VC-I2R@ImageCLEF2017: Ensemble of Deep Learned Features for Lifelog Video Summarization


In this paper we describe our approach for the ImageCLEFlifelog summarization task. A total of ten runs were submitted, which used only visual features, only metadata information, or both. In the first step, a set of relevant frames are drawn from the whole lifelog. Such frames must be of good visual quality, and match the given task semantically. For the… (More)

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