Technologies for automated context-aware media curation

US10380256B2 · kind B2 · utility

Assignee

• Intel Corporation · US

Inventors

• Lama Nachman · Santa Clara, US
• Ashwini Asokan · Sunnyvale, US
• Giuseppe Raffa · Portland, US
• Rita H. Wouhaybi · Portland, US
• Saurav Sahay · Santa Clara, US
• Omar U. Florez · Sunnyvale, US
• Rahul C. Shah · Marlborough, US
• Chieh-Yih Wan · Beaverton, US
• Jonathan Huang · Pleasanton, US
• Hong Lu · Santa Clara, US
• Sangita Sharma · Portland, US
• Junaith Ahemed Shahabdeen · San Jose, US
• Douglas Bogia · Hillsboro, US
• Lenitra M. Durham · Beaverton, US

Key dates

• Filing date: Sep 26, 2015
• Grant date: Aug 13, 2019
• Expiry date: Oct 30, 2037

Classification

• Technology area (CPC G): Physics
• CPC primary: G06N5/022
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Technologies for automated context-aware media curation include a computing device that captures context data associated with media objects. The context data may include location data, proximity data, behavior data of the user, and social activity data. The computing device generates inferred context data using one or more cognitive or machine learning algorithms. The inferred context data may include semantic time or location data, activity data, or sentiment data. The computing device updates a user context model and an expanded media object graph based on the context data and the inferred context data. The computing device selects one or more target media objects using the user context model and the expanded media object graph. The computing device may present context-aware media experiences to the user with the target media objects. Context-aware media experiences may include contextual semantic search and contextual media browsing. Other embodiments are described and claimed.