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公开(公告)号：US10061987B2
公开(公告)日：2018-08-28
申请号：US15349882
申请日：2016-11-11
Applicant: Google Inc.
Inventor： Filip Pavetic
CPC classification number: G06K9/00758 , G06F16/783 , G06F16/7867 , G06K9/00744 , G06K9/00765 , G06K9/6215
Abstract: Whether a not a given video includes video content of other videos is determined by evaluating video content as well as video content transitions over time of videos. One or more fingerprints of the video are created and used to match against reference fingerprints of reference videos to identify candidate videos that is likely to have matching video content as an input video. After a candidate video is identified, a likelihood of the candidate video and an input video having matching video content is evaluated. A confidence score based on the evaluation of video content as well as video content transitions over time for a pair of videos including the input video and a candidate video is generated. When the confidence score exceeds a threshold score, it is determined that the pair of videos is likely to include the matching video content.
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2.发明申请公开(公告)号：US20180204065A1
公开(公告)日：2018-07-19
申请号：US15444054
申请日：2017-02-27
Applicant: Google Inc.
Inventor： Filip Pavetic , King Hong Thomas Leung , Dmitrii Tochilkin
CPC classification number: G06K9/00718 , G06K9/00711 , G06K9/3233 , G06K9/6256 , G06K9/6268 , G06N20/00
Abstract: A system and methods are disclosed for training a machine learning model to identify constituent images within composite images. In one implementation, a composite image is generated, where the composite image comprises a first portion containing pixel data of a first constituent image, and a second portion containing pixel data of a second constituent image. A first training input comprising pixel data of the composite image and a first target output for the first training input are generated, where the first target output identifies a position of the first portion within the composite image. The training data is provided to train the machine learning model on (i) a set of training inputs comprising the first training input and (ii) a set of target outputs comprising the first target output.
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公开(公告)号：US09959448B2
公开(公告)日：2018-05-01
申请号：US15251347
申请日：2016-08-30
Applicant: Google Inc.
Inventor： Pedro Gonnet Anders , Filip Pavetic
IPC: G06K9/00
CPC classification number: G06K9/00087 , G06K9/00758
Abstract: A method of identifying similar media items is described. The method include identifying a first multiplicity of fingerprints representative of content segments of variable duration for a first media item and a second multiplicity of fingerprints representative of content segments of variable duration for a second media item. The method further includes comparing, by a processing device, a first group of the first multiplicity of fingerprints to a second group of the second multiplicity of fingerprints to generate a first similarity score indicative of a similarity between the first group of fingerprints and the second group of fingerprints. The method also includes determining an alignment score for the first multiplicity of fingerprints and the second multiplicity of fingerprints using the first similarity score.
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公开(公告)号：US20180137367A1
公开(公告)日：2018-05-17
申请号：US15349882
申请日：2016-11-11
Applicant: Google Inc.
Inventor： Filip Pavetic
CPC classification number: G06K9/00758 , G06F17/30784 , G06F17/3082 , G06K9/00744 , G06K9/00765 , G06K9/6215
Abstract: Whether a not a given video includes video content of other videos is determined by evaluating video content as well as video content transitions over time of videos. One or more fingerprints of the video are created and used to match against reference fingerprints of reference videos to identify candidate videos that is likely to have matching video content as an input video. After a candidate video is identified, a likelihood of the candidate video and an input video having matching video content is evaluated. A confidence score based on the evaluation of video content as well as video content transitions over time for a pair of videos including the input video and a candidate video is generated. When the confidence score exceeds a threshold score, it is determined that the pair of videos is likely to include the matching video content.
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公开(公告)号：US09872056B1
公开(公告)日：2018-01-16
申请号：US15382113
申请日：2016-12-16
Applicant: Google Inc.
Inventor： Valerii Zamaraiev , Filip Pavetic
IPC: H04N21/24 , H04N21/258 , H04N21/2743 , H04N21/278 , H04N21/647 , H04N21/658 , H04N21/254 , H04N19/46 , H04N21/222 , H04N21/4627 , H04N13/00
CPC classification number: H04N21/2541 , G06F17/30784 , G06F21/10 , G06K9/00744 , H04N13/161 , H04N13/194 , H04N19/46 , H04N21/2223 , H04N21/4627 , H04N21/835
Abstract: Methods, systems, and media for identifying content in stereoscopic videos and, more particularly, for detecting abusive stereoscopic videos by generating fingerprints for multiple portions of a video frame are provided. The method comprises: receiving, from a user device, a video content item for uploading to a content provider; selecting a frame from a plurality of frames of the video content item for generating one or more fingerprints corresponding to the video content item; generating a first fingerprint corresponding to the selected frame, a second fingerprint corresponding to a first encoded portion of the selected frame, and a third fingerprint corresponding to a second encoded portion of the selected frame; comparing each of the first fingerprint, the second fingerprint, and the third fingerprint to a plurality of reference fingerprints corresponding to reference video content items; determining whether at least one of the first fingerprint, the second fingerprint, and the third fingerprint match a reference fingerprint of the plurality of reference fingerprints; and, in response to determining that at least one of the first fingerprint, the second fingerprint, and the third fingerprint match the reference fingerprint, causing an indication of the match to be presented on the user device.
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Patent Agency Ranking
公开(公告)号：US10586111B2
公开(公告)日：2020-03-10
申请号：US15444054
申请日：2017-02-27
Applicant: Google Inc.
Inventor： Filip Pavetic , King Hong Thomas Leung , Dmitrii Tochilkin
Abstract: A system and methods are disclosed for training a machine learning model to identify constituent images within composite images. In one implementation, a composite image is generated, where the composite image comprises a first portion containing pixel data of a first constituent image, and a second portion containing pixel data of a second constituent image. A first training input comprising pixel data of the composite image and a first target output for the first training input are generated, where the first target output identifies a position of the first portion within the composite image. The training data is provided to train the machine learning model on (i) a set of training inputs comprising the first training input and (ii) a set of target outputs comprising the first target output.
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公开(公告)号：US20180173957A1
公开(公告)日：2018-06-21
申请号：US15380535
申请日：2016-12-15
Applicant: Google Inc.
Inventor： Filip Pavetic , Matthias Konrad , Roman Vorushin
IPC: G06K9/00
CPC classification number: G06K9/00744 , G06F16/7837
Abstract: Methods, systems, and media for analyzing spherical video content are provided. More particularly, methods, systems, and media for detecting two-dimensional videos placed on a sphere in abusive spherical video content by tiling the sphere are provided. In some embodiments, the method comprises: receiving an identifier of a spherical video content item, wherein the spherical video content item has a plurality of views and wherein the spherical video content item is encoded into a plurality of two-dimensional video frames; selecting a first frame of the plurality of two-dimensional video frames associated with the spherical video content item; dividing the first frame into a plurality of tiles spanning the first frame of the spherical video content item; calculating, for each tile of the plurality of tiles, a probability that the tile includes content of a particular type of content; determining, for each tile, whether the probability exceeds a predetermined threshold; in response to determining, for a particular tile, that the probability exceeds the predetermined threshold, causing the content associated with the tile to be analyzed using a video fingerprinting technique; and in response to determining, using the video fingerprinting technique, that the content associated with the tile matches a reference content item of a plurality of reference content items, generating an indication of the match in association with the identifier of the spherical video content item.
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公开(公告)号：US09972060B2
公开(公告)日：2018-05-15
申请号：US15260252
申请日：2016-09-08
Applicant: Google Inc.
Inventor： Filip Pavetic , Matthias Rochus Konrad , Hanna Pasula
CPC classification number: G06T1/0021 , G06F21/10 , G06K9/00744 , G06K9/4604 , G06K9/6202 , G06T7/0081 , G06T7/11 , G06T7/20 , G06T7/408 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , H04N21/23418 , H04N21/2541 , H04N21/2743 , H04N21/8352
Abstract: A method and system generates and compares sub-fingerprints for videos. Sub-fingerprints of a video provide representations of characteristics of portions of video content of the video. Sub-fingerprints can be used to determine whether a video includes video content of another video effectively. The video can include other video content to visually appear different from the other video. When a sub-fingerprint of the video matches a fingerprint of the other video, the video includes video content of the other video. Motions of video content of the video can be tracked to identify regions of video frames that include image content that includes motion. Sub-images can created and used to create sub-fingerprints of the video.
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公开(公告)号：US20180068410A1
公开(公告)日：2018-03-08
申请号：US15260252
申请日：2016-09-08
Applicant: Google Inc.
Inventor： Filip Pavetic , Matthias Rochus Konrad , Hanna Pasula
CPC classification number: G06T1/0021 , G06F21/10 , G06K9/00744 , G06K9/4604 , G06K9/6202 , G06T7/0081 , G06T7/11 , G06T7/20 , G06T7/408 , G06T7/90 , G06T2207/10016 , G06T2207/10024 , H04N21/23418 , H04N21/2541 , H04N21/2743 , H04N21/8352
Abstract: A method and system generates and compares sub-fingerprints for videos. Sub-fingerprints of a video provide representations of characteristics of portions of video content of the video. Sub-fingerprints can be used to determine whether a video includes video content of another video effectively. The video can include other video content to visually appear different from the other video. When a sub-fingerprint of the video matches a fingerprint of the other video, the video includes video content of the other video. Motions of video content of the video can be tracked to identify regions of video frames that include image content that includes motion. Sub-images can created and used to create sub-fingerprints of the video.
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公开(公告)号：US20180053039A1
公开(公告)日：2018-02-22
申请号：US15251347
申请日：2016-08-30
Applicant: Google Inc.
Inventor： Pedro Gonnet Anders , Filip Pavetic
IPC: G06K9/00
CPC classification number: G06K9/00087 , G06K9/00758
Abstract: A method of identifying similar media items is described. The method include identifying a first multiplicity of fingerprints representative of content segments of variable duration for a first media item and a second multiplicity of fingerprints representative of content segments of variable duration for a second media item. The method further includes comparing, by a processing device, a first group of the first multiplicity of fingerprints to a second group of the second multiplicity of fingerprints to generate a first similarity score indicative of a similarity between the first group of fingerprints and the second group of fingerprints. The method also includes determining an alignment score for the first multiplicity of fingerprints and the second multiplicity of fingerprints using the first similarity score.
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