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首页> 外文期刊>International journal of multimedia data engineering & management >A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms
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A Web-Based Multimedia Retrieval System with MCA-Based Filtering and Subspace-Based Learning Algorithms

机译:基于Web的多媒体检索系统,具有基于MCA的过滤和基于子空间的学习算法

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摘要

The popularity of research on intelligent multimedia services and applications is motivated by the high demand of the convenient access and distribution of pervasive multimedia data. Facing with abundant multimedia resources but inefficient and rather old-fashioned keyword-based retrieval approaches, Intelligent Multimedia Systems (IMS) demand on (ⅰ) effective filtering algorithms for storage saving, computation reduction, and dynamic media delivery; and (ⅱ) advanced learning methods to accurately identify target concepts, effectively search personalized media content, and enable media-type driven applications. Nowadays, the web based multimedia applications become more and more popular. Therefore, how to utilize the web technology into multimedia data management and retrieval becomes an important research topic. In this paper, the authors developed a web-based intelligent video retrieval system that integrates effective and efficient MCA-based filtering and subspace-based learning to facilitate end users to retrieve their desired semantic concepts. A web-based demo shows the effectiveness of the proposed intelligent multimedia system to provide relevant results of target semantic concepts retrieved from TRECVID video collections.
机译:对智能多媒体服务和应用程序的研究的普及是由于对普及的多媒体数据的方便访问和分发的高要求所致。面对丰富的多媒体资源,但低效且过时的基于关键字的检索方法,智能多媒体系统(IMS)要求(ⅰ)有效的过滤算法,以节省存储空间,减少计算量并动态分发媒体; (ⅱ)先进的学习方法,可以准确地确定目标概念,有效地搜索个性化媒体内容并启用媒体类型驱动的应用程序。如今,基于Web的多媒体应用程序变得越来越流行。因此,如何利用网络技术进行多媒体数据的管理和检索成为重要的研究课题。在本文中,作者开发了一个基于Web的智能视频检索系统,该系统集成了有效且高效的基于MCA的过滤和基于子空间的学习,以方便最终用户检索所需的语义概念。一个基于Web的演示展示了所提出的智能多媒体系统提供从TRECVID视频集合中检索到的目标语义概念的相关结果的有效性。

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