公开(公告)号：US20230259553A1

公开(公告)日：2023-08-17

申请号：US18138620

申请日：2023-04-24

Applicant: Sony Interactive Entertainment Inc.

Inventor： Sudha Krishnamurthy ,  Justice Adams ,  Arindam Jati ,  Masanori Omote ,  Jian Zheng

IPC: G06F16/65 ,  A63F13/60 ,  G10L13/02 ,  G06V20/20 ,  G10L15/16 ,  G10L15/26 ,  G06N3/045 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V10/44 ,  G06V20/70 ,  G06V20/40

CPC classification number: G06F16/65 ,  A63F13/60 ,  G10L13/02 ,  G06V20/20 ,  G10L15/16 ,  G10L15/26 ,  G06N3/045 ,  G06V10/764 ,  G06V10/776 ,  G06V10/82 ,  G06V10/454 ,  G06V20/70 ,  G06V20/41 ,  G06V20/44

Abstract: A system enhances existing audio-visual content with an action a scene annotation module, an action description module, both of which are coupled to a controller. The scene annotation module classifies scene elements from an image frame received from a host system and generates a caption describing the scene elements. The scene annotation module includes a first neural network configured to generate a feature vector from the image frame and a second neural network configured to generate a caption describing elements within the image frame from the feature vector. The action description module recognizes action happening within one or more image frames received from the host system and generates a description of the action happening within one or more image frames.

公开(公告)号：US11631225B2

公开(公告)日：2023-04-18

申请号：US17227747

申请日：2021-04-12

Applicant: Sony Interactive Entertainment Inc.

Inventor： Sudha Krishnamurthy ,  Ashish Singh ,  Naveen Kumar ,  Justice Adams ,  Arindam Jati ,  Masanori Omote

IPC: G06T19/00 ,  G06T19/20 ,  G06N3/04 ,  A63F13/60

Abstract: Graphical style modification may be implemented using machine learning. A color accommodation module receives an image frame from a host system and generates a color-adapted version of the image frame. A Graphical Style Modification module generates a style adapted video stream by applying a style adapted from a target image frame to each image frame in a buffered video stream.

公开(公告)号：US20200234710A1

公开(公告)日：2020-07-23

申请号：US16843799

申请日：2020-04-08

Applicant: Sony Interactive Entertainment Inc.

Inventor： Marie Kitajima ,  Masanori Omote

IPC: G10L15/22 ,  G10L15/08 ,  G06F3/16

Abstract: A chatbot learns a person's related “intents” when asking for information and thereafter, in response to an initial query, which the chatbot answers, the chatbot generates a secondary dialogue, either providing the person with additional information or inquiring as to whether the person wishes to know more about a subject. The chatbot may use an external trigger such as time, event, etc. and automatically generate a query or give information to the person without any initial query from the person.

公开(公告)号：US20190172240A1

公开(公告)日：2019-06-06

申请号：US15833680

申请日：2017-12-06

Applicant: Sony Interactive Entertainment Inc.

Inventor： Marie Kitajima ,  Masanori Omote

IPC: G06T13/20 ,  G06T13/40 ,  G10L15/08 ,  G10L15/22 ,  G10L15/30 ,  G10L13/04

Abstract: An avatar's lips are animated using visemes derived from a response to a digital assistant query in synchronization with playing the response.

公开(公告)号：US20190102684A1

公开(公告)日：2019-04-04

申请号：US15724011

申请日：2017-10-03

Applicant: Sony Interactive Entertainment Inc.

Inventor： Erik Beran ,  Michael Taylor ,  Masanori Omote

IPC: G06N5/02 ,  G06F11/34 ,  G05B23/02 ,  H04L29/08 ,  G06F15/18

Abstract: A method for building an artificial intelligence (AI) model. The method includes accessing data related to monitored behavior of a user. The data is classified, wherein the classes include an objective data class identifying data relevant to a group of users including the user, and a subjective data class identifying data that is specific to the user. Objective data is accessed and relates to monitored behavior of a plurality of users including the user. The method includes providing as a first set of inputs into a deep learning engine performing AI the objective data and the subjective data of the user, and a plurality of objective data of the plurality of users. The method includes determining a plurality of learned patterns predicting user behavior when responding to the first set of inputs. The method includes building a local AI model of the user including the plurality of learned patterns.