Mar 15, 2018 · With the proposed 3-D attention model, video highlights can be accurately retrieved in spatial and temporal dimensions without human supervision ...
A novel three-dimensional (3-D) (spatial+temporal) attention model that can automatically localize the key elements in a video without any extra supervised ...
A novel 3D dimensional attention model was proposed, which can automatically localize the key elements in a video without any extra supervised annotations [23] ...
Nov 19, 2023 · Abstract—The video highlight detection task is to localize key elements (moments of user's major or special interest) in a video.
The video highlight detection task is to localize key elements (moments of user's major or special interest) in a video. Most of existing highlight ...
Nov 12, 2023 · Bibliographic details on Three-Dimensional Attention-Based Deep Ranking Model for Video Highlight Detection.
Particularly, we propose a category- independent deep video highlight detection model, which incorporates both spatial and temporal streams based on deep ...
The video highlight detection task is to localize key elements (moments of user's major or special interest) in a video. Most of the existing highlight ...
Missing: Three- | Show results with:Three-
Three-dimensional attention-based deep ranking model for video highlight detection. ... Highlight detection with pairwise deep ranking for first-person video ...
In this work, we propose casting weakly supervised video highlight detection modeling for a given specific event as a multiple instance ranking network (MINI- ...