{"title":"Guest Editorial of the Special Section on Consumer Electronics in the Era of the Internet of Everything (IoE) and Massive Data","authors":"Hui Xia;Feng Hong;Feng Li;Zhipeng Cai;Jiwei Zhang;Rui Chen","doi":"10.1109/TCE.2024.3416153","DOIUrl":"https://doi.org/10.1109/TCE.2024.3416153","url":null,"abstract":"","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"6339-6342"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10799006","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821152","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Zhihan Lyu;Jaime Lloret;Houbing Song;Wojciech Mazurczyk;Huihui Wang;James J. Park
{"title":"Metaverse and Digital Twins for Consumer Electronics","authors":"Zhihan Lyu;Jaime Lloret;Houbing Song;Wojciech Mazurczyk;Huihui Wang;James J. Park","doi":"10.1109/TCE.2024.3411469","DOIUrl":"https://doi.org/10.1109/TCE.2024.3411469","url":null,"abstract":"","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5662-5666"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Guest Editorial of the Special Section on Secure Artificial Intelligence in 6G Consumer Electronics","authors":"Shalli Rani;Celestine Iwendi;Syed Hassan Shah;Ali Kashif Bashir","doi":"10.1109/TCE.2024.3447072","DOIUrl":"https://doi.org/10.1109/TCE.2024.3447072","url":null,"abstract":"Unmanned aerial vehicles (UAVs) with AI-enabled logistics are gradually demonstrating their special benefits for upcoming smart cities. However, current research on logistics UAV path planning fails to take into account the limits on UAV energy consumption, customer time windows, and the effects of wind direction and speed at the same time. As a result, we study how wind direction and speed affect UAV flight states, determine relevant parameters and how wind conditions affect them, and explore the logistics problem of UAV path planning that simultaneously takes into account the constraints on UAV energy consumption, customer time windows, and wind conditions [1]. The ubiquitous monitoring and intelligent control capabilities of the Internet of Things (IoT) are mainly dependent on inexpensive wireless sensors with low energy consumption. Nevertheless, remote terminals that are not covered by wireless can be connected to IoT networks using unmanned aerial vehicles (UAVs). With the help of this solution, IoT networks may reach a wider audience and have more options for control and monitoring. Notwithstanding this advantage, the UAV’s onboard battery has a modest capacity [2].","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5698-5701"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"IEEE Consumer Technology Society Officers and Committee Chairs","authors":"","doi":"10.1109/TCE.2024.3493278","DOIUrl":"https://doi.org/10.1109/TCE.2024.3493278","url":null,"abstract":"","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"C4-C4"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10798998","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142821166","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Wei Wang;Shahid Mumtaz;Joe Xiang;Kai Fang;Tingting Wang
{"title":"Guest Editorial of the Special Section on Multimodal Data-Driven Decision-Making for Next-Generation Consumer Electronics","authors":"Wei Wang;Shahid Mumtaz;Joe Xiang;Kai Fang;Tingting Wang","doi":"10.1109/TCE.2024.3447281","DOIUrl":"https://doi.org/10.1109/TCE.2024.3447281","url":null,"abstract":"With the progress of science and technology, consumer electronics have become ubiquitous in everyday life. Consumer electronics offer convenient functions and enriching experiences, enhancing people’s lives with convenience and variety. Devices like smartphones provide communication, mobile payment options, and entertainment through games, making them indispensable in modern daily routines. The diverse user data gathered from consumer electronics usage is invaluable for informing decision-making and advancing next-generation products in the consumer electronics industry.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5979-5982"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825770","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Shamim Hossain;Diana P. Tobón;Josu Bilbao;Abdulmotaleb El Saddik
{"title":"Guest Editorial of the Special Section on Digital Twin and Metaverse for Consumer Health (MCH)","authors":"M. Shamim Hossain;Diana P. Tobón;Josu Bilbao;Abdulmotaleb El Saddik","doi":"10.1109/TCE.2024.3415493","DOIUrl":"https://doi.org/10.1109/TCE.2024.3415493","url":null,"abstract":"","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 3","pages":"5628-5630"},"PeriodicalIF":4.3,"publicationDate":"2024-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10798983","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142825820","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Learned Image Compression With Adaptive Channel and Window-Based Spatial Entropy Models","authors":"Jian Wang;Qiang Ling","doi":"10.1109/TCE.2024.3485179","DOIUrl":"https://doi.org/10.1109/TCE.2024.3485179","url":null,"abstract":"Image compression is essential for reducing the cost to save or transmit images. Recently, learned image compression methods have achieved superior compression performance compared to traditional image compression standards. Many learned image compression methods utilize convolutional entropy models to remove local spatial and channel redundancy in the latent representation. Some recent methods incorporate transformer to further eliminate non-local redundancy. However, these methods employ the same transformer structure to model both spatial and channel correlations, thereby failing to take advantage of the difference between the spatial characteristics and the channel characteristics of the latent representation. To resolve this issue, we propose novel adaptive channel and window-based spatial entropy models. The adaptive channel entropy model, which consists of the channel transformer module and the channel excitation module, dynamically fuses and excites channel information to implicitly predict channel context. More specifically, we first establish the relationship between the decoded channels and the channels to be encoded. Based on that channel relationship, the channel transformer module adaptively updates the predicted channel context. Finally, the channel excitation module is employed to emphasize informative channel context and suppress irrelevant channel context. Furthermore, we introduce a window-based spatial entropy model to capture global semantic information within the window and generate the spatial context of non-anchor features based on the decoded anchor features. The spatial context and channel context are combined to predict the Gaussian parameters of the latent representation. Experimental results demonstrate that our method outperforms some state-of-the-art image compression methods on Kodak, CLIC and Tecnick datasets.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 4","pages":"6430-6441"},"PeriodicalIF":4.3,"publicationDate":"2024-10-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918515","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Scalable Matrix Decomposition-Based Less-Complex HEVC Transform Architecture","authors":"Subiman Chatterjee;Dinesh Bhardwaj;Binod Prasad;Kishor Sarawadekar","doi":"10.1109/TCE.2024.3483949","DOIUrl":"https://doi.org/10.1109/TCE.2024.3483949","url":null,"abstract":"High Efficiency Video Coding (HEVC) is widely used in ultra-high definition (UHD) video applications for its high compression ability, and Discrete Cosine Transform (DCT) is an indispensable module in it. With increasing video resolution, DCT sizes and hardware complexity increase continuously, which poses challenges to the system designers, especially when real-time operations are required. Therefore, the low-complexity approximation of the DCT is paramount in applications demanding real-time computation. To meet this requirement, this article proposes a new DCT architecture for HEVC based on the matrix decomposition method. Each coefficient of the resultant matrices is approximated in such a way that all the multiplications can be realized by shift and add operations. The method reduces the data path width and number of cascaded adders as the matrices use small coefficients compared to the integer DCT of HEVC. The proposed approach designs all transform sizes and maintains the scalability features of DCT used in HEVC. At the cost of a minor drop in PSNR, the proposed method requires 74% less area-delay product in comparison to the HEVC reference algorithm. It is capable of processing at least 30 frames/s of UHD video when implemented on the FPGA of a 28 nm technology node.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":"70 4","pages":"6691-6699"},"PeriodicalIF":4.3,"publicationDate":"2024-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142918310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}