2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)最新文献_第2页

IFA Panel IFA面板

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/icce-berlin56473.2022.9937130

引用次数: 0

Age Group Classifier of Adults and Children with YOLO-based Deep Learning Pre-Processing Scheme for Embedded Platforms 基于yolo的嵌入式平台深度学习预处理方案的成人和儿童年龄组分类器

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937129

Jie-Min Lin, Wei-Liang Lin, Chih-Peng Fan

引用次数: 2

Cloning Object Detectors 克隆对象检测器

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937123

Arne Aarts, Wil Michiels, Peter Roelse

{"title":"Cloning Object Detectors","authors":"Arne Aarts, Wil Michiels, Peter Roelse","doi":"10.1109/ICCE-Berlin56473.2022.9937123","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937123","url":null,"abstract":"Object detectors based on neural networks are deployed in various consumer electronics products to predict different types of object and their location in images. This paper presents a cloning attack on object detectors, using problem domain samples and oracle access to a trained object detector. As in known cloning attacks on image classifiers, the presented attack uses the oracle access to label the samples. The resulting set of labeled samples, referred to as the surrogate dataset, is then used to train the clone detector. Compared to image classifiers, the surrogate dataset created by an object detector can contain more types of error. The paper describes a way to assess the quality of the surrogate dataset. The cloning attack was implemented, and experiments were conducted with a CenterNet and a RetinaNet object detector, and the Oxford-IIIT Pet, Tsinghua-Tencent 100K, and WIDER FACE datasets. The results show that object detectors can be cloned successfully, even if the quality of the surrogate dataset is relatively low. However, in case of a low-quality surrogate dataset, the quality of the clone detector was only high if it used the same architecture as the target detector.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127252950","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

Augmented Reality for the Visually Impaired: Navigation Aid and Scene Semantics for Indoor Use Cases 增强现实为视障人士:导航辅助和场景语义为室内用例

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937109

Kiavash Fathi, Alireza Darvishy, H. W. V. D. Venn

{"title":"Augmented Reality for the Visually Impaired: Navigation Aid and Scene Semantics for Indoor Use Cases","authors":"Kiavash Fathi, Alireza Darvishy, H. W. V. D. Venn","doi":"10.1109/ICCE-Berlin56473.2022.9937109","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937109","url":null,"abstract":"With the Augmented Reality (AR) technology avail-able today, it is quite feasible to accommodate the needs of the visually impaired (VI) via AR. In this paper, a framework is introduced to help the VI navigate and explore unfamiliar indoor environments. In contrast to commonly used AR applications focused on visual augmentation, the proposed framework em-ploys auditory three-dimensional feedback (A3DF) for guiding the VI. Concretely, the current framework reads the pose of the user and helps the VI reach a target location via A3DF. The A3DF is implemented with the Unity game engine to provide the optimal user experience. After acquiring the environment mesh (EM), the optimal path from the user's location to the target location is calculated, while avoiding obstacles using Unity's navigation system. Moreover, the user is provided with semantic information about the unknown environment whilst exploring via auditory information. This framework is implemented on Microsoft HoloLens 2 and tested at an office environment with different locations of interest. Additionally, this framework potentially accelerates the learning curve since the user can be trained using Unity's simulation environment. Lastly, given different design parameters of the framework, the proposed method can be fine-tuned to fit the specific needs of the individual VI.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121097297","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: 1

A Self-Adaptive Wireless Network Service Embedding through SVM and MTA 基于SVM和MTA的自适应无线网络业务嵌入

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937114

Sujitha Venkatapathy, In-ho Ra, Han-Gue Jo

{"title":"A Self-Adaptive Wireless Network Service Embedding through SVM and MTA","authors":"Sujitha Venkatapathy, In-ho Ra, Han-Gue Jo","doi":"10.1109/ICCE-Berlin56473.2022.9937114","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937114","url":null,"abstract":"Network virtualization (NV) provides a feasible mechanism for operating numerous diverse virtual networks concurrently on a shared physical infrastructure network. The key issue in NV is virtual network embedding (VNE), which efficiently and effectively maps virtualized networks (VNs) with multiple resource needs for nodes and links to the underlying physical network with limited resources. A multiple topological attributes (MTA) based embedding algorithm is proposed to address the issue of providing different virtual request ser-vices delivered in a wireless network environment, leading to an unstable utilization of physical network resources and a low access rate for subsequent requests. It is emphasized that machine learning (ML) should be integrated into the process of network slicing in order to properly classify the received wireless virtual request. In this work, virtual request services are categorized automatically using support vector machine (SVM), and resources are allocated accordingly. The proposed technique organizes nodes in the embedding process according to their priority based on multiple topological properties of virtual and physical networks. According to the findings of the simulations, the SVM-MTA algorithm enhances both the acceptance rate and the resource efficiency of the network.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121464175","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

Truncated Edge-based Color Constancy 截断边缘为基础的颜色常数

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937133

S. Bianco, M. Buzzelli

引用次数: 0

A low-cost telerehabilitation and telemonitoring system for people with Parkinson's disease: the architecture 帕金森氏症患者的低成本远程康复和远程监控系统:架构

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937125

Antonia Antoniello, Antonio Sabatelli, Simone Valenti, Maria Di Tillo, L. Pepa, L. Spalazzi, E. Andrenelli, M. Capecci, M. Ceravolo

引用次数: 0

FastShare: push-based file sharing approach on wireless multi device environment FastShare:无线多设备环境下基于推送的文件共享方法

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937112

Seung-Bum Lee, Lukasz Dudek, Piotr Wojdyna

引用次数: 0

Secure, Interoperable, End-to-End Industry 4.0 Service Platform for Lot-Size-One Manufacturing 面向批量制造的安全、可互操作、端到端工业4.0服务平台

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937117

S. K. Datta

引用次数: 0

A Temporal Scores Network for Basketball Foul Classification 一种用于篮球犯规分类的时间分数网络

2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin) Pub Date : 2022-09-02 DOI: 10.1109/ICCE-Berlin56473.2022.9937110

Po-Yung Chou, Cheng-Hung Lin, W. Kao, Yi-Fang Lee, Chen-Chien James Hsu

{"title":"A Temporal Scores Network for Basketball Foul Classification","authors":"Po-Yung Chou, Cheng-Hung Lin, W. Kao, Yi-Fang Lee, Chen-Chien James Hsu","doi":"10.1109/ICCE-Berlin56473.2022.9937110","DOIUrl":"https://doi.org/10.1109/ICCE-Berlin56473.2022.9937110","url":null,"abstract":"Deep learning has developed rapidly in recent years, not only in image recognition, but now also in action recognition. The research on action recognition started with 3D-CNN, which has achieved good results on many tasks. But most action recognition networks have room for improvement in fine-grained action recognition. The reason is that there is only a slight difference between categories in the fine-grained classification task. e.g. basketball fouls only occur in a few frames and a small region. This situation may lead to some errors with 3D-CNN methods because these models tend to merge all temporal features. To identify these fouls, it is necessary to strengthen the detection of small periods. In this paper, we propose a temporal score network suitable for existing networks, including 3D-Resnet50, 3D-wide-Resnet50, $mathbf{R}mathbf{(}mathbf{2}mathbf{+}mathbf{1}mathbf{)}$ D-Resnet50, and I3D-50 to improve the accuracy of fine-grained action recognition. The experimental results show that the accuracy of various models is improved by 3.85% to 6% after adding the proposed network. Since there is no relevant public dataset, we collect the data ourselves to create a basketball foul dataset.","PeriodicalId":138931,"journal":{"name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125361480","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