Overview of ImageCLEF Lifelog 2020: Lifelog Moment Retrieval and Sport Performance Lifelog
Year: 2020
Type: conference-paper
Abstract: This paper describes the fourth edition of Lifelog challenges in ImageCLEF 2020. In this edition, the Lifelog challenges consist of two tasks which are Lifelog Moments Retrieval (LMRT) and Sport Performance Lifelog (SPLL). While the Lifelog Moments Retrieval challenge follows the same format of the previous edition, its data is a larger multimodal dataset based on the merger of three previous NTCIR Lifelog datasets, which contain approximately 191,439 images with corresponding visual concepts and other related metadata. The Sport Performance Lifelog, which is a brand new challenge, is composed of three subtasks that focus on predicting the expected performance of athletes who trained for a sport event. In summary, the ImageCLEF Lifelog 2020 receives 50 runs from six teams in total with competitive results.
Authors: Van-Tu Ninh, Tu-Khiem Le, Liting Zhou, Luca Piras, Michael A. Riegler, Pål Halvorsen, Mathias Lux, Minh–Triet Tran, Cathal Gurrin, Duc‐Tien Dang‐Nguyen
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W3097606795