基于内容的多媒体检索技术

Content-based multimedia retrieval technology

在对海量的多媒体数据进行检索时,传统的基于数值/字符的信息检索技术并不能满足要求。因此,基于内容的多媒体检索技术的研究应运而生,其检索的依据主要是多媒体的特征向量值,因此多媒体信息特别是图像的特征向量的组织直接影响到数据检索的效率。对基于内容的多媒体检索技术进行了研究,同时借鉴基于关键字的检索技术,引进了二叉排序树来组织图像的特征向量,利用二叉排序树算法进行特征向量值的检索,提高了图像检索的效率。

With the rapid increasing of image data,an effective and efficient multimedia retrieval system is needed for finding useful multimedia in large databases or on Internet.Because of the complexity of multimedia,the traditional information retrieval techniques,which are based on value and/or text comparison,are not sufficient.Then the research is shifted to the techniques of content-based multimedia retrieval,but the multimedia information construction limited the rate of the multimedia information retrieval.The multimedia retrieval technology is studied,retrieval technology based on keywords is referred,then an search tree is given to construct the multimedia eigenvector,which improves the rate of the information retrieval.