For developing methods to cope with video action recognition, we need temporally represented video information. For this reason, we propose a new temporal segment representation to formalize the video scenes as temporal information. The representation is fundamentally based on the optical flow vectors ...
@inproceedings{liu2014steadyflow, title={Steadyflow: Spatially smooth optical flow for video stabilization}, author={Liu, Shuaicheng and Yuan, Lu and Tan, Ping and Sun, Jian}, booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition}, pages={4209--4216}, year={...
This example first shows how to perform activity recognition using a pretrained Inflated 3-D (I3D) two-stream convolutional neural network based video classifier and then shows how to use transfer learning to train such a video classifier using RGB and optical flow data from videos [1]....
However, LR optical flows are used in existing deep learning based methods for correspondence generation. In this paper, we propose an end-to-end trainable video SR framework to super-resolve both images and optical flows. Specifically, we first propose an optical flow reconstruction network (OFR...
SteadyFlow: Spatially Smooth Optical Flow for Video Stabilization,程序员大本营,技术文章内容聚合第一站。
Video super resolution using duality based TV-L1 optical flow,鈥Pattern Recognition In this paper, we propose a variational framework for computing a superresolved image of a scene from an arbitrary input video. To this end, we employ a recently proposed quadratic relaxation scheme for high accura...
<p indent="0mm">Combining the deep learning model to compute end-to-end optical flow is a hot topic in current computer vision field. The optical flow estimation methods based on deep learning are summarized and reviewed. Firstly, the origin and concept
Aimed at that there is often a video paragraph of human body's reciprocating motion in the pornographic videos, a novel method of pornographic videos detection is proposed. On the basis of calculating the optical flow field, we extract the characteristics points of the moving target, and classify...
Optical flow is the distribution of the apparent velocities of objects in an image. By estimating optical flow between video frames, you can measure the velocities of objects in the video. In general, moving objects that are closer to the camera will display more apparent motion than distant ob...
Deepfake Video Detection through Optical Flow based CNN Irene Amerini♦, Leonardo Galteri♦, Roberto Caldelli♦♣, Alberto Del Bimbo♦ ♦Media Integration and Communication Center (MICC), University of Florence, Florence, Italy ♣National Inter-University Consortium ...