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公开(公告)号:US10924629B1
公开(公告)日:2021-02-16
申请号:US16712330
申请日:2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor: Christian Garcia Siagian , Christian Ciabattoni , Yang Yu , Yik Pui Suen , Ryan Barlow Dall , Ritesh Pase , Ramakanth Mudumba
Abstract: Techniques for automated content validation are provided. In some examples, a media file and a metadata file associated with a title of the media file may be received. One or more scene paragraphs may be identified based at least in part on information in the metadata file. Scenes may be identified at least in part by using a transformer model implemented in a neural network. One or more scene files may be generated from the media file. One or more characters in a scene file of the one or more scene files may be identified. A match score may be determined, based at least in part on an association of the scene file to a scene paragraph of the plurality of scene paragraphs. A validity criterion may be determined for the title associated with the media file based at least in part on the match score.
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公开(公告)号:US11342003B1
公开(公告)日:2022-05-24
申请号:US16711797
申请日:2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor: Christian Garcia Siagian , Christian Ciabattoni , David Niu , Lawrence Kyuil Chang , Gordon Zheng , Ritesh Pase , Shiva Krishnamurthy , Ramakanth Mudumba
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.
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公开(公告)号:US11120839B1
公开(公告)日:2021-09-14
申请号:US16711841
申请日:2019-12-12
Applicant: Amazon Technologies, Inc.
Inventor: Christian Garcia Siagian , Christian Ciabattoni , David Niu , Lawrence Kyuil Chang , Gordon Zheng , Ritesh Pase , Shiva Krishnamurthy , Ramakanth Mudumba
Abstract: Disclosed are various embodiments for segmenting and classifying video content using conversation. 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 conversation segments are selected. 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.
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