Proceedings - 2015 IEEE International Conference on Multimedia Big Data, BigMM 2015

Country

United States

Universities and research institutions in United States
Media Ranking in United States

Subject Area and Category

Computer Science
- Information Systems

Engineering

Publisher

H-Index

Publication type

Conferences and Proceedings

ISSN

Coverage

Information

Homepage

Scope

Welcome to the Proceedings of the First IEEE International Conference on Multimedia Big Data (BigMM 2015), Beijing, China, from April 20 to 22, 2015, hosted by Peking University. Multimedia big data has emerged as the next “must have” competency in the society, covering from everyone's experiences to everything happening in the world. As an active and inter-disciplinary research field, multimedia big data also presents challenges and opportunities for multimedia computing in the big data era. BigMM 2015 is to foster the growth of a new research community, as an international forum for researchers and practitioners in academia and industry to present research that advances the state of the art and practice of Multimedia Big Data, identifies the emerging research topics, and defines the future of the field. This year, the conference received paper submissions from 23 countries. Every submission was assigned to at least three experts from the technical program committee to review. Due to the large amount of top-quality submissions, regular paper acceptance was very competitive (with the acceptance rate of 22.47%). In addition, these proceedings feature high-quality short papers, poster papers, workshop papers, BigMM Summit papers, and BigMM Challenge papers. All of these papers provide novel ideas, new results, and state-of-the-art techniques in the field. We are honored to have several of the world's leading experts in the field join us as distinguished keynote speakers. Altogether, we are proud to be able to present you a rich program that contains a variety of top-notch research.

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SJR

The SJR is a size-independent prestige indicator that ranks journals by their 'average prestige per article'. It is based on the idea that 'all citations are not created equal'. SJR is a measure of scientific influence of journals that accounts for both the number of citations received by a journal and the importance or prestige of the journals where such citations come from It measures the scientific influence of the average article in a journal, it expresses how central to the global scientific discussion an average article of the journal is.

Year	SJR
2016	0.149
2017	0.182
2018	0.189

Total Documents

Evolution of the number of published documents. All types of documents are considered, including citable and non citable documents.

Year	Documents
2016	0
2017	0
2018	0

Citations per document

This indicator counts the number of citations received by documents from a journal and divides them by the total number of documents published in that journal. The chart shows the evolution of the average number of times documents published in a journal in the past two, three and four years have been cited in the current year. The two years line is equivalent to journal impact factor ™ (Thomson Reuters) metric.

Cites per document	Year	Value
Cites / Doc. (4 years)	2016	0.524
Cites / Doc. (4 years)	2017	0.738
Cites / Doc. (4 years)	2018	0.893
Cites / Doc. (3 years)	2016	0.524
Cites / Doc. (3 years)	2017	0.738
Cites / Doc. (3 years)	2018	0.893
Cites / Doc. (2 years)	2016	0.524
Cites / Doc. (2 years)	2017	0.738
Cites / Doc. (2 years)	2018	0.000

Total Cites

Self-Cites

Evolution of the total number of citations and journal's self-citations received by a journal's published documents during the three previous years.
Journal Self-citation is defined as the number of citation from a journal citing article to articles published by the same journal.

Cites	Year	Value
Self Cites	2016	0
Self Cites	2017	0
Self Cites	2018	0
Total Cites	2016	44
Total Cites	2017	62
Total Cites	2018	75

External Cites per Doc

Cites per Doc

Evolution of the number of total citation per document and external citation per document (i.e. journal self-citations removed) received by a journal's published documents during the three previous years. External citations are calculated by subtracting the number of self-citations from the total number of citations received by the journal’s documents.

Cites	Year	Value
External Cites per document	2016	0.524
External Cites per document	2017	0.738
External Cites per document	2018	0.893
Cites per document	2016	0.524
Cites per document	2017	0.738
Cites per document	2018	0.893

% International Collaboration

International Collaboration accounts for the articles that have been produced by researchers from several countries. The chart shows the ratio of a journal's documents signed by researchers from more than one country; that is including more than one country address.

Year	International Collaboration
2016	0
2017	0
2018	0

Citable documents

Non-citable documents

Not every article in a journal is considered primary research and therefore "citable", this chart shows the ratio of a journal's articles including substantial research (research articles, conference papers and reviews) in three year windows vs. those documents other than research articles, reviews and conference papers.

Documents	Year	Value
Non-citable documents	2016	3
Non-citable documents	2017	3
Non-citable documents	2018	3
Citable documents	2016	81
Citable documents	2017	81
Citable documents	2018	81

Cited documents

Uncited documents

Ratio of a journal's items, grouped in three years windows, that have been cited at least once vs. those not cited during the following year.

Documents	Year	Value
Uncited documents	2016	57
Uncited documents	2017	47
Uncited documents	2018	48
Cited documents	2016	27
Cited documents	2017	37
Cited documents	2018	36

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