隐性媒体知识

Muy-Chu Ly, Alexis Germaneau, O. Martinot
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引用次数: 1

摘要

近年来,随着新技术的出现,视觉媒体(如图像、照片、视频等)的数量呈指数级增长。随着FaceBook、MySpace、Flickr等社交网络的出现,这些媒体大多在网络上共享……媒体提取和索引问题成为一个大问题,因为从数百万媒体中高效检索正确的媒体的需求变得越来越迫切。首先,我们将概述一些现有的视觉媒体索引/检索系统及其相关的局限性/改进。其次,我们将提出一种新的方法来毫不费力地改进媒体索引/检索:它基于对媒体使用情况的分析(通过隐含的用户对媒体的操作),以便用相关信息丰富媒体。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implicit Media Knowledge
These years, the number of visual media (e.g. images, photos, videos…) is exponentially increasing with the apparition of new technologies. Most of these media are shared on the Web with the apparition of social networks such as FaceBook, MySpace, Flickr… The problem related to the media extraction and indexing is become a big issue as the need is become primordial to efficiently retrieve the right media among millions of media. Firstly, we will present an overview of some existing visual media indexing/retrieval systems and its related limitations/improvements. Secondly, we will present a new way to improve media indexing/retrieval without effort: it is based on the analysis of media usage (via implicit user actions on media) in order to enrich media with pertinent information.
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