Paper
17 January 2005 Home-video content analysis for MTV-style video generation
Author Affiliations +
Abstract
Intelligent video pre-processing and authoring techniques that facilitate people to create MTV-style music video clips are investigated in this research. First, we present an automatic approach to detect and remove bad shots often occurring in home video, such as video with poor lighting or motion blur. Then, we consider the generation of MTV-style video clips by performing video and music tempo analysis and seeking an effective way in matching these two tempos. Experiment results are given to demonstrate the feasibility and efficiency of the proposed techniques for home video editing.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Shih-Hung Lee, Chia-Hung Yeh, and C. C. Jay Kuo "Home-video content analysis for MTV-style video generation", Proc. SPIE 5682, Storage and Retrieval Methods and Applications for Multimedia 2005, (17 January 2005); https://doi.org/10.1117/12.591133
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CITATIONS
Cited by 5 scholarly publications.
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KEYWORDS
Video

Cameras

Visualization

Motion measurement

Motion models

Analytical research

Motion detection

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