Dec 24, 2019 · The Exquisitor system used for VBS consists of three parts: (1) a web-based user interface for receiving and judging video suggestions; (2) an ...
Exquisitor combines semantic features extracted from visual content and text to suggest relevant media items to the user, based on user relevance feedback.
Exquisitor at the Video Browser Showdown 2020. B. Jonsson, O. Khan, D. C. Koelma, S. Rudinac, M. Worring, J. Zahalka In International Conference on ...
Title: Exquisitor at the Video Browser Showdown 2020; Event: 26th International Conference on MultiMedia Modeling; Book/source title: MultiMedia Modeling ...
Many teams have participated in the Video Browser Showdown competition. This page provides a collection of links to the corresponding papers.
In this work, we propose improvements to Exquisitor that include new features extracted at shot level for semantic concepts, scenes and actions. In addition, we ...
Exquisitor is the state-of-the-art large-scale interactive learning approach for media exploration that utilizes user relevance feedback at its core and is ...
Exquisitor at the Video Browser Showdown 2024: Relevance Feedback Meets Conversational Search · Omar Shahbaz Khan · Hongyi Zhu · Ujjwal Sharma · Evangelos Kanoulas ...
Exquisitor at the Video Browser Showdown 2020. Lecture Notes in Computer Science, 2019. VIRET at Video Browser Showdown 2020. Lecture Notes in Computer Science ...
Exquisitor, a media explorer capable of learning user preferences in real-time during interactions with the 99.2 million images of YFCC100M, ...