会议信息

BigMM 2023: International Conference on Multimedia Big Data

请登录查看会议网址
免费注册：查看官网链接、跟踪截稿日期，并接收邮件提醒。
注册 登录
截稿日期:
2023-09-01
通知日期:
2023-10-01
会议日期:
2023-12-11
会议地点:
Laguna Hills, California, USA
届数:
9
浏览: 37580   关注: 4   参加: 5
这一页信息有误？告诉我们
嵌入截止倒计时徽章
BigMM
用 API 获取这条数据
搜索与榜单列表完全无需凭证；本页的完整详情需要一把免费 API 密钥。详见开发者接入页。

会伴指数 (CP-I)

46.0 / 100
全站第 2,592 名 / 共 5,693 个会议 · 前 46%

计算机图形学与多媒体 第 88 / 151 数据挖掘与数据库 第 155 / 337

学术认可 (35%) 无数据 —— 按中性基准 50 分计入 —
投稿选择性 (20%) 无数据 —— 按中性基准 50 分计入 —
会议传承 (20%)
62
社区关注 (10%)
24
资料公开度 (15%)
25

用到的输入: 有据可查的届次：9 · 在会伴关注它的研究者：4 人 · 过去 24 个月打开过本页的研究者：2 人

公开资料里还缺: 历年录用率 (+4.5) · 历届信息 (+3.0) · 最佳论文记录 (+2.3)
主办方认领本会议后，可直接在这一页补上；分数每晚重算。如何提升这个分数

置信度 45% —— 分数中有多大比例来自实际观测到的数据，而不是中性基准。 这个分数是怎么算出来的 · 查看完整榜单 · 算法版本 1.1 · 算于 2026-10-05

征稿

BigMM 2023 (International Conference on Multimedia Big Data) is an academic conference held in Laguna Hills, California, USA on 2023-12-11. The paper submission deadline is 2023-09-01. Acceptance notifications are sent on 2023-10-01.

Multimedia, as one of the most important and valuable sources for insights and information, is increasingly being considered as big data.” Multimedia big data includes but is not limited to text, image, graphics, audio, video, social, and sensor data that is highly valuable in decision making. It covers from everyone’s experiences to everything happening in the world. As such, multimedia big data is spurring on a tremendous amount of research and development of related technologies and applications. The focus of the conference series has been established with the belief that it is important to have a full, top-tier conference that focuses specifically on the combination of multimedia and big data research. While research about specific aspects of big data systems is regularly published in the various proceedings and transactions of the information retrieval, operating system, real-time system, and database communities, BigMM aims to cut across these domains in the context of multimedia data types. This provides a unique opportunity to view the intersections and interplay of the various approaches and solutions developed across these domains to deal with multimedia big data types. Furthermore, BigMM provides an avenue for communicating research that addresses both multimedia and big data holistically. The mission of the conference is to share research results and solutions and to identify new issues and directions for future research and development work.
由 Dou Sun 最后更新于

相关会议

CCFICORECP-I简称全称截稿日期会议日期
39.8Big DataInternational Conference on Big Data2014-04-302014-08-04
43.4IEEE Big Data ServiceIEEE International Conference On Big Data Service and Applications2018-11-302019-04-04
AA*92.5SIGIRInternational Conference on Research and Development in Information Retrieval2026-01-152026-07-20
AA*97.8AAAIAAAI Conference on Artificial Intelligence2026-07-212027-02-16
AA*94.4CVPRIEEE Conference on Computer Vision and Pattern Recognition2026-11-102027-06-20
BA*89.7ICRAInternational Conference on Robotics and Automation2026-09-152027-05-24
BA*94.1IJCAIInternational Joint Conference on Artificial Intelligence2026-01-312026-08-15
AA*92.6STOCACM Symposium on Theory of Computing2026-11-022027-06-06
C87.5ICCInternational Conference on Communications2026-10-022027-05-30
CB62.7IJCNNInternational Joint Conference on Neural Networks2027-01-312027-06-14

相关期刊

CCF全称影响因子出版商ISSN
Journal of Big Data6.4Springer2196-1115
Big Data Research4.2Elsevier2214-5796
IEEE MultiMedia3.3IEEE1070-986X
AIEEE Transactions on Multimedia9.7IEEE1520-9210
CKnowledge-Based Systems7.2Elsevier0950-7051
BSoftware & Systems Modeling3.2Springer1619-1366
AIEEE Transactions on Computers3.8IEEE0018-9340
CFuture Generation Computer Systems5.9Elsevier0167-739X
CNeurocomputing6.5Elsevier0925-2312
CPattern Recognition Letters3.9Elsevier0167-8655

评论 0

暂无评论。

请登录后发表评论