Video tagging systems based on DNNs
Need:
- With the ever-growth large-scale video in the mobile phone, so what will everyone get from these video? There are many videos contain something very interesting like a short comedy video. So if someone find something interesting in the video and want know more about it, they may not search it in the internet and find the information after watching this video due the poor memory. So if the advertiser have put some advertisements in the video ahead of time, it will be more convenient for the user to get some information. That’s very useful for the advertisers and the users.
- There are many videos in users’ phone. Maybe most of them are meaningful time mark. So someone want to look for some useful tools to tagging the meaningful object or want to know the object information. Then our video tagging systems will be very efficient for this work.
Approach:
- The video tagging project can be divided into two steps. The first one is the key frame localization. The second one is the object classification or object detection.
- The key frame localization can be realized by some conventional method like the HOG features split or some other method. This is a litter challenge because there is no very efficient way to get the really accuracy key frame. And I think it is a program optimization problem.
- The object classification can be realized by the deep convolutional neural network classifier or some other deep learning state-of-the-arts method. The problem is the labels may be not enough. So it can be a research problem.
Benefit:
- Everyone can be convenient to get some merchandise information by the tagged video which is processed by the mobile end application.
- Some people will summarize the meaningful moments and find some meaningful object.
Competitors:
There a video tagging system which has been released in the internet after my survey. The Website name is “Clarifai”. They can tag the video and get the object temporal information. And the classification accuracy is very high. So it is our main competitor.
10/18/2015
Fuchen Long
Video tagging systems based on DNNs的更多相关文章
- Video processing systems and methods
BACKGROUND The present invention relates to video processing systems. Advances in imaging technology ...
- Designing IP-Based Video Conferencing Systems: Dealing with Lip Synchronization(唇音同步)
转自:http://www.ciscopress.com/articles/article.asp?p=705533&seqNum=6 Correlating Timebases Using ...
- Modeling of Indoor Positioning Systems Based on Location Fingerprinting
Kamol Kaemarungsi and Prashant Krishnamurthy Telecommunications Program School of Information Scienc ...
- Video Target Tracking Based on Online Learning—TLD单目标跟踪算法详解
视频目标跟踪问题分析 视频跟踪技术的主要目的是从复杂多变的的背景环境中准确提取相关的目标特征,准确地识别出跟踪目标,并且对目标的位置和姿态等信息精确地定位,为后续目标物体行为分析提供足 ...
- Video Target Tracking Based on Online Learning—TLD多目标跟踪算法
TLD算法回顾 TLD(Tracking-Learning-Detection)是英国萨里大学的一个捷克籍博士生Zdenek Kalal在其攻读博士学位期间提出的一种新的单目标长时间(long ter ...
- Video Target Tracking Based on Online Learning—深度学习在目标跟踪中的应用
摘要 近年来,深度学习方法在物体跟踪领域有不少成功应用,并逐渐在性能上超越传统方法.本文先对现有基于深度学习的目标跟踪算法进行了分类梳理,后续会分篇对各个算法进行详细描述. 看上方给出的3张图片,它们 ...
- 自然语言15.1_Part of Speech Tagging 词性标注
QQ:231469242 欢迎喜欢nltk朋友交流 https://en.wikipedia.org/wiki/Part-of-speech_tagging In corpus linguistics ...
- 词性标注 parts of speech tagging
In corpus linguistics, part-of-speech tagging (POS tagging or POST), also called grammatical tagging ...
- (分享)视频压缩Free Video Compressor 汉化版/中文版【全网唯一】
介绍:Free Video Compressor 是一个免费视频压缩软件,可以帮您有效的压缩视频.电影文件的体积大小,减小占用的磁盘空间,使之更容易放到手机中保存播放Free Video Compre ...
随机推荐
- python浅学【网络服务中间件】之Celery
一.关于Celery: 什么是任务队列: 任务队列一般用于线程或计算机之间分配工作的一种机制. 任务队列的输入是一个称为任务的工作单元,有专门的工作进行不断的监视任务队列,进行执行新的任务工作. 什么 ...
- Java 访问修饰符大全详解
鉴于笔试面试总会遇到,决心仔细认真梳理一下: 1:涉及的关键字:public,default(表示缺省),protected,private,static,final,abstract. 2:关键字含 ...
- VScode+phpStudy搭建php代码调试环境
一.安装Visual Studio Code 官网:https://code.visualstudio.com/ 下载安装包后,按照默认安装即可 安装中文语言环境 点击左侧工具栏的 extension ...
- mysql事务提交和回滚机制
应用场景: 银行取钱,从ATM机取钱,分为以下几个步骤 1 登陆ATM机,输入密码: 2 连接数据库,验证密码: 3 验证成功,获得用户信息,比如存款余额等: 4 用 ...
- Transformers 简介(上)
作者|huggingface 编译|VK 来源|Github Transformers是TensorFlow 2.0和PyTorch的最新自然语言处理库 Transformers(以前称为pytorc ...
- thinkphp5源码剖析系列1-类的自动加载机制
前言 tp5想必大家都不陌生,但是大部分人都停留在应用的层面,我将开启系列随笔,深入剖析tp5源码,以供大家顺利进阶.本章将从类的自动加载讲起,自动加载是tp框架的灵魂所在,也是成熟php框架的必备功 ...
- 基于.NetCore3.1搭建项目系列 —— 使用Swagger导出文档 (番外篇)
前言 回顾之前的两篇Swagger做Api接口文档,我们大体上学会了如何在net core3.1的项目基础上,搭建一套自动生产API接口说明文档的框架. 本来在Swagger的基础上,前后端开发人员在 ...
- Pycharm 文件模板配置
Pycharm 模板配置 #!/usr/bin/python # -*- coding: UTF-8 -*- # Author:${USER} 作者 # FileName:${NAME} 文件名称 # ...
- 1000行MySQL学习笔记,不怕你不会,就怕你不学!
Windows服务 -- 启动MySQL net start mysql-- 创建Windows服务 sc create mysql binPath= mysqld_bin_path(注意:等号与值之
- wifi无线桥接
考虑到不同路由器配置上或许有细微差别,我此处路由器是水星(牌子)路由器. 首先需要2台路由器,一台已经能够上网,作为主路由器:另一台啥都没有配置,将来用作副路由器,与主路由器桥接. 步骤: 获取主路由 ...