M
Michael Gygli
Researcher at Google
Publications - 40
Citations - 2457
Michael Gygli is an academic researcher from Google. The author has contributed to research in topics: Convolutional neural network & Automatic summarization. The author has an hindex of 17, co-authored 40 publications receiving 1979 citations. Previous affiliations of Michael Gygli include Yahoo! & ETH Zurich.
Papers
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Book ChapterDOI
Creating Summaries from User Videos
TL;DR: This paper proposes a novel approach and a new benchmark for video summarization, which focuses on user videos, which are raw videos containing a set of interesting events, and generates high-quality results, comparable to manual, human-created summaries.
Proceedings ArticleDOI
Video summarization by learning submodular mixtures of objectives
TL;DR: A new method is introduced that uses a supervised approach in order to learn the importance of global characteristics of a summary and jointly optimizes for multiple objectives and thus creates summaries that posses multiple properties of a good summary.
Proceedings ArticleDOI
The Interestingness of Images
TL;DR: This work introduces a set of features computationally capturing the three main aspects of visual interestingness and builds an interestingness predictor from them, shown on three datasets with varying context, reflecting the prior knowledge of the viewers.
Journal ArticleDOI
AENet: Learning Deep Audio Features for Video Analysis
TL;DR: In this article, the authors proposed a new deep network for audio event recognition, called AENet, which uses a convolutional neural network (CNN) operating on a large temporal input.