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    • 1. 发明授权
    • Method and apparatus for transcoding multimedia using content analysis
    • 使用内容分析对多媒体进行代码转换的方法和装置
    • US06970602B1
    • 2005-11-29
    • US09413515
    • 1999-10-06
    • John R. SmithRakesh MohanChung-sheng Li
    • John R. SmithRakesh MohanChung-sheng Li
    • G06K9/36H04N7/26
    • H04N21/234336H04N19/12H04N19/17H04N19/186H04N19/40H04N21/25808H04N21/2662
    • A method and apparatus for selecting at least one transcoding method for manipulating multimedia data for delivery on the basis of analysis of the content of the multimedia data. Many possible transcoding operations can be performed on multimedia data to adapt it to constraints in delivery and display, processing and storage of client devices. The selection of specific transcoding operations can be made by first analyzing the features, purposes and relevances of the individual multimedia objects within the multimedia documents, then by selecting the transcoding alternatives according to the results of the analysis. Based on the analysis, different transcoding algorithms can be applied to different content, less than all of the content can be transcoded, groups of multimedia objects can be transcoded, etc.
    • 一种方法和装置,用于基于对多媒体数据的内容的分析来选择用于操纵用于传送的多媒体数据的至少一个代码转换方法。 可以对多媒体数据执行许多可能的代码转换操作,以使其适应于客户端设备的传送和显示,处理和存储的约束。 可以通过首先分析多媒体文档中的各个多媒体对象的特征,目的和相关性,然后通过根据分析结果选择代码转换替代来进行特定代码转换操作的选择。 基于分析,不同的代码转换算法可以应用于不同的内容,少于所有内容都可以进行转码,多媒体对象组可以转码等。
    • 2. 发明授权
    • Fundamental entity-relationship models for the generic audio visual data signal description
    • 通用视听数据信号描述的基本实体关系模型
    • US06847980B1
    • 2005-01-25
    • US09607974
    • 2000-06-30
    • Ana B. BenitezAlejandro JaimesShih-Fu ChangJohn R. SmithChung-sheng Li
    • Ana B. BenitezAlejandro JaimesShih-Fu ChangJohn R. SmithChung-sheng Li
    • G06F17/30
    • G06F17/30604G06F17/30017G06F17/30858Y10S707/913Y10S707/914Y10S707/916Y10S707/99945
    • An invention for generating standard description records from multimedia information. The invention utilizes fundamental entity-relation models for the Generic AV DS that classify the entities, the entity attributes, and the relationships in relevant types to describe visual data. It also involves classification of entity attributes into syntactic and semantic attributes. Syntactic attributes can be categorized into different levels: type/technique, global distribution, local structure, and global composition. Semantic attributes can be likewise discretely categorized: generic object, generic scene, specific object, specific scene, abstract object, and abstract scene. The invention further classifies entity relationships into syntactic/semantic categories. Syntactic relationship categories include spatial, temporal, and visual categories. Semantic relationship categories include lexical and predicative categories. Spatial and temporal relationships can be topological or directional; visual relationships can be global, local, or composition; lexical relationships can be synonymy, antonymy, hyponymy/hypernymy, or meronymy/holonymy; and predicative relationships can be actions (events) or states.
    • 一种用于从多媒体信息生成标准描述记录的发明。 本发明为通用AV DS使用基本实体关系模型,对实体进行分类,实体属性以及相关类型的关系来描述视觉数据。 它还涉及将实体属性分类为语法和语义属性。 语法属性可以分为不同的层次:类型/技术,全局分布,局部结构和全局组成。 语义属性可以同样地离散分类:通用对象,通用场景,特定对象,特定场景,抽象对象和抽象场景。 本发明进一步将实体关系分类为语义/语义类别。 句法关系类别包括空间,时间和视觉类别。 语义关系类别包括词汇和谓词类别。 空间和时间关系可以是拓扑或方向性; 视觉关系可以是全局,本地或组合; 词汇关系可以是同义词,antonymy,hyponymy / hypernymy,或meronymy / holonymy; 而谓词关系可以是行为(事件)或状态。