International Journal of Multimedia Information Retrieval（国际多媒体信息检索杂志）影响因子_期刊投稿发表

期刊简介

Aims and ScopeThe 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.

目的和范围国际多媒体信息检索杂志（IJMIR）是一个学术档案期刊，发表原创的同行评审的研究成果。它的编辑委员会致力于介绍多媒体信息检索领域内最重要的研究成果。核心领域包括在多媒体的一般集合中的探索、搜索和挖掘，这些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全面综述和调查论文也是相关的。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-协作过滤、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、超声波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的探索-浏览、经验计算接口-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-高效和超大规模搜索应用-保存文化遗产、3D图形模型等。2编辑政策：我们的目标是一个快速的决定时间（少于4个月的初步决定）有没有页面收费在IJMIR。论文在印刷出版之前在线发表。从事多媒体搜索、勘探和采矿的学术、工业研究人员和从业人员将发现IJMIR是该领域重要结果的重要来源。

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