5 research outputs found
SoccerDB: A Large-Scale Database for Comprehensive Video Understanding
Soccer videos can serve as a perfect research object for video understanding
because soccer games are played under well-defined rules while complex and
intriguing enough for researchers to study. In this paper, we propose a new
soccer video database named SoccerDB, comprising 171,191 video segments from
346 high-quality soccer games. The database contains 702,096 bounding boxes,
37,709 essential event labels with time boundary and 17,115 highlight
annotations for object detection, action recognition, temporal action
localization, and highlight detection tasks. To our knowledge, it is the
largest database for comprehensive sports video understanding on various
aspects. We further survey a collection of strong baselines on SoccerDB, which
have demonstrated state-of-the-art performances on independent tasks. Our
evaluation suggests that we can benefit significantly when jointly considering
the inner correlations among those tasks. We believe the release of SoccerDB
will tremendously advance researches around comprehensive video understanding.
{\itshape Our dataset and code published on
https://github.com/newsdata/SoccerDB.}Comment: accepted by MM2020 sports worksho
Causal association between snoring and stroke: a Mendelian randomization study in a Chinese populationResearch in context
Summary: Background: Previous observational studies established a positive relationship between snoring and stroke. We aimed to investigate the causal effect of snoring on stroke. Methods: Based on 82,339 unrelated individuals with qualified genotyping data of Asian descent from the China Kadoorie Biobank (CKB), we conducted a Mendelian randomization (MR) analysis of snoring and stroke. Genetic variants identified in the genome-wide association analysis (GWAS) of snoring in CKB and UK Biobank (UKB) were selected for constructing genetic risk scores (GRS). A two-stage method was applied to estimate the associations of the genetically predicted snoring with stroke and its subtypes. Besides, MR analysis among the non-obese group (body mass index, BMI <24.0Â kg/m2), as well as multivariable MR (MVMR), were performed to control for potential pleiotropy from BMI. In addition, the inverse-variance weighted (IVW) method was applied to estimate the causal association with genetic variants identified in CKB GWAS. Findings: Positive associations were found between snoring and total stroke, hemorrhagic stroke (HS), and ischemic stroke (IS). With GRS of CKB, the corresponding HRs (95% CIs) were 1.56 (1.15, 2.12), 1.50 (0.84, 2.69), 2.02 (1.36, 3.01), and the corresponding HRs (95% CIs) using GRS of UKB were 1.78 (1.30, 2.43), 1.94 (1.07, 3.52), and 1.74 (1.16, 2.61). The associations remained stable in the MR among the non-obese group, MVMR analysis, and MR analysis using the IVW method. Interpretation: This study suggests that, among Chinese adults, genetically predicted snoring could increase the risk of total stroke, IS, and HS, and the causal effect was independent of BMI. Funding: National Natural Science Foundation of China, Kadoorie Charitable Foundation Hong Kong, UK Wellcome Trust, National Key R&D Program of China, Chinese Ministry of Science and Technology