公开(公告)号：US08983193B1

公开(公告)日：2015-03-17

申请号：US13628735

申请日：2012-09-27

Applicant: Google Inc.

Inventor： Vicente Ignacio Ordonez Roman ,  Jennifer Ann Gillenwater ,  Rodrigo Carceroni ,  Amarnag Subramanya ,  Wei Hua ,  Hui Fang

IPC: G06K9/46 ,  G06K9/00

CPC classification number: G06K9/00 ,  G06F17/30247 ,  G06K9/00684 ,  G06K9/6263 ,  G06K9/6277

Abstract: A computer-implemented technique can receive, at a computing device including one or more processors, a plurality of photos. The technique can extract quality features and similarity features for each of the plurality of photos and can obtain weights for the various quality features and similarity features based on an analysis of a reference photo collection. The technique can generate a quality metric for each of the plurality of photos and can generate a similarity matrix for the plurality of photos by analyzing the various quality features and similarity features and using the obtained weights. The technique can perform joint global maximization of photo quality and photo diversity using the quality metrics and the similarity matrix in order to select a subset of the plurality of photos having a high degree of representativeness. The technique can then store the subset of the plurality of photos in a memory.

Abstract translation: 计算机实现的技术可以在包括一个或多个处理器的计算设备处接收多个照片。 该技术可以为多张照片中的每一张照片提取质量特征和相似性特征，并且可以基于参考照片集合的分析来获得各种质量特征和相似性特征的权重。 该技术可以为多个照片中的每一个生成质量度量，并且可以通过分析各种质量特征和相似性特征并使用获得的权重来生成多张照片的相似性矩阵。 该技术可以使用质量度量和相似性矩阵来执行照片质量和照片分集的联合全局最大化，以便选择具有高度代表性的多张照片的子集。 该技术然后可以将多个照片的子集存储在存储器中。