Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Sharghi, Aidean"'
Semantic segmentation and activity classification are key components to creating intelligent surgical systems able to understand and assist clinical workflow. In the Operating Room, semantic segmentation is at the core of creating robots aware of cli
Externí odkaz:
http://arxiv.org/abs/2407.05448
Automatic surgical activity recognition enables more intelligent surgical devices and a more efficient workflow. Integration of such technology in new operating rooms has the potential to improve care delivery to patients and decrease costs. Recent w
Externí odkaz:
http://arxiv.org/abs/2207.03083
Activity recognition in surgical videos is a key research area for developing next-generation devices and workflow monitoring systems. Since surgeries are long processes with highly-variable lengths, deep learning models used for surgical videos ofte
Externí odkaz:
http://arxiv.org/abs/2205.02805
Publikováno v:
european conference on computer vision, ECCV 2022; MCV
Algorithmic surgical workflow recognition is an ongoing research field and can be divided into laparoscopic (Internal) and operating room (External) analysis. So far many different works for the internal analysis have been proposed with the combinati
Externí odkaz:
http://arxiv.org/abs/2203.09230
Automatic recognition of surgical activities in the operating room (OR) is a key technology for creating next generation intelligent surgical devices and workflow monitoring/support systems. Such systems can potentially enhance efficiency in the OR,
Externí odkaz:
http://arxiv.org/abs/2006.16166
Mass utilization of body-worn cameras has led to a huge corpus of available egocentric video. Existing video summarization algorithms can accelerate browsing such videos by selecting (visually) interesting shots from them. Nonetheless, since the syst
Externí odkaz:
http://arxiv.org/abs/2005.03804
It is now much easier than ever before to produce videos. While the ubiquitous video data is a great source for information discovery and extraction, the computational challenges are unparalleled. Automatically summarizing the videos has become a sub
Externí odkaz:
http://arxiv.org/abs/1807.10957
A major emerging challenge is how to protect people's privacy as cameras and computer vision are increasingly integrated into our daily lives, including in smart devices inside homes. A potential solution is to capture and record just the minimum amo
Externí odkaz:
http://arxiv.org/abs/1801.03983
Recent years have witnessed a resurgence of interest in video summarization. However, one of the main obstacles to the research on video summarization is the user subjectivity - users have various preferences over the summaries. The subjectiveness ca
Externí odkaz:
http://arxiv.org/abs/1707.04960
Video data is explosively growing. As a result of the "big video data", intelligent algorithms for automatic video summarization have re-emerged as a pressing need. We develop a probabilistic model, Sequential and Hierarchical Determinantal Point Pro
Externí odkaz:
http://arxiv.org/abs/1607.05177