Video summarization via minimum sparse reconstruction
作者：
Highlights：
• A minimum sparse reconstruction (MSR) based video summarization (VS) model is constructed.
• An L0 norm based constraint is imposed to ensure real sparsity.
• Two efficient and effective MSR based VS algorithms are proposed for off-line and on-line applications, respectively.
• A scalable strategy is designed to provide flexibility for practical applications.
摘要
Highlights•A minimum sparse reconstruction (MSR) based video summarization (VS) model is constructed.•An L0 norm based constraint is imposed to ensure real sparsity.•Two efficient and effective MSR based VS algorithms are proposed for off-line and on-line applications, respectively.•A scalable strategy is designed to provide flexibility for practical applications.
论文关键词：Video summarization,Keyframe extraction,Sparse reconstruction,Dictionary selection
论文评审过程：Received 24 February 2014, Revised 27 May 2014, Accepted 2 August 2014, Available online 15 August 2014.
论文官网地址：https://doi.org/10.1016/j.patcog.2014.08.002
