公开(公告)号：US09830361B1

公开(公告)日：2017-11-28

申请号：US14096950

申请日：2013-12-04

Applicant: Google Inc.

Inventor： Balakrishnan Varadarajan ,  George Dan Toderici ,  Apostol Natsev ,  Weilong Yang ,  John Burge ,  Sanketh Shetty ,  Omid Madani

IPC: G06F17/30 ,  G06F17/27 ,  G06F17/24

CPC classification number: G06F17/3053 ,  G06F17/241 ,  G06F17/278 ,  G06F17/30598

Abstract: Facilitation of content entity annotation while maintaining joint quality, coverage and/or completeness performance conditions is provided. In one example, a system includes an aggregation component that aggregates signals indicative of initial entities for content and initial scores associated with the initial entities generated by one or more content annotation sources; and a mapping component that maps the initial scores to calibrated scores within a defined range. The system also includes a linear aggregation component that: applies selected weights to the calibrated scores, wherein the selected weights are based on joint performance conditions; and combines the weighted, calibrated scores based on a selected linear aggregation model of a plurality of linear aggregation models to generate a final score. The system also includes an annotation component that determines whether to annotate the content with one of the initial entities based on a comparison of the final score and a defined threshold value.

公开(公告)号：US09779304B2

公开(公告)日：2017-10-03

申请号：US14823946

申请日：2015-08-11

Applicant: Google Inc.

Inventor： Balakrishnan Varadarajan ,  George Dan Toderici ,  Apostol Natsev ,  Nitin Khandelwal ,  Sudheendra Vijayanarasimhan ,  Weilong Yang ,  Sanketh Shetty

IPC: G06K9/62 ,  G06K9/00 ,  G06F17/30 ,  G06K9/52 ,  H04N5/265

CPC classification number: G06K9/00718 ,  G06F17/30784 ,  G06F17/3082 ,  G06K9/52 ,  G06K9/6201 ,  G06K9/6256 ,  G06K9/627 ,  H04N5/265

Abstract: A system and methodology provide for annotating videos with entities and associated probabilities of existence of the entities within video frames. A computer-implemented method identifies an entity from a plurality of entities identifying characteristics of video items. The computer-implemented method selects a set of features correlated with the entity based on a value of a feature of a plurality of features, determines a classifier for the entity using the set of features, and determines an aggregation calibration function for the entity based on the set of features. The computer-implemented method selects a video frame from a video item, where the video frame having associated features, and determines a probability of existence of the entity based on the associated features using the classifier and the aggregation calibration function.