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Large Scale Rich Media Information Search: Challenges and Opportunities

机译:大规模富媒体信息搜索:挑战与机遇

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In recent years, the emergence of online social network and other web applications is dramatically changing how rich media information is accessed and presented, how knowledge is processed and extracted, and how business can be conducted. Characteristics of the related data, users and computing environment influence the development, implementation and evaluation of media (e.g., text, audio, image and video) retrieval systems significantly. Designing effective search algorithms plays a critical role to satisfy user's information needs. In this article, we try to identify several potential research directions and discuss critical technical challenges on how to efficiently develop rich/multimedia retrieval and data management techniques from different respects. They include query formulation, recommendation systems, and index structure for query speed and scalability improvement.
机译:近年来,在线社交网络和其他Web应用程序的出现极大地改变了如何访问和呈现富媒体信息,如何处理和提取知识以及如何开展业务。相关数据,用户和计算环境的特征极大地影响了媒体(例如,文本,音频,图像和视频)检索系统的开发,实施和评估。设计有效的搜索算法对于满足用户的信息需求起着至关重要的作用。在本文中,我们尝试确定几个潜在的研究方向,并讨论如何从不同角度有效开发富/多媒体检索和数据管理技术的关键技术挑战。它们包括查询表述,推荐系统和索引结构,以提高查询速度和可伸缩性。

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