 377-392 ◽  
Author(s):  
Siva Reddy ◽  
Mirella Lapata ◽  
Mark Steedman
Keyword(s):  
Natural Language ◽  
Large Scale ◽  
Graph Matching ◽  
State Of The Art ◽  
The State ◽  
Semantic Parsing ◽  
Matching Problem ◽  
Weak Supervision ◽  
Benchmark Datasets

In this paper we introduce a novel semantic parsing approach to query Freebase in natural language without requiring manual annotations or question-answer pairs. Our key insight is to represent natural language via semantic graphs whose topology shares many commonalities with Freebase. Given this representation, we conceptualize semantic parsing as a graph matching problem. Our model converts sentences to semantic graphs using CCG and subsequently grounds them to Freebase guided by denotations as a form of weak supervision. Evaluation experiments on a subset of the Free917 and WebQuestions benchmark datasets show our semantic parser improves over the state of the art.

scholarly journals Coupled CycleGAN: Unsupervised Hashing Network for Cross-Modal Retrieval

2019 ◽  
Vol 33 ◽  
pp. 176-183 ◽  
Author(s):  
Chao Li ◽  
Cheng Deng ◽  
Lei Wang ◽  
De Xie ◽  
Xianglong Liu
Keyword(s):  
Large Scale ◽  
State Of The Art ◽  
The State ◽  
Storage Cost ◽  
Common Representation ◽  
Benchmark Datasets ◽  
Query Efficiency ◽  
Hash Codes

In recent years, hashing has attracted more and more attention owing to its superior capacity of low storage cost and high query efficiency in large-scale cross-modal retrieval. Benefiting from deep leaning, continuously compelling results in cross-modal retrieval community have been achieved. However, existing deep cross-modal hashing methods either rely on amounts of labeled information or have no ability to learn an accuracy correlation between different modalities. In this paper, we proposed Unsupervised coupled Cycle generative adversarial Hashing networks (UCH), for cross-modal retrieval, where outer-cycle network is used to learn powerful common representation, and inner-cycle network is explained to generate reliable hash codes. Specifically, our proposed UCH seamlessly couples these two networks with generative adversarial mechanism, which can be optimized simultaneously to learn representation and hash codes. Extensive experiments on three popular benchmark datasets show that the proposed UCH outperforms the state-of-the-art unsupervised cross-modal hashing methods.

scholarly journals Music, Computing, and Health: A Roadmap for the Current and Future Roles of Music Technology for Health Care and Well-Being

2021 ◽  
Vol 4 ◽  
pp. 205920432199770
Author(s):  
Kat R. Agres ◽  
Rebecca S. Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
Andre Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop “Music, Computing, and Health” was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech), and robotics. Following the discussions at the workshop, this article provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the article summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that (1) supports person-centered care and evidence-based treatments, and (2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The article provides a resource for those seeking to engage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

Special Article: Death Anxiety Research: The State of the Art

1997 ◽  
Vol 36 (2) ◽  
pp. 97-120 ◽  
Author(s):  
Robert A. Neimeyer
Keyword(s):  
Death Anxiety ◽  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Death Attitudes ◽  
Development And Validation ◽  
Made In

Despite forty years of research in death attitudes, our understanding of the causes, correlates, and consequences of death related anxieties and fears remains less than comprehensive. However, clear gains have been made in the measurement of death concerns and competencies, leading to the development and validation of a handful of scales whose more extensive use could improve the conceptual yield of research in this area. In this article, I review these promising approaches to the assessment of death attitudes, as well as a number of theoretical, methodological, and practical issues surrounding their use. If investigators devote equal attention to the quality and quantity of future research, there is reason to hope that psychology could make a more profound and systematic contribution to our understanding of the human encounter with death.

scholarly journals Music, Computing, and Health: A roadmap for the current and future roles of music technology for health care and well-being

2021 ◽  
Author(s):  
Kat Rose Agres ◽  
Rebecca Schaefer ◽  
Anja Volk ◽  
Susan van Hooren ◽  
André Holzapfel ◽  
...  
Keyword(s):  
Health Care ◽  
Large Scale ◽  
State Of The Art ◽  
Well Being ◽  
Music Technology ◽  
The State ◽  
Future Research ◽  
Challenges And Opportunities ◽  
Evidence Based Treatments ◽  
Music Information

The fields of music, health, and technology have seen significant interactions in recent years in developing music technology for health care and well-being. In an effort to strengthen the collaboration between the involved disciplines, the workshop ‘Music, Computing, and Health’ was held to discuss best practices and state-of-the-art at the intersection of these areas with researchers from music psychology and neuroscience, music therapy, music information retrieval, music technology, medical technology (medtech) and robotics. Following the discussions at the workshop, this paper provides an overview of the different methods of the involved disciplines and their potential contributions to developing music technology for health and well-being. Furthermore, the paper summarizes the state of the art in music technology that can be applied in various health scenarios and provides a perspective on challenges and opportunities for developing music technology that 1) supports person-centered care and evidence-based treatments, and 2) contributes to developing standardized, large-scale research on music-based interventions in an interdisciplinary manner. The paper provides a resource for those seeking toengage in interdisciplinary research using music-based computational methods to develop technology for health care, and aims to inspire future research directions by evaluating the state of the art with respect to the challenges facing each field.

scholarly journals Achieving Integrated Daylighting and Electric Lighting Systems: Current State of the Art and Needed Research

Energies ◽  
2021 ◽  
Vol 14 (13) ◽  
pp. 3833
Author(s):  
Gregory D. Thomson ◽  
Robert G. Davis ◽  
Luís Fernandes ◽  
Taoning Wang
Keyword(s):  
State Of The Art ◽  
Critical Path ◽  
Research Priorities ◽  
Cost Effective ◽  
The State ◽  
Future Research ◽  
Seamless Integration ◽  
Research Areas ◽  
Research Activities ◽  
Lighting Systems

This paper presents the results of a multi-disciplinary effort to clarify the state of the art and the state of practice, and necessary future research for creating the seamless integration and application of light in buildings, regardless of source, which is purposely modulated to illuminate surfaces and designed in a way that is comfortable, healthy, pleasing, cost-effective, and energy efficient. The authors unwrap the research, tools, and technical gaps preventing the full integration of electric lighting and daylighting with advanced façades through the coordination of lighting and windows research activities. The study and a stakeholder workshop captured current technology readiness levels (TRL), as well as research thrusts and implementation guidelines, and identified research priorities, presenting an analysis of the current landscape of lighting metrics—and which metrics are in the critical path for developing integrated daylighting and electric lighting systems, and their design, installation, and technology guidelines. In addition, the study defined stakeholder coordination, pathways to interoperable technology, and the value of viewing the work of the individual research areas holistically rather than in isolation.

How Do Self-tracking and Quantified Self Promote Health and Well-being: A Systematic Literature Review (Preprint)

2020 ◽  
Author(s):  
Shan Feng ◽  
Matti Mäntymäki ◽  
Amandeep Dhir ◽  
Hannu Salmela
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Longitudinal Research ◽  
State Of The Art ◽  
Well Being ◽  
The State ◽  
Future Research ◽  
Quantified Self ◽  
Research Activities ◽  
Health And Well Being

BACKGROUND Self-tracking technologies are widely used in people’s daily lives and healthcare. Academic research on self-tracking and quantified self has also accumulated rapidly in recent years. Surprisingly, there is a paucity of research that reviews, classifies, and synthesizes the state of the art with respect to self-tracking and quantified self. OBJECTIVE Our objective was to identify the state of the art in self-tracking and quantified self in health and well-being. METHODS We have undertaken a systematic literature review on self-tracking and quantified self in promoting health and well-being. We reviewed altogether 81 empirical research papers. RESULTS Our results show that prior research has focused on three perspectives with respect to self-tracking and quantified self, namely individual user, healthcare professional, and market. We further describe the research themes under each of the three perspectives. Moreover, we classified the future research suggestions given in the literature into five directions: 1) employment of longitudinal research designs, 2) users’ modalities in the use of self-tracking technologies, 3) issues related to data sharing, 4) psychological and behavioral aspects of self-tracking, and 5) self-tracking in clinical use. We further described the specific research areas for each research direction. CONCLUSIONS This systematic literature review contributes to research and practice by assisting future research activities and providing practitioners with a concise view of the state of the art in self-tracking research.

New Concepts for Deployable-Collapsable Structures

1988 ◽  
Vol 3 (1) ◽  
pp. 20-32 ◽  
Author(s):  
Yechiel Rosenfeld ◽  
Robert D. Logcher
Keyword(s):  
State Of The Art ◽  
Space Station ◽  
The State ◽  
Future Research ◽  
Research Needs ◽  
Emergency Shelters ◽  
New Concepts ◽  
Potential Applications

Deployable-collapsable structures have many potential applications, ranging from emergency shelters and facilities, through relocatable semi-permanent structures, to space-station components. A new concept of self-stabilized/self-supported “clicking” structures – featuring stable, stress-free states in both deployed and collapsed forms – shows even greater promise. This article highlights the state-of-the-art in the field of deployable-collapsable structures and discusses their advantages and limitations. A unique concept of “clicking” structures is introduced, and its basic capabilities are presented and discussed. Finally future research needs are mapped out.

scholarly journals Catalytic Micro/Nanomotors: Propulsion Mechanisms, Fabrication, Control, and Applications

2020 ◽  
Author(s):  
Liangxing Hu ◽  
Nan Wang ◽  
Kai Tao
Keyword(s):  
State Of The Art ◽  
Research Field ◽  
The State ◽  
Practical Applications ◽  
The Past ◽  
Naturally Occurring ◽  
Potential Applications ◽  
Mechanical Movement ◽  
Biomolecular Motor ◽  
Made In

Micro-/nanomotors are self-propelled micro-/nanomachines, which are capable of converting the surrounding fuels into mechanical movement or force. Inspired by naturally occurring biomolecular motor proteins, scientists extensively paid great attentions to synthetic micro-/nanomotors. Especially, a number of researchers devoted their efforts onto catalytic micro-/nanomotors. In the past few decades, several advanced developments and excellent contributions have been made in catalytic micro-/nanomotors. The future of this research field can be bright, but some major existing challenges such as biocompatible materials and fuels, smart controlling, and specifically practical applications are still required to be resolved. Therefore, it is essential for us to learn the state of the art of catalytic micro-/nanomotors. In this chapter, the propulsion mechanisms, fabrication methods, controlling strategies, and potential applications of catalytic micro-/nanomotors are presented and summarized.

Towards Interconnected Blockchains

2021 ◽  
Vol 54 (7) ◽  
pp. 1-39
Author(s):  
Ankur Lohachab ◽  
Saurabh Garg ◽  
Byeong Kang ◽  
Muhammad Bilal Amin ◽  
Junmin Lee ◽  
...  
Keyword(s):  
State Of The Art ◽  
The State ◽  
Future Research ◽  
Missing Link ◽  
Layered Architecture ◽  
Blockchain Technology ◽  
Wide Scale ◽  
Effective Development ◽  
Insight Into ◽  
Game Changer

Unprecedented attention towards blockchain technology is serving as a game-changer in fostering the development of blockchain-enabled distinctive frameworks. However, fragmentation unleashed by its underlying concepts hinders different stakeholders from effectively utilizing blockchain-supported services, resulting in the obstruction of its wide-scale adoption. To explore synergies among the isolated frameworks requires comprehensively studying inter-blockchain communication approaches. These approaches broadly come under the umbrella of Blockchain Interoperability (BI) notion, as it can facilitate a novel paradigm of an integrated blockchain ecosystem that connects state-of-the-art disparate blockchains. Currently, there is a lack of studies that comprehensively review BI, which works as a stumbling block in its development. Therefore, this article aims to articulate potential of BI by reviewing it from diverse perspectives. Beginning with a glance of blockchain architecture fundamentals, this article discusses its associated platforms, taxonomy, and consensus mechanisms. Subsequently, it argues about BI’s requirement by exemplifying its potential opportunities and application areas. Concerning BI, an architecture seems to be a missing link. Hence, this article introduces a layered architecture for the effective development of protocols and methods for interoperable blockchains. Furthermore, this article proposes an in-depth BI research taxonomy and provides an insight into the state-of-the-art projects. Finally, it determines possible open challenges and future research in the domain.

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