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Небесная энциклопедия

Космические корабли и станции, автоматические КА и методы их проектирования, бортовые комплексы управления, системы и средства жизнеобеспечения, особенности технологии производства ракетно-космических систем

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Мониторинг СМИ

Мониторинг СМИ и социальных сетей. Сканирование интернета, новостных сайтов, специализированных контентных площадок на базе мессенджеров. Гибкие настройки фильтров и первоначальных источников.

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Применить Всего найдено 12. Отображено 12.
13-07-2017 дата публикации

SYSTEMS AND METHODS FOR AUTOMATED APPLICATION OF BUSINESS RULES USING TEMPORAL METADATA AND CONTENT FINGERPRINTING

Номер: US20170201774A1
Автор: David Lindsay, Lena Bareket, Nimesh Narayan, Yoomi Koh Poon, LINDSAY DAVID, BAREKET LENA, NARAYAN NIMESH, POON YOOMI KOH, Lindsay David, Bareket Lena, Narayan Nimesh, Poon Yoomi Koh
Принадлежит: Disney Enterprises, Inc.

According to various embodiments of the disclosed technology, it is possible for content owners to better control the presentation of owned multimedia assets. Implementations of embodiments of the technology of the present disclosure leverage the specificity and greater breadth of detailed information about the multimedia asset of temporal metadata to enable content owners to associate business rules with particular content elements of the multimedia asset. After being notified of a match through the traditional fingerprinting process, embodiments in accordance with the present disclosure can programmatically identify the exact content elements contained within the uploaded multimedia file, and accordingly apply the applicable rules. Content owners may create a list of business rules associated with particular temporal metadata tags of a multimedia assets so that fine-grained rule application is possible. 1. A system , comprising:a multimedia asset owned by a content owner, the multimedia asset associated with a plurality of temporal metadata tags identifying a plurality of content elements;an association engine configured to generate a list associating a business rule with a content element of the plurality of content elements based on at least one of the temporal metadata tags; anda temporal rule applicator configured to receive a notification of a detected digital fingerprint match from an external system based on a digital profile of a multimedia asset, and to determine a business rule applicable to a multimedia file containing at least a portion of the multimedia asset based on the list.2. The system of claim 1 , further comprising a fingerprint generator configured to generate the digital profile comprising a digital fingerprint for the multimedia asset claim 1 , the digital fingerprint comprising a representation of a unique attribute of a multimedia asset.3. The system of claim 2 , wherein the fingerprint generator and the association engine comprise a ...

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Номер записи: 1
20-04-2017 дата публикации

Metadata Extraction and Management

Номер: US20170109419A1
Автор: Miquel Angel Farre Guiu, Marc Junyent Martin, Jordi Pont-Tuset, Pablo Beltran, Nimesh Narayan, Leonid Sigal, Aljoscha Smolic, Anthony M. Accardo, FARRE GUIU MIQUEL ANGEL, JUNYENT MARTIN MARC, PONT-TUSET JORDI, BELTRAN PABLO, NARAYAN NIMESH, SIGAL LEONID, SMOLIC ALJOSCHA, ACCARDO ANTHONY M, Farre Guiu Miquel Angel, Junyent Martin Marc, Pont-Tuset Jordi, Beltran Pablo, Narayan Nimesh, Sigal Leonid, Smolic Aljoscha, Accardo Anthony M.
Принадлежит:

There are provided systems and methods for performing metadata extraction and management. Such a system includes a computing platform having a hardware processor, a system memory, and metadata extraction and management unit stored in the system memory. The system is configured to extract multiple metadata types from a media asset, and to aggregate the multiple metadata types to produce an aggregated metadata describing the media asset. The system is further configured to transform the aggregated metadata into at least one database entry identifying the media asset, and to map the at least one database entry into a graphical database so as to relate the media asset to at least one other media asset represented in the graphical database. 1. A system comprising:a computing platform having a hardware processor and a system memory;a metadata extraction and management unit stored in the system memory; extract a plurality of metadata types from a media asset;', 'aggregate the plurality of metadata types to produce an aggregated metadata describing the media asset;', 'transform the aggregated metadata into at least one database entry identifying the media asset; and', 'map the at least one database entry into a graphical database so as to relate the media asset to at least one other media asset represented in the graphical database., 'wherein the hardware processor is configured to execute the metadata extraction and management unit to2. The system of claim 1 , wherein the hardware processor is further configured to execute the metadata extraction and management unit to prioritize an order of extraction of the plurality of metadata types from the media asset.3. The system of claim 1 , wherein the hardware processor is further configured to execute the metadata extraction and management unit to determine extraction parameters for extracting metadata included in one of the plurality of metadata types based on an earlier extracted metadata of another metadata type.4. The ...

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Номер записи: 2
04-01-2018 дата публикации

Systems and Methods for Intelligent Media Content Segmentation and Analysis

Номер: US20180005041A1
Автор: Accardo Anthony M., Ettinger Katharine S., FARRÉ GUIU Miquel Angel, Lindquist Alexis, Luu Jack, Narayan Nimesh, Pao Alan, Petrillo Matthew, Volodarsky Bareket Lena
Принадлежит:

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. 1. A system comprising:a non-transitory memory storing an executable code; 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., 'a hardware processor executing the executable code to2. The system of claim 1 , wherein the hardware processor further executes the executable code to:determine one or more sequential sub-scenes of the plurality of sub-scenes to be part of the scene; andidentify the scene with a corresponding beginning time code and a corresponding ending time code.3. The system of claim 1 , wherein the hardware processor further executes the executable code to:receive a user input annotating ...

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Номер записи: 3
04-01-2018 дата публикации

Media Asset Tagging

Номер: US20180005157A1
Автор: Accardo Anthony M., Ettinger Katharine S., FARRÉ GUIU Miquel Angel, Luu Jack, Narayan Nimesh, Pao Alan, Petrillo Matthew, Volodarsky Bareket Lena
Принадлежит:

There are provided media asset tagging systems and method. Such a system includes a hardware processor, and a system memory storing a workflow management software code including a tagging application template and a multi-contributor synthesis module. The hardware processor executes the workflow management software code to provide a workflow management interface, to receive a media asset identification data and a workflow rules data, and to generate custom tagging applications based on the workflow rules data. The hardware processor further executes the workflow management software code to receive tagging data for the media asset, determine at least a first constraint for tagging the media asset, receive additional tagging data for, and determine at least a second constraint for tagging the media asset. The media asset is then tagged based on the tagging data and the additional tagging data, subject to the constraints. 1. A media asset tagging system comprising:a hardware processor;a system memory having stored therein a workflow management software code including a tagging application template and a multi-contributor synthesis module; provide a workflow management interface;', 'receive a media asset identification data and a workflow rules data via the workflow management interface;', 'generate, using the tagging application template, a plurality of custom tagging applications based on the workflow rules data;', 'receive a first tagging data for the media asset;', 'determine at least a first constraint for tagging the media asset based on the first tagging data;', 'receive an additional tagging data for the media asset;', 'determine at least a second constraint for tagging the media asset based on the additional tagging data;', 'tag the media asset, using the multi-contributor synthesis module, based on the first tagging data and the additional tagging data, subject to the at least first constraint and the at least second constraint., 'wherein the hardware processor ...

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Номер записи: 4
09-04-2020 дата публикации

MACHINE LEARNING COLOR SCIENCE CONVERSION

Номер: US20200111447A1
Автор: GRUBIN Kari M., NARAYAN Nimesh C., WAHLQUIST Andrew J., Yaacob Yazmaliza
Принадлежит:

Techniques are disclosed for converting image frames from one color space to another while predicting artistic choices that a director, colorist, or others would make. In one configuration, a color conversion application receives image frames, an indication of color spaces to convert between, and metadata associated with the image frames and/or regions therein. The conversion application determines a global, base color conversion for the image frames using a predefined color space transformation. Then, the conversion application (optionally) extracts image regions depicting objects of interest in the image frames, after which the color conversion application processes each of the extracted image regions and the remaining image frames (after the extracted regions have been removed) using one or more functions determined using machine learning. The processed extracted regions and remainders of the image frames are then combined by the color conversion application for output. 1. A computer-implemented method for converting image frames from a first color space to a second color space , the method comprising:receiving one or more image frames represented in the first color space, the one or more image frames being associated with corresponding metadata; and 'converting the image frame from the first color space to the second color space by processing the image frame and at least a portion of the corresponding metadata associated with the image frame using at least one function determined using machine learning.', 'for each image frame of the one or more image frames2. The method of claim 1 , wherein the corresponding metadata includes metadata indicating at least one of a camera lens used to capture the one or more image frames claim 1 , whether the one or more image frames depict digital or film images claim 1 , whether the one or more image frames depict live action or animated content claim 1 , a year claim 1 , image characteristics claim 1 , objects in the one or ...

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Номер записи: 5
27-09-2018 дата публикации

Metadata Extraction and Management

Номер: US20180276286A1
Автор: Accardo Anthony M., Beltran Sanchidrian Pablo, FARRÉ GUIU Miquel Angel, JUNYENT MARTIN Marc, Narayan Nimesh, PONT-TUSET Jordi, Sigal Leonid, Smolic Aljoscha
Принадлежит:

There is provided a system including a computing platform having a hardware processor and a memory, and a metadata extraction and management unit stored in the memory. The hardware processor is configured to execute the metadata extraction and management unit to extract a plurality of metadata types from a media asset sequentially and in accordance with a prioritized order of extraction based on metadata type, aggregate the plurality of metadata types to produce an aggregated metadata describing the media asset, use the aggregated metadata to include at least one database entry in a graphical database, wherein the at least one database entry describes the media asset, display a user interface for a user to view tags of metadata associated with the media asset, and correcting presence of one of the tags of metadata associated with the media asset, in response to an input from the user via the user interface. 125-. (canceled)26: A system comprising:a computing platform having a hardware processor and a system memory;a metadata extraction and management unit stored in the system memory; extract a plurality of metadata types from a media asset sequentially and in accordance with a prioritized order of extraction based on metadata type;', 'aggregate the plurality of metadata types to produce an aggregated metadata describing the media asset;', 'use the aggregated metadata to include at least one database entry in a graphical database, wherein the at least one database entry describes the media asset;', 'display a user interface for a user to view tags of metadata associated with the media asset; and', 'correcting presence of one of the tags of metadata associated with the media asset, in response to an input from the user via the user interface., 'wherein the hardware processor is configured to execute the metadata extraction and management unit to27: The system of claim 26 , wherein the hardware processor is further configured to execute the metadata extraction and ...

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Номер записи: 6
22-10-2015 дата публикации

METHODS AND SYSTEMS OF ARCHIVING MEDIA FILES

Номер: US20150302039A1
Автор: Narayan Nimesh, Yaacob Yazmaliza
Принадлежит: Disney Enterprises, Inc.

Methods and systems of archiving media files are provided. Media files may be archived such that only the difference between a media file and a base media file is stored. The base media file is archived. The media file to be archived and the base media file may have common attributes such as video codec, resolution, frame rate, and/or color space. A media file to be archived may be compared to the base media file to determine any difference. Bit-to-bit analysis or frame-to-frame analysis may be performed to identify the differences between a media file to be archived and a base media file. The differences may be extracted from the media file to be archived. A difference media file may be created to store the difference of a media file with respect to the base media file. A record may be created to store the actual location where the difference is extracted from a media file to be archived. 1. A computer-implemented method , comprising:receiving a first media file;identifying a set of differences between the first media file and the second media file by comparing the first media file to the second media file, the set of differences being referenced to the second media file; andcreating and storing a third media file and a record, the third media file storing the set of differences, and the record configured to produce the first media file based on the second media file and the third media file.2. The method of claim 1 , wherein the second media file is a base media file and the first media file is a derivative of the second media file.3. The method of claim 1 , wherein the step of comparing the first media file to the second media file comprises conducting a bit-to-bit comparison of the first media file and the second media file.4. The method of claim 3 , wherein the set of differences comprises a set of bits of the first media file claim 3 , wherein each bit of the set of bits of the first media file differs from a corresponding bit in the second media file.5. The ...

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Номер записи: 7
24-09-2020 дата публикации

ASPECT RATIO CONVERSION WITH MACHINE LEARNING

Номер: US20200304755A1
Автор: GRUBIN Kari M., NARAYAN Nimesh C., WAHLQUIST Andrew J., Yaacob Yazmaliza
Принадлежит:

Techniques are disclosed for converting image frames, such as the image frames of a motion picture, from one aspect ratio to another while predicting the pan and scan framing decisions that a human operator would make. In one configuration, one or more functions for predicting pan and scan framing decisions are determined, at least in part, via machine learning using training data that includes historical pan and scan conversions. The training data may be prepared by extracting features indicating visual and/or audio elements associated with particular shots, among other things. Function(s) may be determined, using machine learning, that take such extracted features as input and output predicted pan and scan framing decisions. Thereafter, the image frames of a received video may be converted between aspect ratios on a shot-by-shot basis, by extracting the same features and using the function(s) to make pan and scan framing predictions. 1. A computer-implemented method for converting image frames between aspect ratios , the method comprising:determining using machine learning at least one aspect ratio conversion function based, at least in part, on (i) extracted features which indicate at least one of visual or audio elements associated with first image frames in shots from videos in a first aspect ratio, and (ii) manual framing decisions in pan and scan conversions of the first image frames to corresponding second image frames in a second aspect ratio;identifying shots in a received video; andfor each image frame in each shot of the identified shots, converting the image frame from the first aspect ratio to the second aspect ratio using one of the at least one aspect ratio conversion function.2. The computer-implemented method of claim 1 , wherein the converting the image frame from the first aspect ratio to the second aspect ratio includes inputting extracted features indicating at least one of visual or audio elements associated with one or more image frames in ...

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Номер записи: 8
18-05-2021 дата публикации

Metadata extraction and management

Номер: US11010398B2
Автор: Aljoscha Smolic, Anthony M. Accardo, Jordi Pont-Tuset, leonid Sigal, Marc Junyent Martin, Miquel Angel Farre Guiu, Nimesh Narayan, Pablo Beltran
Принадлежит: Disney Enterprises Inc

There is provided a system including a computing platform having a hardware processor and a memory, and a metadata extraction and management unit stored in the memory. The hardware processor is configured to execute the metadata extraction and management unit to extract a plurality of metadata types from a media asset sequentially and in accordance with a prioritized order of extraction based on metadata type, aggregate the plurality of metadata types to produce an aggregated metadata describing the media asset, use the aggregated metadata to include at least one database entry in a graphical database, wherein the at least one database entry describes the media asset, display a user interface for a user to view tags of metadata associated with the media asset, and correcting presence of one of the tags of metadata associated with the media asset, in response to an input from the user via the user interface.

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Номер записи: 9
23-03-2023 дата публикации

Systems and Methods for Intelligent Media Content Segmentation and Analysis

Номер: US20230092847A1
Автор: Alan Pao, Alexis J. Lindquist, Anthony M. Accardo, Jack Luu, Katharine (Kaki) S. Ettinger, Lena Volodarsky Bareket, Matthew C. PETRILLO, Miquel Angel Farre Guiu, Nimesh Narayan
Принадлежит: Disney Enterprises Inc

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.

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Номер записи: 10
21-05-2024 дата публикации

Systems and methods for intelligent media content segmentation and analysis

Номер: US11991417B2
Автор: Alan Pao, Alexis J. Lindquist, Anthony M. Accardo, Jack Luu, Katharine (Kaki) S. Ettinger, Lena Volodarsky Bareket, Matthew C. PETRILLO, Miquel Angel Farre Guiu, Nimesh Narayan
Принадлежит: Disney Enterprises Inc

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.

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Номер записи: 11
12-06-2018 дата публикации

Methods and systems of archiving media files

Номер: US09998748B2
Автор: Nimesh Narayan, Yazmaliza Yaacob
Принадлежит: Disney Enterprises Inc

Methods and systems of archiving media files are provided. Media files may be archived such that only the difference between a media file and a base media file is stored. The base media file is archived. The media file to be archived and the base media file may have common attributes such as video codec, resolution, frame rate, and/or color space. A media file to be archived may be compared to the base media file to determine any difference. Bit-to-bit analysis or frame-to-frame analysis may be performed to identify the differences between a media file to be archived and a base media file. The differences may be extracted from the media file to be archived. A difference media file may be created to store the difference of a media file with respect to the base media file. A record may be created to store the actual location where the difference is extracted from a media file to be archived.

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Номер записи: 12