Video Summarization with Long Short-term Memory

26 May 2016Ke ZhangWei-Lun ChaoFei ShaKristen Grauman

We propose a novel supervised learning technique for summarizing videos by automatically selecting keyframes or key subshots. Casting the problem as a structured prediction problem on sequential data, our main idea is to use Long Short-Term Memory (LSTM), a special type of recurrent neural networks to model the variable-range dependencies entailed in the task of video summarization... (read more)

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