Video pooling computes video representation over the whole video by pooling all the descriptors from all the frames in a video. 在基于多个独立帧和局部时间描述子的视频表示中,常常需要把视频的所有帧的描述子进行pooling来表示整个视频. Video Pooling的idea是encoding局部描述子,实现的手段是:使用Fisher向量,或者VLAD(Locally…

A Discriminative CNN Video Representation for Event Detection Note here: it's a learning note on the topic of video representation, based on the paper below. Link: http://arxiv.org/pdf/1411.4006v1.pdf Motivation: The use of improved Dense Trajectorie…

This article come from HEREARS-L1: Learning Tuesday 10:30–12:30; Oral Session; Room: Leonard de Vinci 10:30  ARS-L1.1—GROUP STRUCTURED DIRTY DICTIONARY LEARNING FOR CLASSIFICATION Yuanming Suo, Minh Dao, Trac Tran, Johns Hopkins University, USA; Hojj…

AdaScale: Towards real-time video object detection using adaptive scaling 2019-02-18 16:14:17 Paper: https://www.sysml.cc/papers.html 本文提出一种新的技术,AdaScale,来改善视频中物体检测的尺度问题,在提升速度的同时,改善了精度. 作者的实验发现在降低图像分辨率的时候,部分图像的识别精度就会得到改善,并且给出了结果展示: 那么是什么原因导致这种情况呢?作者给…

3D CNN for Video Processing Updated on 2018-08-06 19:53:57 本文主要是总结下当前流行的处理 Video 信息的深度神经网络的处理方法． 参考文献: 1. 3D Convolutional Neural Networks for Human Action Recognition   T-PAMI 2013 2. Learning Spatiotemporal Features with 3D Convolutional Networks …

For image classification tasks, a common choice for convolutional neural network (CNN) architecture is repeated blocks of convolution and max pooling layers, followed by two or more densely connected layers. The final dense layer has a softmax activa…

Collaborative Spatioitemporal Feature Learning for Video Action Recognition 摘要 时空特征提取在视频动作识别中是一个非常重要的部分.现有的神经网络模型要么是分别学习时间和空间特征(C2D),要么是不加控制地联合学习时间和空间特征(C3D). 作者提出了一个新颖的neural操作,它通过在可学习的参数上添加权重共享约束来将时空特征encode collaboratively. 特别地,作者沿着体积视频数据的三个正交视图进行…

Video Architecture Search 2019-10-20 06:48:26 This blog is from: https://ai.googleblog.com/2019/10/video-architecture-search.html Posted by Michael S. Ryoo, Research Scientist and AJ Piergiovanni, Student Researcher, Robotics at Google Video understa…

Research Guide for Video Frame Interpolation with Deep Learning This blog is from: https://heartbeat.fritz.ai/research-guide-for-video-frame-interpolation-with-deep-learning-519ab2eb3dda In this research guide, we’ll look at deep learning papers aime…

视频描述 顾名思义视频描述是计算机对视频生成一段描述,如图所示,这张图片选取了一段视频的两帧,针对它的描述是"A man is doing stunts on his bike",这对在线的视频的检索等有很大帮助.近几年图像描述的发展也让人们思考对视频生成描述,但不同于图像这种静态的空间信息,视频除了空间信息还包括时序信息,同时还有声音信息,这就表示一段视频比图像包含的信息更多,同时要求提取的特征也就更多,这对生成一段准确的描述是重大的挑战. 一.long-term Recurrent…