International Journal Of Multimedia Information Retrieval

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.

目标和范围

《国际多媒体信息检索杂志》（IJMIR）是一本学术档案期刊，发表原创、同行评审的研究成果。其编辑委员会致力于展示多媒体信息检索领域内最重要的研究成果。核心领域包括探索、搜索和挖掘一般多媒体集合，包括从 WWW 到科学成像再到个人档案的信息。提供新见解并为进一步的探索和实验工作奠定基础的综合评论和调查论文也具有相关性。

相关主题包括

图像和视频检索 - 理论、算法和系统

社交媒体交互和检索 - 协同过滤、社交投票和排名

音乐和音频检索 - 理论、算法和系统

科学和生物成像 - MRI、X 射线、超声成像分析和检索

语义学习 - 视觉概念检测、对象识别和标签学习

媒体档案探索 - 浏览、体验式计算

界面 - 多媒体探索、可视化、查询和检索

多媒体挖掘 - 生活日志、WWW 媒体挖掘、普适媒体分析

交互式搜索 - 交互式学习和相关性反馈在多媒体检索中

分布式高性能媒体搜索 - 高效且超大规模搜索

应用 - 保护文化遗产、3D 图形模型等。

编辑政策：

我们的目标是快速做出决定（初步决定时间少于 4 个月）

IJMIR 不收取版面费。

论文在印刷出版之前在线发表。

参与多媒体搜索、探索和挖掘的学术、工业研究人员和从业人员会发现 IJMIR 是该领域重要成果的重要来源。

该刊已被国际权威数据库SCIE收录，该刊致力于发表经过严格同行评审的高质量原创文章，反映Multiple领域的新进展、新技术、新成果，促进该领域科研交流和科研成果转化。该刊2023年影响因子为3.6，平均审稿速度为 ，近四年来没有被列入预警名单。如果您需要投稿发表服务及指导，可以联系我们的客服老师，我们专业专注服务期刊投稿协助10年，为您提供期刊投稿个性化定制服务，并且我们确保严格保密您的个人信息及稿件内容。