基于云平台的视频信息分类挖掘研究  

Research on the Video Information Classification and Mining Based on the Cloud Platform

作　　者：陈芬[1] 彭玥[1] 

机构地区：[1]南京理工大学经济管理学院,江苏南京210094

出　　处：《情报理论与实践》2013年第12期110-113,共4页Information Studies:Theory & Application

基　　金：教育部人文社会科学研究项目"基于云平台的视频信息组织和挖掘研究"(项目编号:10YJC870001);中央高校基本科研业务费专项资金资助项目"基于多模式的视频信息结构和模式挖掘"(项目编号:30920130132010)的研究成果之一

摘　　要：随着视频资源的快速增长,视频挖掘已经成为计算机检索领域最热门的研究课题。海量的视频数据是现有信息处理技术的一大挑战,信息处理效率是视频组织和检索面临的一个难题。近年来,云计算技术得到了极大关注,云计算技术具有大规模、高扩展性等特点,为视频信息的高效组织提供了一个潜在的有效方法。文章基于云平台进行视频分类挖掘实验,重点进行卡通视频检测效果的改进以及不同平台运行效率的对比分析。With the rapid growth of video resources, video mining has become the most popular research topic in the computer retrieval field. The massive amount of video data has become a big challenge to the current information processing technology, and the information processing efficiency is a problem faced by video organization and retrieval. In recent years, cloud computing tech- nology has received great attention ; its advantages of large scale and high scalability provide a potential and effective way for high-ef- ficiency organization of video information. This paper conducts an experiment of video classification and mining based on the cloud platform, which focuses on the improvement of the cartoon video detection effectiveness and the comparative analysis of the operating efficiencies on different platforms.

关 键 词：视频分类 视频挖掘 云计算 云平台 视频组织 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]