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A total variation-based hierarchical radial video visualization method

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Abstract

To clearly visualize the video structure and provide a user-friendly video content review and retrieval system, we first apply total variation (TV) metric to video shot segmentation and propose a novel video visualization method in this paper. Firstly, video data visualization design principles are proposed based on the analysis of video data characteristics. Secondly, a TV metric is proposed to measure the distance between two video frames. Then, video shots are detected by TV metric, video key frames are extracted by k-means algorithm, and similar shots are retrieved based on frame dominant color. Finally, according to the proposed video visualization design principles, a hierarchical radial video visualization method is presented. Experimental results show that the proposed video visualization method can express the video content and the whole structure directly and clearly.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant No. 61303127) and the Key Program of Sichuan Provincial Department of Education (Grant No. 13ZA0169).

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Authors and Affiliations

  1. School of Computer Science and Technology, Southwest University of Science and Technology, Mianyang, Sichuan, China

    Yadong Wu, Song Wang, Haiyang Wang, Qiusheng Li, Hongyu Jiang & Yonggang Zou

  2. Institute of Electronic Engineering, China Academy of Engineering Physics, Mianyang, Sichuan, China

    Song Wang

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  1. Yadong Wu
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  2. Song Wang
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  3. Haiyang Wang
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  4. Qiusheng Li
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  5. Hongyu Jiang
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  6. Yonggang Zou
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Corresponding author

Correspondence to Yadong Wu.

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Wu, Y., Wang, S., Wang, H. et al. A total variation-based hierarchical radial video visualization method. J Vis 18, 255–267 (2015). https://doi.org/10.1007/s12650-014-0266-6

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  • DOI: https://doi.org/10.1007/s12650-014-0266-6

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