Zobrazeno 1 - 10
of 116 308
pro vyhledávání: '"Video-analysis"'
Large multimodal models (LMMs) with advanced video analysis capabilities have recently garnered significant attention. However, most evaluations rely on traditional methods like multiple-choice questions in benchmarks such as VideoMME and LongVideoBe
Externí odkaz:
http://arxiv.org/abs/2411.13281
This paper addresses the challenge of automated violence detection in video frames captured by surveillance cameras, specifically focusing on classifying scenes as "fight" or "non-fight." This task is critical for enhancing unmanned security systems,
Externí odkaz:
http://arxiv.org/abs/2412.02127
Modern vehicles equip dashcams that primarily collect visual evidence for traffic accidents. However, most of the video data collected by dashcams that is not related to traffic accidents is discarded without any use. In this paper, we present a use
Externí odkaz:
http://arxiv.org/abs/2411.19558
Despite advances in Large Multi-modal Models, applying them to long and untrimmed video content remains challenging due to limitations in context length and substantial memory overhead. These constraints often lead to significant information loss and
Externí odkaz:
http://arxiv.org/abs/2411.16173
Mobile deep vision systems play a vital role in numerous scenarios. However, deep learning applications in mobile vision scenarios face problems such as tight computing resources. With the development of edge computing, the architecture of edge cloud
Externí odkaz:
http://arxiv.org/abs/2410.18399
Deep learning and advancements in contactless sensors have significantly enhanced our ability to understand complex human activities in healthcare settings. In particular, deep learning models utilizing computer vision have been developed to enable d
Externí odkaz:
http://arxiv.org/abs/2410.09339
Autor:
Varini, Filippo, Gayford, Joel H., Jenrette, Jeremy, Witt, Matthew J., Garzon, Francesco, Ferretti, Francesco, Wilday, Sophie, Bond, Mark E., Heithaus, Michael R., Robinson, Danielle, Carter, Devon, Gumbs, Najee, Webster, Vincent, Glocker, Ben
Elasmobranchs (shark sand rays) represent a critical component of marine ecosystems. Yet, they are experiencing global population declines and effective monitoring of populations is essential to their protection. Underwater stationary videos, such as
Externí odkaz:
http://arxiv.org/abs/2407.20623
Publikováno v:
Open Access Journal of Sports Medicine, Vol Volume 15, Pp 197-208 (2024)
John L Grace, Meghan E Hancock, Madison L Malone, Bahman Adlou, Jerad J Kosek, Hannah R Houde, Christopher M Wilburn, Wendi H Weimar School of Kinesiology, Auburn University, Auburn, AL, USACorrespondence: John L Grace, School of Kinesiology, Auburn
Externí odkaz:
https://doaj.org/article/00323e6e67bf43869c7535159109063e
