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    • 1. 发明授权
    • Data embedding scheme with error diffusion
    • 具有误差扩散的数据嵌入方案
    • US06404899B1
    • 2002-06-11
    • US09346104
    • 1999-07-01
    • Saurabh AgarwalAlok AggarwalHarpal Singh BassaliJatin ChhuganiPradeep Kumar Dubey
    • Saurabh AgarwalAlok AggarwalHarpal Singh BassaliJatin ChhuganiPradeep Kumar Dubey
    • G06K900
    • G06T1/0057G06T1/0028G06T2201/0061
    • A method for data embedding in a digital image under the constraint of a pre-specified upper bound value on the amount of change in the value of a property associated with the image. For compression tolerant data hiding in digital images, a property is selected in which the required information can be embedded. The property should be such that the value obtained from the property before and after a lossy compression does not change by a significant amount, and the change should be bounded. The property should be such that a property value as obtained from the image will not vary due to compression, but only due to malicious tampering. The value obtained from the property is stored so that the image can be verified. The complete image is considered in deciding whether to increase or decrease the property value in a particular region. The method also takes into account the fact that blocks having values of 0 or L, corresponding to the minimum and maximum property values, respectively, are incapable of change in a particular region. The method also attempts to vary even the checksum (stored information), in addition to modifying the image so that the net resultant checksum and the modified image coincide with each other.
    • 一种用于在预先指定的上限值的约束下数字嵌入数字图像的方法,该方法是与图像相关联的属性的值的变化量。 对于隐藏在数字图像中的压缩容忍数据,选择可以嵌入所需信息的属性。 财产应该是从有损压缩之前和之后的财产获得的价值不会有大量的变化,变化应该是有限的。 属性应该使得从图像获得的属性值不会因压缩而变化,而只是由于恶意篡改。 存储从属性获得的值,以便可以验证图像。 在决定是否增加或减少特定区域中的属性值时考虑完整的图像。 该方法还考虑到具有对应于最小和最大属性值的值为0或L的块在特定区域中不能改变的事实。 除了修改图像之外,该方法还尝试改变校验和(存储的信息),使得净结果校验和和修改的图像彼此一致。
    • 2. 发明授权
    • Compression-tolerant watermarking scheme for image authentication
    • 图像认证的压缩容忍水印方案
    • US06246777B1
    • 2001-06-12
    • US09273055
    • 1999-03-19
    • Saurabh AgarwalAlok AggarwalHarpal Singh BassaliJatin ChhuganiPradeep Kumar Dubey
    • Saurabh AgarwalAlok AggarwalHarpal Singh BassaliJatin ChhuganiPradeep Kumar Dubey
    • G06K900
    • G06T1/0057G06T2201/0051
    • A verification system for still images that embeds a watermark so that no visual artifacts are created in the images and thus maintains the visual quality of the image. The algorithm embeds information in an uncompressed image so as to later detect the alteration of the image, as well as the location of the alteration. The embedding of information into a source image is based on a defined mapping process. An image plane consists of macroblocks, which are themselves comprised of microblocks. A code is embedded corresponding to the value of this image property in each macroblock. The specific sequence of microblocks used for embedding this information in the watermarking image plane is a unique function of this property for the corresponding set of microblocks in the indexing image plane. This information can be later decoded from the stamped image. The watermark is embedded by combining the pixel values of the image with the watermark. The watermark is altered if the image is altered.
    • 用于嵌入水印的静止图像的验证系统,使得在图像中不产生视觉伪影,从而保持图像的视觉质量。 该算法将信息嵌入到未压缩图像中,以便稍后检测图像的改变以及改变的位置。 将信息嵌入到源图像中是基于定义的映射过程。 图像平面由宏块组成,宏块本身由微块组成。 在每个宏块中嵌入与该图像属性的值相对应的代码。 用于将该信息嵌入水印图像平面中的微块的特定序列是该索引图像平面中相应的微块集合的该属性的唯一函数。 该信息可以稍后从加盖的图像中解码。 通过将图像的像素值与水印相结合来嵌入水印。 如果图像被改变,则改变水印。
    • 4. 发明授权
    • Method for controlled and meaningful shape modifications
    • 控制和有意义的形状修改的方法
    • US06625330B1
    • 2003-09-23
    • US09516142
    • 2000-03-01
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • Pradeep Kumar DubeySugata GhosalAshutosh KulshreshthaAbhinanda Sarkar
    • G06K932
    • G06K9/6204
    • A method of doing meaningful modifications on an image is presented. These modifications can then be used in variety of applications related to image shape manipulation and similar shape retrieval. The method extracts macrofeatures and microfeature from a given shape. Deformations are done on the macrofeatures only. These deformations are either predefined, or are taken from a deformation library, or are calculated from the shape itself, The microfeatures are then added to the deformed macrofeatures to get a deformed shape. The shape deformations then allow user's perception of shape similarity to be learned, which is reflected in the values of parameters in a parameterized shape similarity metric. The user can use one of the deformed shapes as the initial query point, instead of the shape he or she started with. The shape database compression is achieved by storing only the identification of a similar shape and value of global deformations which will generate this shape approximately, instead of storing every shape feature individually.
    • 提出了对图像进行有意义的修改的方法。 然后,这些修改可用于与图像形状操纵和类似形状检索有关的各种应用。 该方法从给定的形状提取宏特征和微特征。 变形仅在宏观特征上进行。 这些变形是预定义的,或者是从变形库中获取的,或者是根据形状本身计算的。然后将微特征加到变形的宏观特征中以得到变形的形状。 形状变形然后允许用户对形状相似度的感知被学习,这反映在参数化形状相似性度量中的参数值中。 用户可以使用其中一个变形的形状作为初始查询点,而不是他或她开始的形状。 形状数据库压缩是通过仅存储将产生该形状的全局变形的类似形状和值的识别来实现的,而不是分别存储每个形状特征。
    • 7. 发明授权
    • Clustering data including those with asymmetric relationships
    • 聚类数据,包括具有不对称关系的数据
    • US06925460B2
    • 2005-08-02
    • US09815616
    • 2001-03-23
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • Krishna KummamuruRaghuram KrishnapuramPradeep Kumar Dubey
    • G06F7/00G06F17/30
    • G06F17/30719G06F17/3071Y10S707/99933Y10S707/99935
    • The present invention relates to a method, system and computer program product for clustering data points and its application to text summarization, customer profiling for web personalization and product cataloging.The method for clustering data points with defined quantified relationships between them comprises the steps of obtaining lead value for each data point either by deriving from said quantified relationships or as given input, ranking each data point in a lead value sequence list in descending order of lead value, assigning the first data point in said lead value sequence list as the leader of the first cluster, and considering each subsequent data point in said lead value sequence list as a leader of a new cluster if its relationship with the leaders of each of the previous clusters is less than a defined threshold value or as a member of one or more clusters where its relationship with the cluster leader is more than or equal to said threshold value. The said relationships between data points are symmetric or asymmetric. Similarly, system and computer program product have also been claimed.
    • 本发明涉及用于聚类数据点的方法,系统和计算机程序产品及其应用于文本摘要,用于web个性化和产品编目的客户分析。 用于对其中具有定义的量化关系的数据点进行聚类的方法包括以下步骤:通过从所述量化关系导出或作为给定输入来获取每个数据点的引导值,以引导值序列表中的每个数据点按铅的降序排列 将所述引导值序列列表中的第一数据点分配为第一簇的引导符,并且如果其与每个的引导者的关系,则将所述引导值序列列表中的每个后续数据点视为新簇的引导者 先前的簇小于定义的阈值,或作为其与簇首的关系大于或等于所述阈值的一个或多个簇的成员。 数据点之间的关系是对称的或不对称的。 类似地,系统和计算机程序产品也被要求。
    • 9. 发明授权
    • Interactive framework for understanding user's perception of multimedia data
    • 用于了解用户对多媒体数据的感知的交互框架
    • US06408293B1
    • 2002-06-18
    • US09328968
    • 1999-06-09
    • Gaurav AggarwalPradeep Kumar DubeySugata GhosalAshutosh KulshreshthaTumkur Venkatanarayana Rao Ravi
    • Gaurav AggarwalPradeep Kumar DubeySugata GhosalAshutosh KulshreshthaTumkur Venkatanarayana Rao Ravi
    • G06F1730
    • G06F17/30256Y10S707/99933Y10S707/99935Y10S707/99943
    • A methodology of highly interactive intra-object relevance feedback is used to retrieve multimedia data from a database. The query object could consist of one or more images, images derived from video, a video sequence, or an audio clip. The query is adjusted using the information fed-back by the user about the relevance of previously extracted part(s) from the object itself, such that the adjusted query is a better approximation to the user's perception. The information fed-back by the user during intra-query modification is used for intra-object learning of the user's perception. The refined query is subsequently used for inter-object relevance feedback where data is retrieved from the database based on parameters learnt by intra-query object feedback mechanism, and the user provides feedback by ranking the retrieved objects in order of their relevance to him or her. In the system according to the invention, inter-object learning of user's perception is expedited by utilizing the learnt parameters in the intra-object relevance feedback. Furthermore, the methodology of the invention allows for building refined queries based on part(s) or sub-sequence(s) of the query object rather than the entire object itself, thereby reducing the number of irrelevant objects, retrieved from the database. The methodology allows synthesis and modification of the input query object itself in the event a query object is not directly available, and, also to learn the user's perception.
    • 高度交互的对象内相关反馈的方法用于从数据库检索多媒体数据。 查询对象可以包括一个或多个图像,从视频,视频序列或音频剪辑导出的图像。 使用用户反馈的关于先前提取的部分与对象本身的相关性的信息来调整查询,使得经调整的查询更好地逼近用户的感知。 用户在查询修改期间反馈的信息用于用户感知的对象内学习。 精确查询随后用于对象间相关性反馈,其中基于由查询内对象反馈机制学习的参数从数据库检索数据,并且用户按照与他或她的相关性的顺序对所检索的对象进行排序来提供反馈 。 在根据本发明的系统中,通过利用对象内相关性反馈中的学习参数来加快用户感知的对象间学习。 此外,本发明的方法允许基于查询对象的部分或子序列而不是整个对象本身构建精简查询,从而减少从数据库检索的不相关对象的数量。 该方法允许在查询对象不直接可用的情况下对输入查询对象本身进行合成和修改,还可以了解用户的感知。