A perceptual scheme for fully automatic video shot boundary detection |
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Institution: | 1. Institute for Electronics and Telecommunication of Rennes IETR/INSA, 20 avenue des Buttes de Coesmes, Rennes, France;2. IRISA Lagadic Team, Campus universitaire de Beaulieu, 263 Avenue du Général Leclerc, France;3. Technicolor Research and Innovation, avenue des Champs Blancs, Cesson Sevigné, France;1. School of Electronic and Information Engineering, South China University of Technology, China;2. School of Information and Communication Technology, Griffith University, Australia |
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Abstract: | In this paper, we propose a novel and robust modus operandi for fast and accurate shot boundary detection where the whole design philosophy is based on human perceptual rules and the well-known “Information Seeking Mantra”. By adopting a top–down approach, redundant video processing is avoided and furthermore elegant shot boundary detection accuracy is obtained under significantly low computational costs. Objects within shots are detected via local image features and used for revealing visual discontinuities among shots. The proposed method can be used for detecting all types of gradual transitions as well as abrupt changes. Another important feature is that the proposed method is fully generic, which can be applied to any video content without requiring any training or tuning in advance. Furthermore, it allows a user interaction to direct the SBD process to the user's “Region of Interest” or to stop it once satisfactory results are obtained. Experimental results demonstrate that the proposed algorithm achieves superior computational times compared to the state-of-art methods without sacrificing performance. |
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Keywords: | Video shot boundary detection Human perception Local image features Video content analysis |
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