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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：US11070891B1
公开(公告)日：2021-07-20
申请号：US16708996
申请日：2019-12-10
Applicant: Amazon Technologies, Inc.
Inventor： Charles Effinger , Ryan Barlow Dall , Christian Garcia Siagian , Ramakanth Mudumba , Lawrence Kyuil Chang
IPC: H04N21/488 , H04N21/43 , H04N21/442 , H04N21/4223 , G10L15/26
Abstract: A subtitle management system is provided that analyzes and adjusts subtitles for video content to improve the experience of viewers. Subtitles may be optimized or otherwise adjusted to display in particular regions of the video content, to display in synchronization with audio presentation of the spoken dialogue represented by the subtitles, to display in particular colors, and the like. Subtitles that are permanently integrated into the video content may be identified and addressed. These and other adjustments may be applied to address any of a variety of subtitle issues and shortcomings with conventional methods of generating subtitles.
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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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