Pub Date : 2020-07-01DOI: 10.1109/mmul.2020.3017877
Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El Saddik
The papers in this special section focus on the topic of urban multimedia computing. Presents emerging methods in multimedia computing for urban analysis and applications. Urban computing is a process of acquisition, integration, analysis, and understanding of the urban data generated from various sources, e.g., sensors, devices, and social media, for various applications. Multimedia computing plays a vital role in urban computing due to the huge presence of multimodal sensors, heterogeneous multimedia data from the social media, multimedia interaction between human and cities. Recently, benefiting from both the easy availability of urban multimedia big data and the rapid development of deep learning technologies, some novel methods in multimedia computing have emerged as a promising tool for solving new urban computing tasks, such as quantifying the urban perception and estimating the demographic makeup of neighborhoods. Meanwhile, these advances have led to a new research direction: urban multimedia computing at the intersection between multimedia computing and urban computing. In order to effectively utilize multimedia computing methods for modeling the urban multimedia data, we should consider relevant theories from other fields. Therefore, there’s a growing demand for developing and designing new multimedia computing methods for urban data analysis and applications.
{"title":"Urban Multimedia Computing: Emerging Methods in Multimedia Computing for Urban Data Analysis and Applications","authors":"Weiqing Min, Yonghong Tian, Zi Huang, Wen-Huang Cheng, Abdulmotaleb El Saddik","doi":"10.1109/mmul.2020.3017877","DOIUrl":"https://doi.org/10.1109/mmul.2020.3017877","url":null,"abstract":"The papers in this special section focus on the topic of urban multimedia computing. Presents emerging methods in multimedia computing for urban analysis and applications. Urban computing is a process of acquisition, integration, analysis, and understanding of the urban data generated from various sources, e.g., sensors, devices, and social media, for various applications. Multimedia computing plays a vital role in urban computing due to the huge presence of multimodal sensors, heterogeneous multimedia data from the social media, multimedia interaction between human and cities. Recently, benefiting from both the easy availability of urban multimedia big data and the rapid development of deep learning technologies, some novel methods in multimedia computing have emerged as a promising tool for solving new urban computing tasks, such as quantifying the urban perception and estimating the demographic makeup of neighborhoods. Meanwhile, these advances have led to a new research direction: urban multimedia computing at the intersection between multimedia computing and urban computing. In order to effectively utilize multimedia computing methods for modeling the urban multimedia data, we should consider relevant theories from other fields. Therefore, there’s a growing demand for developing and designing new multimedia computing methods for urban data analysis and applications.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130931662","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}
Pub Date : 2020-07-01DOI: 10.1109/mmul.2020.3017875
Susanne CJ Boll
& THE GLOBAL SPREAD of a vicious disease in our interconnected world is threatening the health and livelihoods of millions of people. Beyond the immediate effects of the disease on individuals, families, and communities, we can anticipate the long-term impact on whole societies and economies. Our lives are changing not only because of the coronavirus pandemic, but also because of climate change and environmental damage. These are the defining crises of our time, and they are shining a harsh spotlight on the intractable socioeconomic inequalities long plaguing the world’s people. We cannot meet these challenges only on a local or national scale. Global crises require a global response.
{"title":"Shaping Our Common Digital Future","authors":"Susanne CJ Boll","doi":"10.1109/mmul.2020.3017875","DOIUrl":"https://doi.org/10.1109/mmul.2020.3017875","url":null,"abstract":"& THE GLOBAL SPREAD of a vicious disease in our interconnected world is threatening the health and livelihoods of millions of people. Beyond the immediate effects of the disease on individuals, families, and communities, we can anticipate the long-term impact on whole societies and economies. Our lives are changing not only because of the coronavirus pandemic, but also because of climate change and environmental damage. These are the defining crises of our time, and they are shining a harsh spotlight on the intractable socioeconomic inequalities long plaguing the world’s people. We cannot meet these challenges only on a local or national scale. Global crises require a global response.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"379 2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2020-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122435112","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}
Pub Date : 2019-10-01DOI: 10.1109/mmul.2019.2951350
Shu‐Ching Chen
Presents the introductory editorial for this issue of the publication. Also reports on the impact factor associated with this publication.
介绍本期出版物的导论社论。还报告了与本出版物相关的影响因子。
{"title":"Impact and Award","authors":"Shu‐Ching Chen","doi":"10.1109/mmul.2019.2951350","DOIUrl":"https://doi.org/10.1109/mmul.2019.2951350","url":null,"abstract":"Presents the introductory editorial for this issue of the publication. Also reports on the impact factor associated with this publication.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127800409","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}
Pub Date : 2018-10-01DOI: 10.1109/MMUL.2018.2889382
Shu‐Ching Chen
In today's digital world, with the exponential growth of data, new approaches to aggregate and analyze data are bringing considerable benefits to many fields, such as healthcare, Internet of Things, social media, business, and public policy. Data science (DS) is considered as an interdisciplinary field that covers how data is prepared, analyzed, interpreted, modeled, and presented. It is a combination of data analytics, machine learning, math, and statistics, as well as domain and business knowledge. One of the main goals of DS is to leverage Big Data technologies with an adept analysis to obtain as much information as possible from the data and facilitate the decision-making process. Many research areas such as medicine and astrophysics have heavily utilized DS, usually focusing on structured scientific data. Using DS, the scientist can obtain a better understanding of the data and conduct a more precise analysis. In addition, DS has become a crucial foundation for artificial intelligence based on the right mix of machine learning and domain knowledge and continued to impact all aspects of life, through the discovery of new knowledge and hidden meaning within the data.
{"title":"Multimedia for Data Science","authors":"Shu‐Ching Chen","doi":"10.1109/MMUL.2018.2889382","DOIUrl":"https://doi.org/10.1109/MMUL.2018.2889382","url":null,"abstract":"In today's digital world, with the exponential growth of data, new approaches to aggregate and analyze data are bringing considerable benefits to many fields, such as healthcare, Internet of Things, social media, business, and public policy. Data science (DS) is considered as an interdisciplinary field that covers how data is prepared, analyzed, interpreted, modeled, and presented. It is a combination of data analytics, machine learning, math, and statistics, as well as domain and business knowledge. One of the main goals of DS is to leverage Big Data technologies with an adept analysis to obtain as much information as possible from the data and facilitate the decision-making process. Many research areas such as medicine and astrophysics have heavily utilized DS, usually focusing on structured scientific data. Using DS, the scientist can obtain a better understanding of the data and conduct a more precise analysis. In addition, DS has become a crucial foundation for artificial intelligence based on the right mix of machine learning and domain knowledge and continued to impact all aspects of life, through the discovery of new knowledge and hidden meaning within the data.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"210 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132267221","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}
Pub Date : 2018-08-03DOI: 10.1109/MMUL.2018.023121159
Shu‐Ching Chen
{"title":"Best Paper and Best Department Article Recognition","authors":"Shu‐Ching Chen","doi":"10.1109/MMUL.2018.023121159","DOIUrl":"https://doi.org/10.1109/MMUL.2018.023121159","url":null,"abstract":"","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123670733","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}
Pub Date : 2018-02-01DOI: 10.1109/MMUL.2018.011921231
Pablo César, Vivek K. Singh, R. Jain, N. Sebe, Nuria Oliver
The objective of this special issue is to revisit how sensor technology is transforming the way context and human behavior is understood, enabling personal and enriched media experiences.
{"title":"New Signals in Multimedia Systems and Applications","authors":"Pablo César, Vivek K. Singh, R. Jain, N. Sebe, Nuria Oliver","doi":"10.1109/MMUL.2018.011921231","DOIUrl":"https://doi.org/10.1109/MMUL.2018.011921231","url":null,"abstract":"The objective of this special issue is to revisit how sensor technology is transforming the way context and human behavior is understood, enabling personal and enriched media experiences.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114966334","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}
Pub Date : 2017-10-01DOI: 10.1109/MMUL.2017.4031316
Y. Rui
In his final EIC Message, Yong Rui looks at how the field of multimedia has changed over the years. He also introduces the new Editor in Chief, whose term will start in 2018.
{"title":"Changes on the Horizon for the Multimedia Community","authors":"Y. Rui","doi":"10.1109/MMUL.2017.4031316","DOIUrl":"https://doi.org/10.1109/MMUL.2017.4031316","url":null,"abstract":"In his final EIC Message, Yong Rui looks at how the field of multimedia has changed over the years. He also introduces the new Editor in Chief, whose term will start in 2018.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124561272","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}
Pub Date : 2017-10-01DOI: 10.1109/MMUL.2017.4031321
Qun Jin, Yong Xiang, Guozi Sun, Yao Liu, Chinchen Chang
With the rapid popularity of social network applications and advanced digital devices, we have witnessed the explosive growth of multimedia big data in terms of both scale and variety over the last few years. Yet at the same time, security issues related to multimedia big data have arisen. An urgent demand has emerged for novel technologies that deal with copyright protection, multimedia forgery detection, and cybersecurity—especially for cyber-enabled multimedia applications. This special issue brings together research efforts in cybersecurity for cyber-enabled multimedia applications.
{"title":"Cybersecurity for Cyber-Enabled Multimedia Applications","authors":"Qun Jin, Yong Xiang, Guozi Sun, Yao Liu, Chinchen Chang","doi":"10.1109/MMUL.2017.4031321","DOIUrl":"https://doi.org/10.1109/MMUL.2017.4031321","url":null,"abstract":"With the rapid popularity of social network applications and advanced digital devices, we have witnessed the explosive growth of multimedia big data in terms of both scale and variety over the last few years. Yet at the same time, security issues related to multimedia big data have arisen. An urgent demand has emerged for novel technologies that deal with copyright protection, multimedia forgery detection, and cybersecurity—especially for cyber-enabled multimedia applications. This special issue brings together research efforts in cybersecurity for cyber-enabled multimedia applications.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126303683","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}
Pub Date : 2017-10-01DOI: 10.1109/MMUL.2017.4031310
Aisling Kelliher
Learn about the ACM Creativity and Cognition (ACM CC) conference that took place in Singapore in June 2017, featuring technical papers, artwork, workshops, technology demonstrations, and visual pictorials. Now in its 11th year, CC continued its tradition of bringing together researchers, practitioners, and educators from diverse disciplines for a jam-packed program focused on human creativity from multiple perspectives.
{"title":"ACM Creativity and Cognition Conference 2017","authors":"Aisling Kelliher","doi":"10.1109/MMUL.2017.4031310","DOIUrl":"https://doi.org/10.1109/MMUL.2017.4031310","url":null,"abstract":"Learn about the ACM Creativity and Cognition (ACM CC) conference that took place in Singapore in June 2017, featuring technical papers, artwork, workshops, technology demonstrations, and visual pictorials. Now in its 11th year, CC continued its tradition of bringing together researchers, practitioners, and educators from diverse disciplines for a jam-packed program focused on human creativity from multiple perspectives.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133126634","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}
Pub Date : 2017-08-01DOI: 10.1109/MMUL.2017.3051513
Rene Kaiser, Britta Meixner, Joscha Jäger
Enabling interactive access to multimedia content and evaluating content-consumption behaviors and experiences involve several different research areas, which are covered at many different conferences. For four years, the Workshop on Interactive Content Consumption (WSICC) series offered a forum for combining interdisciplinary, comprehensive views, inspiring new discussions related to interactive multimedia. Here, the authors reflect on the outcome of the series.
{"title":"Reflecting on the Workshop on Interactive Content Consumption (WSICC) Series","authors":"Rene Kaiser, Britta Meixner, Joscha Jäger","doi":"10.1109/MMUL.2017.3051513","DOIUrl":"https://doi.org/10.1109/MMUL.2017.3051513","url":null,"abstract":"Enabling interactive access to multimedia content and evaluating content-consumption behaviors and experiences involve several different research areas, which are covered at many different conferences. For four years, the Workshop on Interactive Content Consumption (WSICC) series offered a forum for combining interdisciplinary, comprehensive views, inspiring new discussions related to interactive multimedia. Here, the authors reflect on the outcome of the series.","PeriodicalId":290893,"journal":{"name":"IEEE Multim.","volume":"148 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116593356","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}
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