Mar 20, 2020 · This study proposes a video retargeting method using deep neural network-based object detection. First, the meaningful regions of the input video denoted by ...
The object detection-based video retargeting system consists ... This proves that temporal-spatial consistency was acquired compared to other existing methods.
Oct 22, 2024 · This study proposes a video retargeting method using deep neural network-based object detection. First, the meaningful regions of the input ...
This study proposes a video retargeting method using deep neural network-based object detection. First, the meaningful regions of the input video denoted by ...
Missing: Temporal | Show results with:Temporal
Object detection-based video retargeting with spatial– temporal consistency. IEEE Transactions on Circuits and. Systems for Video Technology, 30(12):4434 ...
Currently, as the mainstream methods, target detection based on deep learning is mainly divided into two categories, including two-stage detection methods and ...
Missing: Retargeting | Show results with:Retargeting
Sep 27, 2024 · In this paper, we propose a method that extends the query-based object detection model, DETR, to spatio-temporal action detection, which requires maintaining ...
We propose a spatiotemporal consistency-enhanced network (STCEN) to highlight the disturbances of abnormal data from both spatial and temporal aspects.
Missing: Retargeting | Show results with:Retargeting
As for post-processing-based methods, they optimize the detection result through the spatio-temporal consistency of the video target. When the image quality ...
Missing: Retargeting | Show results with:Retargeting
Kang, “Object Detection-based Video Retargeting with Spatial-Temporal Consistency”, IEEE Transactions on Circuits and Systems for Video Technology, vol.30 ...