Music video shot segmentation using independent component analysis and keyframe extraction based on image complexity

Wei Li; Ting Chen; Wenjun Zhang; Yunyu Shi; Jun Li

doi:10.1117/12.966833

8 June 2012 Music video shot segmentation using independent component analysis and keyframe extraction based on image complexity

Wei Li, Ting Chen, Wenjun Zhang, Yunyu Shi, Jun Li

Author Affiliations +

Proceedings Volume 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012); 83343V (2012) https://doi.org/10.1117/12.966833
Event: Fourth International Conference on Digital Image Processing (ICDIP 2012), 2012, Kuala Lumpur, Malaysia

Abstract

In recent years, Music video data is increasing at an astonishing speed. Shot segmentation and keyframe extraction constitute a fundamental unit in organizing, indexing, retrieving video content. In this paper a unified framework is proposed to detect the shot boundaries and extract the keyframe of a shot. Music video is first segmented to shots by illumination-invariant chromaticity histogram in independent component (IC) analysis feature space .Then we presents a new metric, image complexity, to extract keyframe in a shot which is computed by ICs. Experimental results show the framework is effective and has a good performance.

Citation Download Citation

Wei Li, Ting Chen, Wenjun Zhang, Yunyu Shi, and Jun Li "Music video shot segmentation using independent component analysis and keyframe extraction based on image complexity", Proc. SPIE 8334, Fourth International Conference on Digital Image Processing (ICDIP 2012), 83343V (8 June 2012); https://doi.org/10.1117/12.966833

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