-
公开(公告)号：US12072868B1
公开(公告)日：2024-08-27
申请号：US17224987
申请日：2021-04-07
Applicant: Amazon Technologies, Inc.
Inventor： Daniel Opincariu , Sandeep Joshi
CPC classification number: G06F16/2379 , G06F16/2228
Abstract: Systems and methods are disclosed to implement a data storage system that manages data retention for partitioned datasets. A received data retention policy specifies to selectively delete data from a dataset based on a set of data retention attributes. If the data retention attributes are part of the dataset's partition key, a first type of data deletion job is configured to selectively delete entire partitions of the dataset. Otherwise, the system will generate a retention attribute index for the dataset, which will be used by a second type of data deletion job to selectively delete individual records within the partitions. In embodiments, the retention attribute index is implemented as Bloom filters that track retention attribute values in each partition. Advantageously, the disclosed system is able to automatically configure deletion jobs for any dataset schema that avoids full scans of the dataset partitions.
-
公开(公告)号：US11625928B1
公开(公告)日：2023-04-11
申请号：US17009311
申请日：2020-09-01
Applicant: Amazon Technologies, Inc.
Inventor： Tamojit Chatterjee , Mayank Sharma , Muhammad Raffay Hamid , Sandeep Joshi
Abstract: Systems, methods, and computer-readable media are disclosed for language-agnostic subtitle drift detection and correction. A method may include determining subtitles and/or captions from media content (e.g., videos), the subtitles and/or captions corresponding to dialog in the media content. The subtitles may be broken up into segments which may be analyzed to determine a likelihood of drift (e.g., a likelihood that the subtitles are out of synchronization with the dialog in the media content) for each segment. For segments with a high likelihood of drift, the subtitles may be incrementally adjusted to determine an adjustment that eliminates and/or reduces the amount of drift and the drift in the segment may be corrected based on the drift amount detected. A linear regression model and/or human blocks determined by human operators may be used to otherwise optimize drift correction.
-
Patent Agency Ranking
公开(公告)号：US11900700B2
公开(公告)日：2024-02-13
申请号：US18175044
申请日：2023-02-27
Applicant: Amazon Technologies, Inc.
Inventor： Tamojit Chatterjee , Mayank Sharma , Muhammad Raffay Hamid , Sandeep Joshi
CPC classification number: G06V20/635 , G06F40/169 , G06N7/01 , G06V20/40 , G11B27/10 , G06V20/44
Abstract: Systems, methods, and computer-readable media are disclosed for language-agnostic subtitle drift detection and correction. A method may include determining subtitles and/or captions from media content (e.g., videos), the subtitles and/or captions corresponding to dialog in the media content. The subtitles may be broken up into segments which may be analyzed to determine a likelihood of drift (e.g., a likelihood that the subtitles are out of synchronization with the dialog in the media content) for each segment. For segments with a high likelihood of drift, the subtitles may be incrementally adjusted to determine an adjustment that eliminates and/or reduces the amount of drift, and the drift in the segment may be corrected based on the drift amount detected. A linear regression model and/or human blocks determined by human operators may be used to otherwise optimize drift correction.
-
公开(公告)号：US11869537B1
公开(公告)日：2024-01-09
申请号：US17523777
申请日：2021-11-10
Applicant: Amazon Technologies, Inc.
Inventor： Mayank Sharma , Sandeep Joshi , Muhammad Raffay Hamid
CPC classification number: G10L25/84 , G10L15/063 , G10L15/16 , G10L15/22 , G10L25/18
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for language agnostic automated voice activity detection. Example methods may include determining an audio file associated with video content, generating audio segments using the audio file, the audio segments including a first segment and a second segment, and determining that the first segment includes first voice activity. Methods may include determining that the second segment comprises second voice activity, determining that voice activity is present between a first timestamp associated with the first segment and a second timestamp associated with the second segment, and generating text data representing the voice activity that is present between the first timestamp and the second timestamp.
-
公开(公告)号：US10945041B1
公开(公告)日：2021-03-09
申请号：US16890940
申请日：2020-06-02
Applicant: Amazon Technologies, Inc.
Inventor： Tamojit Chatterjee , Mayank Sharma , Muhammad Raffay Hamid , Sandeep Joshi
IPC: H04N21/47 , G10L15/00 , G10L15/26 , H04N21/488
Abstract: Devices, systems, and methods are provided for language-agnostic subtitle drift detection and localization. A method may include extracting audio from video, dividing the audio into overlapping blocks, and determining the probabilities of overlapping portions of the blocks, the probabilities indicating a presence of voice data represented by the audio in the blocks. The method may generate machine blocks using overlapping portions of blocks where voice data is present, and may map the machine blocks to corresponding blocks indicating that subtitles are available for the video. For mapped blocks, the method may include determining features such as when subtitles are available without voice audio, when voice audio is available without subtitles, and when voice audio and subtitles both are available. Using the features, the method may include determining the probability that the video includes subtitle drift, and the method may include analyzing the video to localize where the subtitle drift occurs.
-
公开(公告)号：US20230282006A1
公开(公告)日：2023-09-07
申请号：US18175044
申请日：2023-02-27
Applicant: Amazon Technologies, Inc.
Inventor： Tamojit Chatterjee , Mayank Sharma , Muhammad Raffay Hamid , Sandeep Joshi
IPC: G06V20/62 , G11B27/10 , G06F40/169 , G06V20/40 , G06N7/01
CPC classification number: G06V20/635 , G11B27/10 , G06F40/169 , G06V20/40 , G06N7/01 , G06V20/44
Abstract: Systems, methods, and computer-readable media are disclosed for language-agnostic subtitle drift detection and correction. A method may include determining subtitles and/or captions from media content (e.g., videos), the subtitles and/or captions corresponding to dialog in the media content. The subtitles may be broken up into segments which may be analyzed to determine a likelihood of drift (e.g., a likelihood that the subtitles are out of synchronization with the dialog in the media content) for each segment. For segments with a high likelihood of drift, the subtitles may be incrementally adjusted to determine an adjustment that eliminates and/or reduces the amount of drift, and the drift in the segment may be corrected based on the drift amount detected. A linear regression model and/or human blocks determined by human operators may be used to otherwise optimize drift correction.
-
公开(公告)号：US11205445B1
公开(公告)日：2021-12-21
申请号：US16436351
申请日：2019-06-10
Applicant: Amazon Technologies, Inc.
Inventor： Mayank Sharma , Sandeep Joshi , Muhammad Raffay Hamid
Abstract: Systems, methods, and computer-readable media are disclosed for systems and methods for language agnostic automated voice activity detection. Example methods may include determining an audio file associated with video content, generating a number of audio segments using the audio file, the plurality of audio segments including a first segment and a second segment, where the first segment and the second segment are consecutive segments. Example methods may include determining, using a Gated Recurrent Unit neural network, that the first segment includes first voice activity, determining, using the Gated Recurrent Unit neural network, that the second segment includes second voice activity, and determining that voice activity is present between a first timestamp associated with the first segment and a second timestamp associated with the second segment.
-
-
-
-
-
-
Search Results
7
records
(took 0.013 seconds)
