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Intelligent processing techniques for semantic-based image and video retrieval

机译:基于语义的图像和视频检索的智能处理技术

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摘要

Rapid advances in technology for capturing, processing, distributing, storing, and presenting visual data have resulted in a proliferation of image and video data in human lives. The multimedia research community has widely recognized the importance of searching images or videos from a large-scale corpus or the Internet Intelligent processing techniques are the most useful tools to achieve this objective and the recent years have witnessed very significant contributions of intelligent algorithms in multimedia search. Intelligent information processing, such as machine learning techniques, knowledge discovery and data mining, computer vision and cognitive computation, natural language processing, and intelligent human-machine interfaces, have great influence on extracting the semantic information for image and video data. These techniques light a way to make the semantic-based image/ video retrieval come true. At least, they provide us a reasonable direction to touch the semantic retrieval.
机译:捕获,处理,分发,存储和呈现视觉数据的技术的飞速发展导致人类生活中图像和视频数据的激增。多媒体研究界已经广泛认识到从大型语料库或Internet搜索图像或视频的重要性。智能处理技术是实现此目标的最有用工具,并且近年来见证了智能算法在多媒体搜索中的重要贡献。 。诸如机器学习技术,知识发现和数据挖掘,计算机视觉和认知计算,自然语言处理以及智能人机界面等智能信息处理对提取图像和视频数据的语义信息有很大影响。这些技术为实现基于语义的图像/视频检索提供了一种途径。至少,它们为我们提供了触及语义检索的合理方向。

著录项

  • 来源
    《Neurocomputing》 |2013年第7期|1-2|共2页
  • 作者单位

    School of Computer Science and Technology,Nanjing University of Science and Technology, China;

    Centre for Quantum Computation and Intelligent Systems,University of Technology, Sydney;

    School of Information Science and Technology,University of Science and Technology of China, China;

    Department of Electronic Engineering, Tsinghua University, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
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