Aggregating Frame-level Features for Large-Scale Video Classification

This paper introduces the system we developed for the Google Cloud & YouTube-8M Video Understanding Challenge, which can be considered as a multi-label classification problem defined on top of the large scale YouTube-8M Dataset [1]. We employ a large set of techniques to aggregate the provided frame-level feature representations and generate video-level… CONTINUE READING