-
公开(公告)号：US20230164403A1
公开(公告)日：2023-05-25
申请号：US17535113
申请日：2021-11-24
发明人： Alexander Niedt , Mara Idai Lucien , Juli Logemann , Miquel Angel Farre Guiu , Monica Alfaro Vendrell , Marc Junyent Martin
IPC分类号： H04N21/81 , H04N21/475 , H04N21/466 , G06F16/74 , H04N21/45 , H04N21/84 , H04N21/431
CPC分类号： H04N21/8153 , H04N21/4755 , H04N21/4667 , G06F16/743 , H04N21/4532 , H04N21/84 , H04N21/4312
摘要： A system includes a computing platform including processing hardware and a memory storing software code, a trained machine learning (ML) model, and a content thumbnail generator. The processing hardware executes the software code to receive interaction data describing interactions by a user with content thumbnails, identify, using the interaction data, an affinity by the user for at least one content thumbnail feature, and determine, using the interaction data, a predetermined business rule, or both, content for promotion to the user. The software code further provides a prediction, using the trained ML model and based on the affinity by the user, of the desirability of each of multiple candidate thumbnails for the content to the user, generates, using the content thumbnail generator and based on the prediction, a thumbnail having features of one or more of the candidate thumbnails, and displays the thumbnail to promote the content to the user.
-
公开(公告)号：US11758243B2
公开(公告)日：2023-09-12
申请号：US17535113
申请日：2021-11-24
发明人： Alexander Niedt , Mara Idai Lucien , Juli Logemann , Miquel Angel Farre Guiu , Monica Alfaro Vendrell , Marc Junyent Martin
IPC分类号： H04N21/81 , H04N21/45 , H04N21/84 , H04N21/466 , H04N21/431 , H04N21/475 , G06F16/74
CPC分类号： H04N21/8153 , G06F16/743 , H04N21/4312 , H04N21/4532 , H04N21/4667 , H04N21/4755 , H04N21/84
摘要： A system includes a computing platform including processing hardware and a memory storing software code, a trained machine learning (ML) model, and a content thumbnail generator. The processing hardware executes the software code to receive interaction data describing interactions by a user with content thumbnails, identify, using the interaction data, an affinity by the user for at least one content thumbnail feature, and determine, using the interaction data, a predetermined business rule, or both, content for promotion to the user. The software code further provides a prediction, using the trained ML model and based on the affinity by the user, of the desirability of each of multiple candidate thumbnails for the content to the user, generates, using the content thumbnail generator and based on the prediction, a thumbnail having features of one or more of the candidate thumbnails, and displays the thumbnail to promote the content to the user.
-
公开(公告)号：US11741129B2
公开(公告)日：2023-08-29
申请号：US17396460
申请日：2021-08-06
发明人： Miquel Angel Farre Guiu , Monica Alfaro Vendrell , Marcel Porta Valles , Pablo Pernias , Marc Junyet Martin , Melina Ovanessian , Anthony M. Accardo , Mara Idai Lucien
IPC分类号： A61N1/00 , G06F16/28 , G06N20/00 , G06F16/2457
CPC分类号： G06F16/285 , G06F16/24573 , G06N20/00
摘要： According to one implementation, a system includes a computing platform having processing hardware, a system memory storing a software code; and a machine learning model based classifier. The processing hardware is configured to execute the software code to receive tagging quality assurance (QA) data including multiple terms applied as tags and corrections to those tags, to identify, using the tagging QA data, a first problematic term, and to classify, using the machine learning model based classifier, the first problematic term as one of confusing or flawed. The processing hardware is further configured to execute the software code to obtain, when the first problematic term is classified as confusing, a comparative sample for clarifying use of the first problematic term, and to obtain, when the first problematic term is classified as flawed, modification data for editing a predetermined annotation taxonomy including the first problematic term.
-
公开(公告)号：US20230092847A1
公开(公告)日：2023-03-23
申请号：US18072369
申请日：2022-11-30
发明人： Nimesh Narayan , Jack Luu , Alan Pao , Matthew C. Petrillo , Anthony M. Accardo , Alexis J. Lindquist , Miquel Angel Farre Guiu , Katharine (Kaki) S. Ettinger , Lena Volodarsky Bareket
IPC分类号： H04N21/472 , H04N21/81 , H04N21/845 , G11B27/28 , G06V20/40
摘要： There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive a media content including a plurality of frames, divide the media content into a plurality of shots, each of the plurality of shots including a plurality of frames of the media content based on a first similarity between the plurality of frames, determine a plurality of sequential shots of the plurality of shots to be part of a first sub-scene of a plurality of sub-scenes of a scene based on a timeline continuity of the plurality of sequential shots, identify each of the plurality of shots of the media content and each of the plurality of sub-scenes with a corresponding beginning time code and a corresponding ending time code.
-
公开(公告)号：US20230068502A1
公开(公告)日：2023-03-02
申请号：US17460910
申请日：2021-08-30
发明人： Pablo Pernias , Monica Alfaro Vendrell , Francesc Josep Guitart Bravo , Marc Junyent Martin , Miquel Angel Farre Guiu
摘要： A system includes a computing platform having processing hardware, and a memory storing software code and a machine learning (ML) model-based feature classifier. When executed, the software code receives media content including a first media component corresponding to a first media mode and a second media component corresponding to a second media mode, encodes the first media component using a first encoder to generate multiple first embedding vectors, and encodes the second media component using a second encoder to generate multiple second embedding vectors. The software code further combines the first embedding vectors and the second embedding vectors to provide an input data structure for a neural network mixer, process, using the neural network mixer, the input data structure to provide feature data corresponding to a feature of the media content, and predict, using the ML model-based feature classifier and the feature data, a classification of the feature.
-
公开(公告)号：US11523188B2
公开(公告)日：2022-12-06
申请号：US15199677
申请日：2016-06-30
发明人： Nimesh Narayan , Jack Luu , Alan Pao , Matthew Petrillo , Anthony M. Accardo , Alexis Lindquist , Miquel Angel Farre Guiu , Katharine S. Ettinger , Lena Volodarsky Bareket
IPC分类号： H04N21/472 , H04N21/81 , H04N21/845 , G11B27/28 , G06V20/40
摘要： There is provided a system including a non-transitory memory storing an executable code and a hardware processor executing the executable code to receive a media content including a plurality of frames, divide the media content into a plurality of shots, each of the plurality of shots including a plurality of frames of the media content based on a first similarity between the plurality of frames, determine a plurality of sequential shots of the plurality of shots to be part of a first sub-scene of a plurality of sub-scenes of a scene based on a timeline continuity of the plurality of sequential shots, identify each of the plurality of shots of the media content and each of the plurality of sub-scenes with a corresponding beginning time code and a corresponding ending time code.
-
公开(公告)号：US11425120B2
公开(公告)日：2022-08-23
申请号：US16788181
申请日：2020-02-11
IPC分类号： G10L17/00 , H04L9/40 , G06F16/435 , G06F16/9535 , G10L17/06 , G06V40/16
摘要： A system for authenticating digital contents includes a computing platform having a hardware processor and a memory storing a software code. According to one implementation, the hardware processor executes the software code to receive digital content, identify an image of a person depicted in the digital content, determine an ear shape parameter of the person depicted in the image, determine another biometric parameter of the person depicted in the image, and calculate a ratio of the ear shape parameter of the person depicted in the image to the biometric parameter of the person depicted in the image. The hardware processor is also configured to execute the software code to perform a comparison of the calculated ratio with a predetermined value, and determine whether the person depicted in the image is an authentic depiction of the person based on the comparison of the calculated ratio with the predetermined value.
-
公开(公告)号：US11314706B2
公开(公告)日：2022-04-26
申请号：US16999767
申请日：2020-08-21
发明人： Christopher C. Stoafer , Jordi Badia Pujol , Francesc Josep Guitart Bravo , Marc Junyent Martin , Miquel Angel Farre Guiu , Calvin Lawson , Erick L. Luerken
IPC分类号： G06F16/00 , G06F16/215 , G06F16/2453 , G06F9/48 , G06F11/34 , G06F16/21 , G06F16/178 , G06F16/2458 , G06F16/383 , G06F17/11 , G06F30/27 , G06F16/33
摘要： A metadata aggregation system includes a computing platform having a hardware processor and a memory storing a software code including a trained entity matching predictive model trained using training data obtained from a reference database. The hardware processor executes the software code to obtain metadata inputs from multiple sources, conform the metadata inputs to a common format, match, using the trained entity matching predictive model, at least some of the conformed metadata inputs to the same entity, and determine, using the trained entity matching predictive model, a confidence score for each match. The software code further sends a request to one or more human editor(s) for confirmation of each match having a confidence score greater than a first threshold and less than a second threshold, and updates the reference database, in response to receiving a confirmation that at least one match is a confirmed match, to include the confirmed match.
-
公开(公告)号：US11157777B2
公开(公告)日：2021-10-26
申请号：US16512223
申请日：2019-07-15
发明人： Miquel Angel Farre Guiu , Matthew C. Petrillo , Marc Junyent Martin , Anthony M. Accardo , Avner Swerdlow , Monica Alfaro Vendrell
摘要： According to one implementation, a quality control (QC) system for annotated content includes a computing platform having a hardware processor and a system memory storing an annotation culling software code. The hardware processor executes the annotation culling software code to receive multiple content sets annotated by an automated content classification engine, and obtain evaluations of the annotations applied by the automated content classification engine to the content sets. The hardware processor further executes the annotation culling software code to identify a sample size of the content sets for automated QC analysis of the annotations applied by the automated content classification engine, and cull the annotations applied by the automated content classification engine based on the evaluations when the number of annotated content sets equals the identified sample size.
-
公开(公告)号：US11089345B2
公开(公告)日：2021-08-10
申请号：US15646469
申请日：2017-07-11
发明人： John M. Solaro , Alexis J. Lindquist , Anthony M. Accardo , Avner Swerdlow , Miquel Angel Farre Guiu , Katharine S. Ettinger
IPC分类号： H04H60/32 , H04N21/25 , H04N21/45 , H04N21/81 , H04N21/84 , H04N21/845 , H04N21/4722 , H04N21/8547 , H04N21/258 , H04N21/475 , H04N21/239 , H04N21/8549
摘要： According to one implementation, a system for programmatic generation of media content digests includes a computing platform having a hardware processor and a system memory storing a media content digest software code. The hardware processor executes the media content digest software code to identify a media content for use in generating a content digest, the media content including a timecode of the media content, to access a metadata describing the media content and indexed to the timecode, and to identify one or more constraints for the content digest. In addition, the hardware processor executes the media content digest software code to programmatically extract content segments from the media content using the metadata indexed to the timecode and based on the one or more constraints, and to generate the content digest based on the media content from the content segments.
-
-
-
-
-
-
-
-
-
搜索结果
90 条记录 (耗时 0.024 秒)
