Effective Video Scene Detection Approach Based on Cinematic Rules

Geng, Yangyang; Xu, De; Aimin, Wu

doi:10.1007/11552451_165

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Video Structure Analysis1

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2006

2011

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Cited by 4 publications

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“…We employ singularity detection with wavelet to detect shot boundary [10]. Then we exploit the cinematic rules as a guideline to identify the video scenes [11]. In this step, three main scene categories are identified: dialogue scene, action scene and dialogue with action scene.…”

Section: Video Structure Analysismentioning

confidence: 99%

Hierarchical Video Summarization Based on Video Structure and Highlight

Geng

Feng

2006

Lecture Notes in Computer Science

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Abstract. Video summarization is a significant scheme to organize massive video data, and implement a meaningful rapid navigation of video. In this paper, we propose a hierarchical video summarization approach based on video structure and highlight. We extract video structure unit, and measure the unit (frame, shot and scene) importance rank based on visual and audio attention models. According to the unit importance rank, the skim ratio and key frame ratio are assigned to the different video units. Thus we achieve a hierarchical video summary. Experimental results show the excellent performance of the approach.

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Section: Video Structure Analysismentioning

confidence: 99%