发明名称 RELEVANCE-BASED IMAGE SELECTION
摘要 A system, computer readable storage medium, and computer-implemented method presents video search results responsive to a user keyword query. The video hosting system uses a machine learning process to learn a feature-keyword model associating features of media content from a labeled training dataset with keywords descriptive of their content. The system uses the learned model to provide video search results relevant to a keyword query based on features found in the videos. Furthermore, the system determines and presents one or more thumbnail images representative of the video using the learned model. WO 2011/025701 PCT/US2O1O/045909 C:I) w oP U J -J< CDw T
申请公布号 AU2016202074(A1) 申请公布日期 2016.04.28
申请号 AU20160202074 申请日期 2016.04.04
申请人 GOOGLE INC. 发明人 CHECHIK, GAL;BENGIO, SAMY
分类号 G06K9/62 主分类号 G06K9/62
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