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Video Key Frame Extraction for Semantic Retrieval

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Information Computing and Applications (ICICA 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 391))

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Abstract

With the emergence of a large number of video information, content-based video retrieval becomes a hot research topic. A shot is the basic unit of video analysis, lacking semantic information. How to extract key frames from a shot is the key issues of supporting for semantic video retrieval, which makes the obtained key frames represent the main content of a shot completely and accurately. This paper presents the key frame extraction process from top to down, being divided into three parts, i.e., shot segmentation, shot segmentation and key frame extraction. Each part will use the difference between frames. The most important work is feature extraction which is used during the whole process, so as to provide technical support for semantic-based video retrieval.

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Author information

Authors and Affiliations

  1. School of Computer Science and Technology, Huazhong University of Science and Technolgy, China

    Xian Zhong & Yan-Sheng Lu

  2. School of Computer Science and Technology, Wuhan University of Technology, China

    Lin Li

Authors
  1. Xian Zhong
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  2. Yan-Sheng Lu
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  3. Lin Li
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Editor information

Editors and Affiliations

  1. Shanghai Jiao Tong University, 800 Dongchuan Road, Dianxinqunlou 1-401, 200240, Shanghai, China

    Yuhang Yang

  2. School of Electrical and Electronic Engineering, Nanyang Technological University, Nanyang Avenue, 639798, Singapore, Singapore

    Maode Ma

  3. College of Science, Hebei United University, 063009, Tangshan, Hebei, China

    Baoxiang Liu

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Zhong, X., Lu, YS., Li, L. (2013). Video Key Frame Extraction for Semantic Retrieval. In: Yang, Y., Ma, M., Liu, B. (eds) Information Computing and Applications. ICICA 2013. Communications in Computer and Information Science, vol 391. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-53932-9_52

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  • DOI: https://doi.org/10.1007/978-3-642-53932-9_52

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-53931-2

  • Online ISBN: 978-3-642-53932-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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