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holistic video understanding toggle navigation hvu workshops tutorials about our team contact holistic video understanding holistic video understanding dataset holistic large scale video understanding action recognition has been advanced in recent years by benchmarks with rich annotations however research is still mainly limited to human action or sports recognition focusing on a highly specific video understanding task and thus leaving a significant gap towards describing the overall content of a video we fill in this gap by presenting a large scale holistic video understanding dataset hvu hvu is organized hierarchically in a semantic taxonomy that focuses on multi label and multi task video understanding as a comprehensive problem that encompasses the recognition of multiple semantic aspects in the dynamic scene hvu contains approx 577k videos in total with 13m annotations for training and validation set spanning over 3k classes hvu encompasses semantic aspects defined on categories of scenes objects actions events attributes and concepts which naturally captures the real world scenarios get the full hvu dataset get the mini hvu dataset team ali diba ali diba phd candidate at the ku leuven university mohsen fayyaz mohsen fayyaz phd candidate at the university of bonn vivek sharma vivek sharma phd candidate at the karlsruhe institute of technology manohar paluri manohar paluri director in facebook ai research juergen gall juergen gall full professor and head of the computer vision group at the university of bonn rainer stiefelhagen rainer stiefelhagen full professor at the karlsruhe institute of technology kit luc van gool luc van gool full professor for computer vision at both the kuleuven and the eth zurich fereshteh shakeri fereshteh shakeri andreas torsten kofer andreas torsten kofer andreas collaborated with us as a research assistant while he was a master student at the university of bonn farnoush rezaei jafari farnoush rezaei jafari farnoush collaborated with us as a research assistant while she was a master student at the technical university of berlin ali diba mohsen fayyaz and vivek sharma contributed equally to this work and listed in alphabetical order contact lshvu fayyaz iai uni bonn de holistic video understanding