International Journal Of Multimedia Information Retrieval

Journal Title：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

International Journal of Multimedia Information Retrieval (IJMIR) 是一份学术档案期刊，发表经同行评审的原创研究贡献。其编委致力于呈现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，包括从万维网到科学成像到个人档案的信息。提供新见解并为进一步探索和实验工作奠定基础的综合评论和调查论文也很重要。

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、物体识别和标签学习

媒体档案探索——浏览、体验式计算

接口 - 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——多媒体检索中的交互式学习和相关反馈

分布式和高性能媒体搜索 - 高效且超大规模的搜索

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（最初的决定不到 4 个月）

IJMIR 不收取页面费用。

论文在印刷出版之前在线发表。

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

International Journal Of Multimedia Information Retrieval由SPRINGER出版商出版，收稿方向涵盖Multiple全领域，此期刊水平偏中等偏靠后，在所属细分领域中专业影响力一般，过审相对较易，如果您文章质量佳，选择此期刊，发表机率较高。该期刊近期没有被列入国际期刊预警名单，广大学者值得一试。