International Journal of Multimedia Information Retrieval

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.

【译文】目标与范围国际多媒体信息检索杂志（IJMIR）是一本学术档案期刊，发表原创的同行评审研究贡献。其编委会致力于展示多媒体信息检索领域内最重要的研究成果。核心领域包括从WWW到科学成像到个人档案的一般多媒体集合中的探索、搜索和挖掘。提供新见解并为进一步探索性和实验性工作奠定基础的全面综述和调查论文也相关。相关主题包括图像和视频检索 - 理论、算法和系统 社交媒体互动和检索 - 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、泛在媒体分析 交互式搜索 - 多媒体检索中的交互式学习和相关性反馈 分布式和高性能媒体搜索 - 高效和超大规模搜索 应用 - 保护文化遗产、3D图形模型等。编辑政策：我们旨在快速做出决定（初始决定少于4个月）IJMIR没有页面费用。论文在线发布在印刷出版之前。