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    • 132. 发明申请
    • Economically secure digital mass media systems
    • 经济安全的数字大众媒体系统
    • US20060015713A1
    • 2006-01-19
    • US10861317
    • 2004-06-03
    • Geoffrey Rhoads
    • Geoffrey Rhoads
    • H04L9/00
    • G06F21/16G11B20/00086G11B20/18
    • Content is encoded with a watermark that associates it with a particular consumer. When presented for playback, the rendering equipment examines the watermark to confirm that the consumer with whom the content is associated, is also the consumer with whom the equipment is associated. If there is no watermark—or if the watermark is associated with a different consumer, then playback is refused. The equipment also desirably checks whether the content has a second watermark (or even a very feeble remnant thereof), indicating that the content has been derived from content earlier provided to a different consumer. If so, playback is again refused. Thus, this embodiment will refuse to play if there is no watermark; if there is one watermark not associated with the proprietor of the equipment; or if there are two or more watermarks.
    • 内容使用与特定消费者相关联的水印进行编码。 当呈现回放时,渲染设备检查水印以确认与内容相关联的消费者也是与设备相关联的消费者。 如果没有水印 - 或者如果水印与不同的消费者相关联,则播放被拒绝。 该设备还期望检查内容是否具有第二水印(或甚至是非常微弱的残余),表明内容已经从提供给不同消费者的内容导出。 如果是这样,播放再次被拒绝。 因此,如果没有水印,本实施例将拒绝播放; 如果有一个与设备所有者无关的水印; 或者如果有两个或更多个水印。
    • 139. 发明授权
    • Watermark detection utilizing regions with higher probability of success
    • US06442284B1
    • 2002-08-27
    • US09302663
    • 1999-04-30
    • Ammon GustafsonGeoffrey RhoadsAdnan V. AlattarRavi K. SharmaClay Davidson
    • Ammon GustafsonGeoffrey RhoadsAdnan V. AlattarRavi K. SharmaClay Davidson
    • G06K900
    • G06T1/0078
    • The present invention detects the presence of a watermark in-an image by using a multi-step process. First, the image is examined to determine which regions of the image have characteristics such that there is a high probability that a watermark signal can be detected in that region of the image. Next the regions that have a high probability that a watermark can be detected (in contrast to all regions of the image) are examined to find watermark data. In order to determine the probability of finding watermark data in a particular region of an image, the amount of “variance” in the intensity of the pixels in the region is first examined. For example a region that is entirely white or entirely black has zero variance in luminance. Such a region can not carry watermark data, hence regions with zero or low variance can be eliminated from further processing. Furthermore, if a high variance in a region is a result of the fact that the region has an abrupt border or edge between two highly contrasting regions, the high variance does not indicate a high probability that a watermark signal will be detected in the region. Therefore, after regions with high variance are located, these regions are next examined to look for regions with high edginess spread. Finally, regions with the high variance and high edginess spread are selected for further processing to detect watermark data. For those regions selected for further processing, the detection process can be enhanced by filtering the data with a two step process to increase the signal to noise ratio of the watermark signal. First a high pass filter (e.g. a Laplacian operator) is applied to each region. This filtering operation in effect established a new intensity value for each pixel in the region. Next a nonlinear operator (e.g. a signum function) is applied to the output from the first filter operation. The resulting data is examined to detect watermark data.