Virtual Reality Intelligent Hardware最新文献_第7页

Publisher’s Note: Hardware—A New Open Access Journal 出版商注:硬件——一种新的开放获取期刊

Virtual Reality Intelligent Hardware Pub Date : 2023-03-30 DOI: 10.3390/hardware1010002

Liliane Auwerter

引用次数: 0

A Transformer Architecture based mutual attention for Image Anomaly Detection 一种基于互感器结构的图像异常检测相互注意

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.07.006

Mengting Zhang, Xiuxia Tian

引用次数: 0

View Interpolation Networks for Reproducing Material Appearance of Specular Objects 再现镜面反射物体材料外观的视图插值网络

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.11.001

Chihiro Hoshizawa, Takashi Komuro

引用次数: 0

Metaverse Virtual Social Center for the Elderly Communication During the Social Distancing 虚拟虚拟社交中心在老年人社交距离中的应用

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.07.007

Hui Liang, Jiupeng Li, Yi Wang, Junjun Pan, Yazhou Zhang, Xiaohang Dong

引用次数: 3

Unrolling Rain-guided Detail Recovery Network for Single Image Deraining 推出用于单图像降阶的雨水引导细节恢复网络

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.06.002

Kailong Lin, Shaowei Zhang, Yu Luo, Jie Ling

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引用次数: 1

IAACS: Image Aesthetic Assessment Through Color Composition And Space Formation IAACS：从色彩构成和空间构成看图像的审美评价

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.06.006

Bailin Yang , Changrui zhu , Frederick W.B. Li , Tianxiang Wei , Xiaohui Liang , Qingxu Wang

{"title":"IAACS: Image Aesthetic Assessment Through Color Composition And Space Formation","authors":"Bailin Yang , Changrui zhu , Frederick W.B. Li , Tianxiang Wei , Xiaohui Liang , Qingxu Wang","doi":"10.1016/j.vrih.2022.06.006","DOIUrl":"https://doi.org/10.1016/j.vrih.2022.06.006","url":null,"abstract":"<div><p>Judging how an image is visually appealing is a complicated and subjective task. This highly motivates having a machine learning model to automatically evaluate image aesthetic by matching the aesthetics of general public. Although deep learning methods have been successfully learning good visual features from images, correctly assessing image aesthetic quality is still challenging for deep learning. To tackle this, we propose a novel multi-view convolutional neural network to assess image aesthetic by analyzing image color composition and space formation (IAACS). Specifically, from different views of an image, including its key color components with their contributions, the image space formation and the image itself, our network extracts their corresponding features through our proposed feature extraction module (FET) and the ImageNet weight-based classification model. By fusing the extracted features, our network produces an accurate prediction score distribution of image aesthetic. Experiment results have shown that we have achieved a superior performance.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"5 1","pages":"Pages 42-56"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49830410","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model COVAD:使用基于自注意的深度学习模型的面向内容的视频异常检测

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.06.001

Wenhao Shao , Praboda Rajapaksha , Yanyan Wei , Dun Li , Noel Crespi , Zhigang Luo

{"title":"COVAD: Content-Oriented Video Anomaly Detection using a Self-Attention based Deep Learning Model","authors":"Wenhao Shao , Praboda Rajapaksha , Yanyan Wei , Dun Li , Noel Crespi , Zhigang Luo","doi":"10.1016/j.vrih.2022.06.001","DOIUrl":"https://doi.org/10.1016/j.vrih.2022.06.001","url":null,"abstract":"<div><h3>Background</h3><p>Video anomaly detection has always been a hot topic and attracting an increasing amount of attention. Much of the existing methods on video anomaly detection depend on processing the entire video rather than considering only the significant context. This paper proposes a novel video anomaly detection method named COVAD, which mainly focuses on the region of interest in the video instead of the entire video. Our proposed COVAD method is based on an auto-encoded convolutional neural network and coordinated attention mechanism, which can effectively capture meaningful objects in the video and dependencies between different objects. Relying on the existing memory-guided video frame prediction network, our algorithm can more effectively predict the future motion and appearance of objects in the video. Our proposed algorithm obtained better experimental results on multiple data sets and outperformed the baseline models considered in our analysis. At the same time we improve a visual test that can provide pixel-level anomaly explanations.</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"5 1","pages":"Pages 24-41"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49830407","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A Point Cloud Upsampling Adversarial Network Based on Residual Multi-Scale Off-Set Attention 基于残差多尺度偏移注意力的点云上采样对抗网络

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.08.016

Bin Shen , Li Li , Xinrong Hu , Shengyi Guo , Jin Huang , Zhiyao Liang

引用次数: 2

Metaverse Virtual Social Center for the Elderly Communication During the Social Distancing 虚拟虚拟社交中心在老年人社交距离中的应用

Virtual Reality Intelligent Hardware Pub Date : 2023-02-01 DOI: 10.1016/j.vrih.2022.07.007

Hui Liang , Jiupeng Li , Yi Wang , Junjun Pan , Yazhou Zhang , Xiaohang Dong

{"title":"Metaverse Virtual Social Center for the Elderly Communication During the Social Distancing","authors":"Hui Liang , Jiupeng Li , Yi Wang , Junjun Pan , Yazhou Zhang , Xiaohang Dong","doi":"10.1016/j.vrih.2022.07.007","DOIUrl":"https://doi.org/10.1016/j.vrih.2022.07.007","url":null,"abstract":"<div><p>The lack of social activities in the elderly for physical reasons can make them feel lonely and prone to depression. With the spread of COVID-19, it is difficult for the elderly to conduct the few social activities stably, causing the elderly to be more lonely. The metaverse is a virtual world that mirrors reality. It allows the elderly to get rid of the constraints of reality and perform social activities stably and continuously, providing new ideas for alleviating the loneliness of the elderly. Through the analysis of the needs of the elderly, a virtual social center framework for the elderly was proposed in this study. Besides, a prototype system was designed according to the framework. The elderly can socialize in virtual reality with metaverse-related technologies and human-computer interaction tools. Additionally, a test was jointly conducted with the chief physician of the geriatric rehabilitation department of a tertiary hospital. The results demonstrated that the mental state of the elderly who had used the virtual social center was significantly better than that of the elderly who had not used it. Thus, virtual social centers alleviated loneliness and depression in older adults. Virtual social centers can help the elderly relieve loneliness and depression when the global epidemic is normalizing and the population is aging. Hence, they have promotion value</p></div>","PeriodicalId":33538,"journal":{"name":"Virtual Reality Intelligent Hardware","volume":"5 1","pages":"Pages 68-80"},"PeriodicalIF":0.0,"publicationDate":"2023-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49868173","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 5

Building the metaverse using digital twins at all scales,states, and relations 使用各种规模、状态和关系的数字双胞胎构建元世界

Virtual Reality Intelligent Hardware Pub Date : 2022-12-01 DOI: 10.1016/j.vrih.2022.06.005

Zhihan Lv , Shuxuan Xie , Yuxi Li , M. Shamim Hossain , Abdulmotaleb El Saddik

引用次数: 23