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公开(公告)号:US11256752B2
公开(公告)日:2022-02-22
申请号:US16401619
申请日:2019-05-02
Applicant: Samsung Electronics Co., Ltd.
Inventor: Barath Raj Kandur Raja , Ankur Agarwal , Arko Sabui , Arjun Raj Kumar S , Shashank Sriram , Himanshi Sinha , Ketki Aniruddha Gupte , Vibhav Agarwal
IPC: G06F16/9032 , G06F16/93 , G06F40/30 , G06F40/295
Abstract: An electronic device for providing contextual recommendations and a method therefor are provided. The electronic device includes a memory storing instructions, and at least one processor configured to execute the instructions to obtain text including characters, identify, based on a language model, a domain corresponding to the text, identify a reference of the characters based on the domain, and perform, based on the reference, an action related to the domain.
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公开(公告)号:US20230252243A1
公开(公告)日:2023-08-10
申请号:US18132165
申请日:2023-04-07
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sumit Kumar , Barath Raj Kandur Raja , Yashwant Singh Saini , Sourabh Vasant Gothe , Harichandana Bhogaraju Swarajya Sai , Chandramouli Sanchi , Himanshu Arora , Vibhav Agarwal
IPC: G06F40/40 , G06F40/232 , G06F40/284 , G06F16/335
CPC classification number: G06F40/40 , G06F40/232 , G06F40/284 , G06F16/337
Abstract: Present disclosure relates to a method and a user equipment (UE) for enhancing multimodal input content. The UE obtains text-blocks associated with multimodal input and determines a plurality of features for each of the text-blocks using a natural language processing (NLP) model and a neural network (NN) model. Further, the UE identifies usage pattern of the plurality of features based on historic data associated with the usage of the plurality of features using NN model. Thereafter, the UE generates personalized text for each of the textblocks based on the plurality of features and usage pattern. The UE inserts personalized emoticons based on context of text-blocks and lingo of each word using user lingo database. Thus, the UE eliminates manual correction of texts and enhances the readability of message/text entered by user.
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公开(公告)号:US20240354350A1
公开(公告)日:2024-10-24
申请号:US18760461
申请日:2024-07-01
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Naresh PURRE , Sriram Shashank , Sri Lakshmi Punuru , Barath Raj Kandur Raja , Vanraj Vala , Aayush Yadav , Aditi Anil Kagane , Sudeep Kumar Kodali , Rishabh Kumar , Srinivasa Rao Siddi , Manjunath Bhimappa Ujjinakoppa , Mansoor Variyathapara Mohammed , Hemant Tiwari , Dwakara Bhamidipati Sreevatsa , Ankita Bhardwaj , Vipin Rao , Likhith Amarvaj , Vibhav Agarwal , Yashwant Singh Saini , Himanshu Arora , Muthu Kumaran , Seungseok Kang , Sanguk Jeon , Jaehoon Park , Pilsik Choi , Hojun Jaygarl , Shweta Ratanpura , Mritunjai Chandra
IPC: G06F16/9535 , G06F16/901 , G06F16/9538 , G06N5/022
CPC classification number: G06F16/9535 , G06F16/9027 , G06F16/9538 , G06N5/022
Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.
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公开(公告)号:US20240304010A1
公开(公告)日:2024-09-12
申请号:US18609887
申请日:2024-03-19
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Sourabh Vasant Gothe , Vibhav Agarwal , Jayesh Rajkumar Vachhani , Sourav Ghosh
CPC classification number: G06V20/95 , G06T7/11 , G06T7/20 , G06V10/774 , G06V10/806 , G06V20/41 , G06V20/46 , G06T2207/10016 , G06T2207/20081 , G06T2207/20084 , G06T2207/30196 , G06T2207/30241 , G06V10/82
Abstract: A method for detecting artificial intelligence (AI) generated content in a video, includes: receiving the video comprising a plurality of frames; detecting, an object, a person, and a background in each frame; determining pixel-motion information of each pixel in each frame; determining a relationship among the object, the person, and the background and the corresponding pixel-motion information in each frame; determining one or more intrinsic properties of the object, the person, and the background in each frame based on the relationship among the object, the person, and the background and the corresponding pixel-motion information; detecting inconsistent motion of the object, the person, and the background in at least one frame of the video based on the one or more intrinsic properties of the object, the person, and the background; and indicating AI generated content in the at least one frame based on the detected inconsistent motion.
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公开(公告)号:US12026209B2
公开(公告)日:2024-07-02
申请号:US17961315
申请日:2022-10-06
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Naresh Purre , Sriram Shashank , Sri Lakshmi Punuru , Barath Raj Kandur Raja , Vanraj Vala , Aayush Yadav , Aditi Anil Kagane , Sudeep Kumar Kodali , Rishabh Kumar , Srinivasa Rao Siddi , Manjunath Bhimappa Ujjinakoppa , Mansoor Variyathapara Mohammed , Hemant Tiwari , Dwakara Bhamidipati Sreevatsa , Ankita Bhardwaj , Vipin Rao , Likhith Amarvaj , Vibhav Agarwal , Yashwant Singh Saini , Himanshu Arora , Muthu Kumaran , Seungseok Kang , Sanguk Jeon , Jaehoon Park , Pilsik Choi , Hojun Jaygarl , Shweta Ratanpura , Mritunjai Chandra
IPC: G06F16/00 , G06F16/901 , G06F16/9535 , G06F16/9538 , G06N5/022
CPC classification number: G06F16/9535 , G06F16/9027 , G06F16/9538 , G06N5/022
Abstract: Example systems and methods provide input suggestions to a user to improve user experience on user devices. The input suggestions can be fill information from another app on device to the present app being used by user, information for performing a search (without the user having to copy-paste data or entering the data manually), responses to a message/notification received by the user, information/content/data to be shared between apps (without switching between apps), and emojis/GIFs that can be used by the user. The method includes analyzing one or more content of one or more screen displayed on device, generating at least one of a logical tree structure and a data mashup model of the one or more analyzed content for each screen, and providing a recommendation to a user. The recommendation can be a connected action or an input suggestion.
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公开(公告)号:US11573697B2
公开(公告)日:2023-02-07
申请号:US17111038
申请日:2020-12-03
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Barath Raj Kandur Raja , Ankur Agarwal , Bharath C , Harshavardhana , Ishan Vaid , Kranti Chalamalasetti , Mritunjai Chandra , Vibhav Agarwal
IPC: G06N3/08 , G06F3/04886 , G06F17/18 , G06N3/04
Abstract: Methods and systems for predicting keystrokes using a neural network analyzing cumulative effects of a plurality of factors impacting the typing behavior of a user. The factors may include typing pattern, previous keystrokes, specifics of keyboard used for typing, and contextual parameters pertaining to a device displaying the keyboard and the user. A plurality of features may be extracted and fused to obtain a plurality of feature vectors. The plurality of feature vectors can be optimized and processed by the neural network to identify known features and learn unknown features that are impacting the typing behavior. Thereby, the neural network predicts keystrokes using the known and unknown features.
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公开(公告)号:US10831283B2
公开(公告)日:2020-11-10
申请号:US15612444
申请日:2017-06-02
Applicant: SAMSUNG ELECTRONICS CO., LTD.
Inventor: Barath Raj Kandur Raja , Balaji Vijayanagaram Ramalingam , Harshavardhana Poojari , Raju Suresh Dixit , Sreevatsa Dwaraka Bhamidipati , Srinivasa Rao Siddi , Kalyan Kakani , Vibhav Agarwal , Yashwant Saini
IPC: G06F40/274 , G06F40/35 , G06F3/023 , G06F40/30 , G06F3/0488
Abstract: An electronic device and a method for predicting a response are provided. The electronic device includes a display and a processor configured to receive at least one message, identify at least one contextual category of the at least one message, predict at least one response for the at least one message from a language model based on the at least one contextual category, and control the display to display the at least one predicted response.
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