{"title":"消费电子产品的多媒体传感与计算》特刊客座编辑","authors":"Mingbo Zhao;Sheng Li;Xiaojie Jin;Zhiwei Gao","doi":"10.1109/TCE.2024.3380017","DOIUrl":null,"url":null,"abstract":"Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics use digital technologies to enhance performance and well-being in realworld applications, such as traffic surveillance elements, online retailing, automatic driving systems, fashion and apparel industry, et al., where the information in these applications usually comes through multimedia data. For example, the videos in traffic surveillance contain both acoustic and visual signals; the online product in online retailing app or website include both image, video, text and even acoustic information; the sensory perceptions typically used in automatic driving system may need extensive multi-media data from multichannel inputs in visual, auditory and motor pathways. Thereby, how to characterize the property of multimedia data so that it can be managed to enable different learning tasks of various applications in consumer electronics, is of great importance. This requires researchers to develop robust models to classify, retrieve and understand multi-media information in these real-world applications.","PeriodicalId":13208,"journal":{"name":"IEEE Transactions on Consumer Electronics","volume":null,"pages":null},"PeriodicalIF":4.3000,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10659251","citationCount":"0","resultStr":"{\"title\":\"Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics\",\"authors\":\"Mingbo Zhao;Sheng Li;Xiaojie Jin;Zhiwei Gao\",\"doi\":\"10.1109/TCE.2024.3380017\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics use digital technologies to enhance performance and well-being in realworld applications, such as traffic surveillance elements, online retailing, automatic driving systems, fashion and apparel industry, et al., where the information in these applications usually comes through multimedia data. For example, the videos in traffic surveillance contain both acoustic and visual signals; the online product in online retailing app or website include both image, video, text and even acoustic information; the sensory perceptions typically used in automatic driving system may need extensive multi-media data from multichannel inputs in visual, auditory and motor pathways. Thereby, how to characterize the property of multimedia data so that it can be managed to enable different learning tasks of various applications in consumer electronics, is of great importance. This requires researchers to develop robust models to classify, retrieve and understand multi-media information in these real-world applications.\",\"PeriodicalId\":13208,\"journal\":{\"name\":\"IEEE Transactions on Consumer Electronics\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":4.3000,\"publicationDate\":\"2024-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10659251\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"IEEE Transactions on Consumer Electronics\",\"FirstCategoryId\":\"94\",\"ListUrlMain\":\"https://ieeexplore.ieee.org/document/10659251/\",\"RegionNum\":2,\"RegionCategory\":\"计算机科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENGINEERING, ELECTRICAL & ELECTRONIC\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Consumer Electronics","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10659251/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
Guest Editorial of the Special Section on Multimedia Sensing and Computing for Consumer Electronics
Consumer electronics are electronic equipment intended for everyday use, and they constitute a part of the wider electronics industry including devices and services used for entertainment, communications and recreation. In practice, consumer electronics use digital technologies to enhance performance and well-being in realworld applications, such as traffic surveillance elements, online retailing, automatic driving systems, fashion and apparel industry, et al., where the information in these applications usually comes through multimedia data. For example, the videos in traffic surveillance contain both acoustic and visual signals; the online product in online retailing app or website include both image, video, text and even acoustic information; the sensory perceptions typically used in automatic driving system may need extensive multi-media data from multichannel inputs in visual, auditory and motor pathways. Thereby, how to characterize the property of multimedia data so that it can be managed to enable different learning tasks of various applications in consumer electronics, is of great importance. This requires researchers to develop robust models to classify, retrieve and understand multi-media information in these real-world applications.
期刊介绍:
The main focus for the IEEE Transactions on Consumer Electronics is the engineering and research aspects of the theory, design, construction, manufacture or end use of mass market electronics, systems, software and services for consumers.