首页> 外国专利> Utility function prediction apparatus for real-time multimedia contents transcoding, and multimedia contents transcoding access system using it

Utility function prediction apparatus for real-time multimedia contents transcoding, and multimedia contents transcoding access system using it

机译:用于实时多媒体内容代码转换的效用功能预测装置以及使用该功能预测装置的多媒体内容代码转换访问系统

摘要

1. The art that the invention described in the claims ; The present invention. Will about the utility function prediction devices and multimedia content adaptation system using the same approach for real-time multimedia content adaptation ; 2. In order to solve the technical problem that this invention ; The present invention is best adapted structured multimedia content (preferably a video adaptation), compressed metadata (that is to describe the relationship between the limited resources and quality of multimedia content from utility function (uility function)) intended to provide information to the utility function prediction device that can produce predictable. ; 3. Solution subject matter of the invention ; The present invention, according to a utility function of the prediction unit in a multimedia environment, the incoming compressed live multimedia content and stores the compressed information feature extraction means for extracting feature information from the multimedia content ; Multimedia content, clips (segment) and, every time information describing a plurality of feature information for each feature vector, calculation and generation of a utility function, a group described utility function storage unit that stores the vector by experimentation with a uniform information; Clustering means for classification in the storage means, the class consisting of the contents characteristics vector of a number of similar clips in the feature space information (class); In the storage means, the class information and the content characteristic vector, the utility function using a regression learning means for obtaining a regression vector (regression) models within each class; Learning means for classification into one classification (classification) of the determined class in the feature according to the content using the content characteristic vector and the class information of the storage means; Receiving information, characterized in that the definition of the input segments in accordance with the classification rule obtained by the learning means learning result of the classification, the classification determining means for determining one of a number of classes obtained from the above; And by applying the regression model obtained from the regression learning means for the class determined by the classification determining means, the multimedia content clip utility functions (restricted resources and metadata describing the relationship information of the picture quality) to the (segment) including a utility function generating means for generating prediction. ; 4. An important use ; THE INVENTION The present invention used to fight and multimedia content adaptation system.
机译:1.本发明在权利要求中描述的技术;本发明。将关于效用功能预测装置和多媒体内容适配系统采用相同的方法进行实时多媒体内容适配; 2.为了解决本发明的技术问题;本发明是旨在向实用功能提供信息的最佳适应的结构化多媒体内容(最好是视频适应),压缩的元数据(即描述来自实用功能(实用功能)的有限资源与多媒体内容质量之间的关系)。可以产生可预测的预测设备。 ; 3.本发明的解决方案主题;根据多媒体环境中预测单元的效用功能,本发明输入压缩的实况多媒体内容,并存储用于从多媒体内容中提取特征信息的压缩信息特征提取装置;多媒体内容,片段(段),以及每次描述用于每个特征向量的多个特征信息的信息,效用函数的计算和生成的分组描述的效用函数存储单元,其通过试验统一的信息来存储矢量;用于在存储装置中进行分类的聚类装置,该类别由特征空间信息中的多个相似片段的内容特征矢量组成(类别);在存储装置,类别信息和内容特征向量中,使用回归学习装置的效用函数来获得每个类别内的回归向量(regression)模型;使用内容特征向量和存储装置的类别信息,根据内容将特征分类为特征中所确定的类别的一种分类(分类)的学习装置;接收信息,其特征在于,根据由学习装置获得的分类规则获得的分类规则对输入段的定义,所述分类确定装置用于确定从上述获得的多个类别之一;并且通过将从回归学习装置获得的回归模型应用于由分类确定装置确定的类别,多媒体内容剪辑效用函数(描述图片质量的关系信息的受限资源和元数据)被应用于包括效用的(段)。函数产生装置,用于产生预测。 ; 4.重要用途;发明内容本发明用于战斗和多媒体内容适配系统。

著录项

  • 公开/公告号KR100638739B1

    专利类型

  • 公开/公告日2006-10-25

    原文格式PDF

  • 申请/专利权人

    申请/专利号KR20040035265

  • 发明设计人 왕용;김재곤;창시푸;

    申请日2004-05-18

  • 分类号H04L12/28;

  • 国家 KR

  • 入库时间 2022-08-21 21:22:46

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