Zero configuration networking on a subnetted network

    公开(公告)号:US10091065B1

    公开(公告)日:2018-10-02

    申请号:US13286121

    申请日:2011-10-31

    摘要: Methods and apparatus are described for implementing service discovery protocols on subnetted zero configuration networks. A process for managing service advertisement across a plurality of subnets may comprise: collecting service advertisements on a local network level by designated network devices; sending listings of services from each of the designated devices to a master network device; sending a table of services for the plurality of subnets from the master device to all of the designated devices on the plurality of subnets; creating by each of the designated network devices for the corresponding subnet a service discovery proxy table listing the service advertisements on the subnets of the plurality of subnets beyond the subnet corresponding to the designated device; and periodically transmitting by each of the designated devices on the corresponding subnets service advertisements for the services of the corresponding service discovery proxy table.

    Image quality assessment
    9.
    发明授权

    公开(公告)号:US09613258B2

    公开(公告)日:2017-04-04

    申请号:US14000244

    申请日:2012-02-20

    IPC分类号: G06K9/62 G06K9/00 G06K9/03

    摘要: This disclosure concerns image quality assessment. In particular, there is described a computer implemented method, software, and computer for assessing the quality of an image. For example but not limited to, quality of the image of a face indicates the suitability of the image for use in face recognition. The invention comprises determining (112) a similarity of features of two or more sub-images of the image (608) to a model (412) of the object which is based on multiple training images (612) of multiple different objects of that type. The model (412) is comprised of sub-models (406) and each sub-model (406) corresponds to a sub-image of the image (608). Determining similarity is based on the similarity of features of each sub-image to features modelled by the corresponding sub-model. It is an advantage that no input parameters are required for quality assessment since the quality of the image can be determined from only the similarity between the image and the same, therefore single generic, model.