Automatic movie skimming with story units via general tempo analysis

Shih-Hung Lee; Chia H. Yeh; C.-C. Jay Kuo

doi:10.1117/12.528117

18 December 2003 Automatic movie skimming with story units via general tempo analysis

Shih-Hung Lee, Chia H. Yeh, C.-C. Jay Kuo

Proceedings Volume 5307, Storage and Retrieval Methods and Applications for Multimedia 2004; (2003) https://doi.org/10.1117/12.528117
Event: Electronic Imaging 2004, 2004, San Jose, California, United States

Abstract

A skimming system for movie content exploration is proposed using story units extracted via general tempo analysis of audio and visual data. Quite a few schemes have been proposed to segment video data into shots with low-level features, yet the grouping of shots into meaningful units, called story units here, is important and challenging. In this work, we detect similar shots using key frames and include these similar shots as a node in the scene transition graph. Then, an importance measure is calculated based on the total length of each node. Finally, we select sinks and shots according to this measure. Based on these semantic shots, a meaningful skims can be successfully generated. Simulation results will be presented to show that the proposed video skimming scheme can preserve the essential and significant content of the original video data.

Citation Download Citation

Shih-Hung Lee, Chia H. Yeh, and C.-C. Jay Kuo "Automatic movie skimming with story units via general tempo analysis", Proc. SPIE 5307, Storage and Retrieval Methods and Applications for Multimedia 2004, (18 December 2003); https://doi.org/10.1117/12.528117

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