发明名称 SYSTEMS AND METHODS FOR AUTOMATIC FORMATTING OF IMAGES FOR MEDIA ASSETS BASED ON PREVALANCE
摘要 Control circuitry may identify an image corresponding to a media asset, where the image comprises a plurality of portions, and where each portion of the plurality of portions comprises a respective entity. The image identified by control circuitry may include several portions, where each portion includes a respective entity. Control circuitry may determine an identity of each respective entity in each respective portion of the plurality of portions. Control circuitry may then access a database to determine a level of prevalence of each identity in the media asset. Based on these identifications, control circuitry may determine which respective entity corresponds to a highest level of prevalence (e.g., with respect to the other entities), and may generate for display a respective portion comprising the respective entity that corresponds to the highest level of prevalence.
申请公布号 US2016381420(A1) 申请公布日期 2016.12.29
申请号 US201514752204 申请日期 2015.06.26
申请人 Rovi Guides, Inc. 发明人 Blohowiak Aaron Peter;Klappert Walter R.;Nichols Michael R.;Chalouhi Olivier
分类号 H04N21/45;G06T11/60;G06T3/00;H04N21/44;H04N21/482;H04N21/466;H04N21/431;G06K9/00;G06T11/20;G06T3/40 主分类号 H04N21/45
代理机构 代理人
主权项 1. A method for selectively generating for display portions of an image, the method comprising: identifying an image corresponding to a media asset, wherein the image comprises a plurality of portions, and wherein each portion of the plurality of portions comprises a respective entity; determining an identity of each respective entity in each respective portion of the plurality of portions; accessing a database to determine a level of prevalence of each identity in the media asset; determining which respective entity corresponds to a highest level of prevalence by performing facial recognition on each respective entity of the image; and generating for display a respective portion comprising the respective entity that corresponds to the highest level of prevalence based on comparing a result of the facial recognition with data of a knowledge graph.
地址 Santa Clara CA US