Truly multi-modal YouTube-8M video classification with video, audio, and text

• Main Authors: WANG, Zhe, KUAN, Kingsley, RAVANT, Mathieu, MANEK, Gaurav, SONG, Sibo, FANG, Yuan, et al
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2017
• Subjects: Databases and Information Systems
• Online Access: https://ink.library.smu.edu.sg/sis_research/4059; https://ink.library.smu.edu.sg/context/sis_research/article/5062/viewcontent/Truly_Multi_modal_Youtube_8M_2017.pdf
• Institution: Singapore Management University

The YouTube-8M video classification challenge requires teams to classify 0.7 million videos into one or more of 4,716 classes. In this Kaggle competition, we placed in the top 3% out of 650 participants using released video and audio features. Beyond that, we extend the original competition by inclu...