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
- Swagger2在DBA Service中生成RESTful API的实践
目的与背景: 目的:对外暴露DBA Service必要的RESTful API,形成规整的API文档 背景:DBA Service后端采用Spring-boot,属于Spring家族,故生成API的工 ...
- Jmeter4.0接口测试之案例实战(七)
在前面的知识体系中介绍了Jmeter的基本应用,下来通过具体的案例来看Jmeter在接口测试中的具体案例实战部分. HTTP是基于应用层的协议,底层的网络传输层它不需要去关心,同时它是一个无状态的协议 ...
- spring-cloud-gateway静态路由
为什么引入 API 网关 使用 API 网关后的优点如下: 易于监控.可以在网关收集监控数据并将其推送到外部系统进行分析. 易于认证.可以在网关上进行认证,然后再将请求转发到后端的微服务,而无须在每个 ...
- 初始化一个vue项目
1.安装node 端开发框架和环境都是需要 Node.js ,先安装node.js开发环境,vue的运行是要依赖于node的npm的管理工具来实现,下载https://nodejs.org/en/,安 ...
- SubLime Text3 常用插件总结
近来开始恶补前端知识,在一定的技能基础上,逐渐开始进阶的学习和使用.因此在这里罗列下,SubLime Text3 常用插件: 1.Emmet 提高HTML & CSS3编写速度. 2.Them ...
- HBase Shell Get 操作常用小技巧
在工作中,有时候只是想简单看下HBase表某些关键指标的值,这个时候总不能现写Java代码去查看,以下几个小技巧你可能会经常用到. 1. 某行有许多列,只想获取指定2~3列的数据 hbase> ...
- Spring的IOC容器学习笔记
(一)Spring的IOC学习 在applicationContext.xml来配置bean,通过该接口,在主程序中,可以指定初始化的对象,不需要在进行赋值操作,直接在xml里配置好. 接下来分享的是 ...
- 看完这篇Exception 和 Error,和面试官扯皮就没问题了
在 Java 中的基本理念是 结构不佳的代码不能运行,发现错误的理想时期是在编译期间,因为你不用运行程序,只是凭借着对 Java 基本理念的理解就能发现问题.但是编译期并不能找出所有的问题,有一些 N ...
- 实验四 数据查询3-group by等
实验四 数据库查询 一. 实验内容: 1. Group by语句 2. Having 语句 3. Order by语句 4. Limit语句 5. Union语句 6. Handler语句 二. ...
- Java 添加、读取和删除 Excel 批注
批注是一种富文本注释,常用于为指定的Excel单元格添加提示或附加信息. Free Spire.XLS for Java 为开发人员免费提供了在Java应用程序中对Excel文件添加和操作批注的功能. ...