OmniViD: A Generative Framework for Universal Video Understanding

The core of video understanding tasks, such as recognition, captioning, and tracking, is to automatically de-tect objects or actions in a video and analyze their temporal evolution. Despite sharing a common goal, different tasks often rely on distinct model architectures and annotation formats. In c...

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Bibliographic Details

Published in:	Proceedings (IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Online) pp. 18209 - 18220
Main Authors:	Wang, Junke, Chen, Dongdong, Luo, Chong, He, Bo, Yuan, Lu, Wu, Zuxuan, Jiang, Yu-Gang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 16.06.2024
Subjects:	Benchmark testing Computer architecture Location awareness Robustness Training Visualization Vocabulary
ISSN:	1063-6919
Online Access:	Get full text
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