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    • 2. 发明申请
    • GENERATION OF ANNOTATION TAGS BASED ON MULTIMODAL METADATA AND STRUCTURED SEMANTIC DESCRIPTORS
    • 基于多元元数据和结构化语义描述符的语义标签的生成
    • WO2010085186A1
    • 2010-07-29
    • PCT/SE2009/050060
    • 2009-01-21
    • TELEFONAKTIEBOLAGET L M ERICSSON (PUBL)SÖDERBERG, JoakimFASBENDER, AndreasBJÖRK, Jonas
    • SÖDERBERG, JoakimFASBENDER, AndreasBJÖRK, Jonas
    • G06F17/24G06F17/30G06K9/00H04N1/32
    • G06F17/3028G06F17/30265
    • In one embodiment, a method of generating annotation tags (28) for a digital image (22) includes maintaining a library (16) of human-meaningful words or phrases organized as category entries (72) according to a number of defined image description categories (70), and receiving context metadata (20) associated with the capture of a given digital image (22). The method further includes selecting particular category entries (72-1, 72-2) as vocabulary metadata (24) for the digital image (22) by mapping the context metadata (20) into the library (16), and generating annotation tags (28) for the digital image (22) by logically combining the vocabulary metadata (24) according to a defined set of deductive logic rules (30) that are predicated on the defined image description categories (70). In another embodiment, a processing apparatus (12), such as a digital processor (18, 26) and supporting memory (14), etc., is configured to carry out the above method, or to carry out variations of the above method.
    • 在一个实施例中,生成用于数字图像(22)的注释标签(28)的方法包括根据定义的图像描述类别的数量来维护被组织为类别条目(72)的人类有意义的单词或短语的库(16) (70),以及接收与捕获给定数字图像(22)相关联的上下文元数据(20)。 该方法还包括通过将上下文元数据(20)映射到库(16)中,并且生成注释标签(22)来选择特定类别条目(72-1,72-2)作为数字图像(22)的词汇元数据(24) 通过根据定义的所述规定的图像描述类别(70)的规定的演绎逻辑规则集合(30)逻辑地组合所述词汇元数据(24)来获得所述数字图像(22)。 在另一个实施例中,诸如数字处理器(18,26)和支持存储器(14)等的处理设备(12)被配置为执行上述方法,或者执行上述方法的变型。
    • 9. 发明申请
    • A METHOD AND APPARATUS FOR SOCIAL TAGGING OF MEDIA FILES
    • 媒体文件社会标签的方法与装置
    • WO2011084092A1
    • 2011-07-14
    • PCT/SE2010/050013
    • 2010-01-08
    • TELEFONAKTIEBOLAGET L M ERICSSON (PUBL)SÖDERBERG, JoakimGEORGAKIS, ApostolosBJÖRK, Jonas
    • SÖDERBERG, JoakimGEORGAKIS, ApostolosBJÖRK, Jonas
    • G06F17/30
    • G06F17/30038G06Q10/10G06Q50/01
    • Media tagging is significantly improved by fusing subjective, user-specific tags with collaborative, community-based tags. Users share multimedia metadata tags in a network of users, to improve automatic tag generation for personal multimedia collections without compromising media privacy. In one method, a combined set of annotation tags is suggested to a user, for use in annotating a given media file. The combined set includes a first set drawn from a private, user-specific repository, and a second set drawn from a public, shared repository. In each case, determining which tags are suggested involves computing similarities between an attribute vector associated with the media file being tagged and attribute vectors associated with the tags. An attribute vector is a set of values representing given types of contextual metadata. The similarity determinations may be weighted according to user-specific and shared weights, and these weightings can be adapted to reflect user and community preferences.
    • 通过将主观用户特定的标签与协作的基于社区的标签进行融合,可以显着提高媒体标记。 用户在用户网络中共享多媒体元数据标签,以改善个人多媒体集合的自动标签生成,而不会影响媒体隐私。 在一种方法中,向用户建议一组组合的注释标签,用于注释给定的媒体文件。 组合集合包括从私有的,用户特定的存储库中绘制的第一集合,以及从公共共享存储库中绘制的第二集合。 在每种情况下,确定哪些标签被建议涉及计算与被标记的媒体文件相关联的属性向量与与标签相关联的属性向量之间的相似性。 属性向量是表示给定类型的上下文元数据的一组值。 相似性确定可以根据用户特定和共享权重来加权,并且这些权重可以被调整以反映用户和社区偏好。