International Journal of Multimedia Information Retrieval

SCI期刊
International Journal of Multimedia Information Retrieval
中文名称:
国际多媒体信息检索杂志
影响因子:
3.6
ISSN:
print: 2192-6611
on-line: 2192-662X
研究领域:
Multiple
自引率:
5.40%
Gold OA文章占比:
11.76%
原创研究文献占比:
83.33%
SCI收录类型:
Science Citation Index Expanded (SCIE) || Scopus (CiteScore)
期刊介绍英文:
Aims and Scope The International Journal of Multimedia Information Retrieval (IJMIR) is a scholarly archival journal publishing original, peer-reviewed research contributions. Its editorial board strives to present the most important research results in areas within the field of multimedia information retrieval. Core areas include exploration, search, and mining in general collections of multimedia consisting of information from the WWW to scientific imaging to personal archives. Comprehensive review and survey papers that offer up new insights, and lay the foundations for further exploratory and experimental work, are also relevant. Relevant topics include Image and video retrieval - theory, algorithms, and systems Social media interaction and retrieval - collaborative filtering, social voting and ranking Music and audio retrieval - theory, algorithms, and systems Scientific and Bio-imaging - MRI, X-ray, ultrasound imaging analysis and retrieval Semantic learning - visual concept detection, object recognition, and tag learning Exploration of media archives - browsing, experiential computing Interfaces - multimedia exploration, visualization, query and retrieval Multimedia mining - life logs, WWW media mining, pervasive media analysis Interactive search - interactive learning and relevance feedback in multimedia retrieval Distributed and high performance media search - efficient and very large scale search Applications - preserving cultural heritage, 3D graphics models, etc. Editorial Policies: We aim for a fast decision time (less than 4 months for the initial decision) There are no page charges in IJMIR. Papers are published on line in advance of print publication. Academic, industrial researchers, and practitioners involved with multimedia search, exploration, and mining will find IJMIR to be an essential source for important results in the field.
CiteScore:
CiteScoreSJRSNIPCiteScore排名
7.81.1151.969
学科
排名
百分位
大类:Social Sciences
小类:Library and Information Sciences
27 / 280
90%
大类:Engineering
小类:Media Technology
8 / 63
88%
大类:Computer Science
小类:Information Systems
81 / 394
79%
发文信息
中科院SCI期刊分区
大类 小类 TOP期刊 综述期刊
3区 计算机科学
3区 计算机:人工智能 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
3区 计算机:软件工程 COMPUTER SCIENCE, SOFTWARE ENGINEERING
WOS期刊分区
学科分类
Q2COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Q1COMPUTER SCIENCE, SOFTWARE ENGINEERING
历年影响因子
2021年2.5530
2022年5.6000
2023年3.6000
历年发表
2012年28
2013年22
2014年23
2015年20
2016年21
2017年29
2018年21
2019年23
2020年15
2021年22
2022年36
投稿信息
出版周期:
4 issues per year
出版语言:
English
出版国家(地区):
ENGLAND
初审时长:
16 days
出版商:
SPRINGER
编辑部地址:
ONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, United States, NY, 10004

International Journal of Multimedia Information Retrieval - 最新文献

Text-assisted attention-based cross-modal hashing

Pub Date : 2024-01-08 DOI: 10.1007/s13735-023-00311-7 Xiang Yuan, Shihao Shan, Yuwen Huo, Junkai Jiang, Song Wu

Augmented inputs for surveillance re-identification

Pub Date : 2024-01-06 DOI: 10.1007/s13735-023-00309-1 Rangwan Kasantikul, Worapan Kusakunniran

Image enhancement with bi-directional normalization and color attention-guided generative adversarial networks

Pub Date : 2024-01-05 DOI: 10.1007/s13735-023-00310-8 Shan Liu, Shihao Shan, Guoqiang Xiao, Xinbo Gao, Song Wu
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