Action parsing using context features. (arXiv:2205.10008v1 [cs.CV])

We propose an action parsing algorithm to parse a video sequence containing
an unknown number of actions into its action segments. We argue that context
information, particularly the temporal information about other actions in the
video sequence, is valuable for action segmentation. The proposed parsing
algorithm temporally segments the video sequence into action segments. The
optimal temporal segmentation is found using a dynamic programming search
algorithm that optimizes the overall classification confidence score. The
classification score of each segment is …

arxiv context cv features parsing