Segmenting and classifying video content using sounds

US11342003B1 · kind B1 · utility

Assignee

• AMAZON TECHNOLOGIES, INC. · US

Inventors

• Christian Garcia Siagian · Los Angeles, US
• Christian Ciabattoni · Los Angeles, US
• David Niu · Los Angeles, US
• Lawrence Kyuil Chang · Los Angeles, US
• Gordon Zheng · Burbank, US
• Ritesh Pase · Seattle, US
• Shiva Krishnamurthy · Sammamish, US
• Ramakanth Mudumba · Lake Forest, US

Key dates

• Filing date: Dec 12, 2019
• Grant date: May 24, 2022
• Expiry date: Dec 12, 2039

Classification

• Technology area (CPC G): Physics
• CPC primary: G10L25/78
• WIPO field: Computer technology
• WIPO sector: Electrical engineering

Abstract

Disclosed are various embodiments for segmenting and classifying video content using sounds. In one embodiment, a plurality of segments of a video content item are generated by analyzing audio accompanying the video content item. A subset of the plurality of segments that correspond to music segments is selected based at least in part on an audio characteristic of the subset of the plurality of segments. Individual segments of the subset of the plurality of segments are processed to determine whether a classification applies to the individual segments. A list of segments of the video content item to which the classification applies is generated.