公开(公告)号：US20120109961A1

公开(公告)日：2012-05-03

申请号：US13344400

申请日：2012-01-05

Applicant: Igal RAICHELGAUZ ,  Karina ODINAEV ,  Yehoshua Y. ZEEVI

Inventor： Igal RAICHELGAUZ ,  Karina ODINAEV ,  Yehoshua Y. ZEEVI

IPC: G06F17/30

CPC classification number: G06F17/30056 ,  H04H20/103 ,  H04H20/26 ,  H04H60/37 ,  H04H60/46 ,  H04H60/56 ,  H04H60/66 ,  H04L67/10 ,  H04N7/17318 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/466 ,  H04N21/8106

Abstract: A system for generating personalized channels of multimedia content. The system comprises an interface to one or more multimedia sources, wherein the multimedia sources provide multimedia content to the personalized channels of multimedia content; and a server for receiving multimedia content from the one or more multimedia sources through the interface and for serving selected multimedia content to users of the system over one or more of the personalized channels; wherein a user of the system receives personalized multimedia content gathered by the server into the one or more of the personalized channels responsive of preferences of the user as observed by the system for the user.

Abstract translation: 一种用于生成多媒体内容的个性化频道的系统。 该系统包括到一个或多个多媒体源的接口，其中多媒体源向多媒体内容的个性化信道提供多媒体内容; 以及服务器，用于经由所述接口从所述一个或多个多媒体源接收多媒体内容，以及通过一个或多个所述个性化频道向所述系统的用户提供所选择的多媒体内容; 其中所述系统的用户根据所述系统为用户所观察到的偏好，接收由所述服务器收集的个性化多媒体内容到所述一个或多个所述个性化通道中。

公开(公告)号：US20090043818A1

公开(公告)日：2009-02-12

申请号：US12195863

申请日：2008-08-21

Applicant: Igal RAICHELGAUZ ,  Karina ODINAEV ,  Yehoshua Y. ZEEVI

Inventor： Igal RAICHELGAUZ ,  Karina ODINAEV ,  Yehoshua Y. ZEEVI

IPC: G06F17/30

CPC classification number: G06F17/30595 ,  G06F17/3002 ,  G06F17/30026 ,  G06F17/30047 ,  G06F17/30743 ,  G06F17/30746 ,  G06F17/30787 ,  G06F17/30796 ,  G06F17/30799 ,  G06K9/00744 ,  G10L15/26 ,  G10L15/265 ,  G10L15/32

Abstract: Content-based clustering, recognition, classification and search of high volumes of multimedia data in real-time. The invention is dedicated to real-time fast generation of signatures to high-volume of multimedia content-segments, based on relevant audio and visual signals, and to scalable matching of signatures of high-volume database of content-segments' signatures. The invention can be implemented in any applications which involve large-scale content-based clustering, recognition and classification of multimedia data, such as, content-tracking, video filtering, multimedia taxonomy generation, video fingerprinting, speech-to-text, audio classification, object recognition, video search and any other application requiring content-based signatures generation and matching for large content volumes such as, web and other large-scale databases.

Abstract translation: 基于内容的聚类，识别，分类和实时搜索大量的多媒体数据。 本发明专用于基于相关的音频和视频信号实时快速生成大量多媒体内容片段的签名，以及内容片段签名的大容量数据库的签名的可扩展匹配。 本发明可以在涉及大量基于内容的聚类，多媒体数据的识别和分类的任何应用中实现，诸如内容跟踪，视频过滤，多媒体分类生成，视频指纹识别，语音对文本，音频分类 ，对象识别，视频搜索以及需要基于内容的签名生成和匹配等任何其他应用程序的大内容卷，如Web和其他大型数据库。

公开(公告)号：US11758004B2

公开(公告)日：2023-09-12

申请号：US16726933

申请日：2019-12-26

Applicant: Cortica Ltd.

Inventor： Igal Raichelgauz ,  Karina Odinaev ,  Yehoshua Y. Zeevi

IPC: G06F16/00 ,  H04L67/306 ,  H04H60/46 ,  H04N21/2668 ,  H04N7/173 ,  H04N21/258 ,  H04N21/81 ,  G06F16/9535 ,  H04N21/466

CPC classification number: H04L67/306 ,  G06F16/9535 ,  H04H60/46 ,  H04N7/17318 ,  H04N21/25891 ,  H04N21/2668 ,  H04N21/466 ,  H04N21/8106 ,  H04H2201/90

Abstract: A system and method for providing recommendations based on current user interests. The method includes identifying at least one current variable, wherein each current variable is associated with a user device or a user; determining, based on the identified at least one current variable, at least one current user interest of a user profile, the user profile including at least one contextual insight, wherein each contextual insight is based on at least one signature for at least one multimedia content element associated with the user; searching for at least one multimedia content element that matches the at least one current user interest; and causing a display of the at least one matching content item as a recommendation.

公开(公告)号：US20230230341A1

公开(公告)日：2023-07-20

申请号：US18155725

申请日：2023-01-17

Applicant: Cortica Ltd.

Inventor： Karina Odinaev

IPC: G06V10/26 ,  G06V10/44 ,  G06V10/20 ,  G06V10/774

CPC classification number: G06V10/26 ,  G06V10/44 ,  G06V10/255 ,  G06V10/774 ,  G06V2201/10

Abstract: A method for concept based segmentation, the method may include (a) detecting an object within a region of an image; wherein the object is associated with characteristic pixels metadata that indicative of multiple examples of pixels properties of pixels that are included in at least one appearance of the object within at least one image; and (b) finding, within the region, one or more object boundaries, based on the characteristic pixels metadata.

公开(公告)号：US11694088B2

公开(公告)日：2023-07-04

申请号：US16782087

申请日：2020-02-05

Applicant: Cortica Ltd.

Inventor： Igal Raichelgauz ,  Eli Passov

IPC: G06N3/08 ,  G06N3/088 ,  G06N3/045 ,  G06N3/048

CPC classification number: G06N3/088 ,  G06N3/045 ,  G06N3/048

Abstract: A method that may include training a student ODNN to mimic a teacher ODNN. The training may include calculating a teacher student detection loss that is based on a pre-bounding-box output of the teacher ODNN. The pre-bounding-box output of the teacher ODNN is a function of pre-bounding-box outputs of different ODNNs that belong to the teacher ODNN. The method may also include detecting one or more objects in an image, by feeding the image to the trained student ODNN; outputting by the trained student ODNN a student pre-bounding-box output; and calculating one or more bounding boxes based on the student pre-bounding-box output.

公开(公告)号：US20230177405A1

公开(公告)日：2023-06-08

申请号：US17755822

申请日：2020-11-09

Applicant: Cortica Ltd.

Inventor： Karina Odinaev

IPC: G06N20/20 ,  G06N3/08

CPC classification number: G06N20/20 ,  G06N3/08

Abstract: A method for operating an ensemble of narrow AI agents, the method may include obtaining one or more sensed information units; determining, by a perception unit and based on the one or more sensed information units, one or more relevant narrow AI agents of the ensemble, that are relevant to a processing of the one or more sensed information units; wherein the ensemble is relevant to a first plurality of scenarios; processing the one or more sensed information units, by the one or more relevant narrow AI agents, to provide one or more narrow AI agent outputs; and processing, by an intermediate result unit, the one or more narrow AI agent outputs to provide an intermediate result; and generating a response, by a response unit, based on the intermediate result; wherein each narrow AI agent is relevant to a respective fraction of the first plurality of scenarios.

公开(公告)号：US11543360B2

公开(公告)日：2023-01-03

申请号：US16942712

申请日：2020-07-29

Applicant: Cortica Ltd.

Inventor： Igal Raichelgauz ,  Karina Odinaev

IPC: G01N21/87 ,  G01N33/38 ,  G06V10/56 ,  G06K9/62 ,  G01J3/46 ,  G01N21/95 ,  G06V10/42 ,  G06V10/75 ,  B07B13/00

Abstract: A method for generating a highly distinctive signature of a certain diamond, the method may include generating, based on one or more images of the certain diamond, a certain diamond signature of the certain diamond; finding, out of a group of reference diamonds, other diamonds having other diamond signatures; wherein the finding comprises calculating similarities between the certain diamond signature and reference diamond signatures of the reference diamonds of the group; and generating a new certain diamond signature that significantly differs from signatures of the other diamonds.

公开(公告)号：US20220343620A1

公开(公告)日：2022-10-27

申请号：US17594001

申请日：2020-03-25

Applicant: Cortica, Ltd.

Inventor： Igal Raichelgauz ,  karina Odinaev

IPC: G06V10/20 ,  G06V10/422 ,  G06V10/50

Abstract: Systems, and method and computer readable media that store instructions for calculating signatures, utilizing signatures and the like, wherein for a low-power calculation of a signature, the method comprises: receiving or generating a media unit of multiple objects: processing the media unit by performing multiple iterations, determining a relevancy of the spanning elements of the iteration; completing the dimension expansion process by relevant spanning elements of the iteration and reducing a power consumption of irrelevant spanning; determining identifiers that are associated with significant portions of an output of the multiple iterations; and providing a signature that comprises the identifiers and represents the multiple objects.

公开(公告)号：US20220182535A1

公开(公告)日：2022-06-09

申请号：US17643159

申请日：2021-12-07

Applicant: Cortica Ltd.

Inventor： Karina ODINAEV

IPC: H04N5/232 ,  G06V10/74 ,  G06V20/00 ,  B64C39/02

Abstract: A method for filming an event by an autonomous drone, the method may include acquiring, by the autonomous drone, a current set of images of the event; generating signatures of the current set of images to provide current signatures; searching for one or more relevant concept structures out of a group of concept structures; wherein each relevant concept structure comprises at least one signature that matches at least one of first signatures; wherein each concept structure is associated with filming parameters; and determining, at least in part, based on the filming parameters associated with at least one of the one or more relevant concept structures, next filming parameters to be applied during an acquisition of one or more next sets of images.

公开(公告)号：US20220027742A1

公开(公告)日：2022-01-27

申请号：US17443476

申请日：2021-07-27

Applicant: Cortica Ltd.

Inventor： Karina ODINAEV

IPC: G06N3/08 ,  G06N3/04 ,  G06K9/62

Abstract: A method for an unsupervised training of a neural network, the method may include initializing a neural network that exhibits at least one invariance; performing multiple training iterations until reaching a last training iteration in which a stop condition is fulfilled; wherein each training iteration except the last training iteration comprises: processing a vast number of media units by the neural network to provide media unit signatures; finding that the stop condition is not reached, and changing multiple neural network weights; wherein the stop condition is related to signatures similarities.