公开(公告)号：US20200257972A1

公开(公告)日：2020-08-13

申请号：US16637638

申请日：2018-08-08

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Narasinga Rao MINISKAR ,  Sirish Kumar PASUPULETI ,  Raj Narayana GADDE ,  Ashok VISHNOI ,  Vasanthakumar RAJAGOPAL ,  Chandra Kumar RAMASAMY

IPC: G06N3/08 ,  G06F12/02 ,  G06N5/04

Abstract: The present disclosure disclose method and apparatus for determining memory requirement for processing a DNN model on a device, a method includes receiving a DNN model for an input, wherein the DNN model includes a plurality of processing layers. The method includes generating a network graph of the DNN model. The method includes creating a colored network graph of the DNN model based on the identified execution order of the plurality of processing layers. The colored network graph indicates assignment of at least one memory buffer for storing at least one output of at least one processing layer. The method includes determining at least one buffer reuse overlap possibility across the plurality of processing layers. Based on the determined at least one buffer reuse overlap possibility, the method includes determining and assigning the memory required for processing the DNN model.

公开(公告)号：US20220385914A1

公开(公告)日：2022-12-01

申请号：US17868421

申请日：2022-07-19

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Sirish Kumar PASUPULETI ,  Raj Narayana GADDE ,  Sarvesh ,  Kinsuk DAS ,  Ankit SINGH ,  Sai Harish AVULA

IPC: H04N19/132 ,  H04N19/30 ,  H04N19/86 ,  H04N19/172

Abstract: The present disclosure refers to methods and apparatuses for processing of high-resolution video content. In an embodiment, a method includes generating a first group of video frames from the video content. The first group of video frames has a first resolution lower than a resolution of the video content and a first rate-distortion score. The method further includes generating a second group of video frames from the video content. The second group of video frames has a second resolution lower than the resolution of the video content and a second rate-distortion score. The method further includes selecting an optimal group of video frames from the first and second groups of video frames based on a comparison between the first and second rate-distortion scores. The optimal group of video frames has a rate-distortion score lower than the first and the second rate-distortion scores.

公开(公告)号：US20230206411A1

公开(公告)日：2023-06-29

申请号：US18111225

申请日：2023-02-17

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Balvinder SINGH ,  Raj Narayana GADDE ,  Alok Shankarlal SHUKLA ,  Sirish Kumar PASUPULETI ,  Narasimha Gopalakrishna PAI ,  Prajit Sivasankaran NAIR

IPC: G06T5/50 ,  G06T3/40 ,  G06T9/00

CPC classification number: G06T5/50 ,  G06T3/4015 ,  G06T9/00 ,  G06T2207/20084

Abstract: A method for generating metadata pertaining to a RAW frame includes selecting an input frame from a captured RAW frame, a plurality of frames obtained by processing the captured RAW frame, and a scaled RAW frame, selecting identified salient regions in an output frame, constructed from the captured RAW frame, based on errors between regions of the input frame and a corresponding reconstruction of the region of the input frame from the identified salient regions in the output frame, obtaining a plurality of reconstructed frames, reconstructed from a plurality of blocks of each salient region, corresponding to a plurality of regions of the input frame, and generating metadata for reconstructing the captured RAW frame by encoding a plurality of errors between the plurality of reconstructed frames and corresponding plurality of regions of the input frame, and a reconstruction technique used for reconstructing the plurality of reconstructed frames.

公开(公告)号：US20220108427A1

公开(公告)日：2022-04-07

申请号：US17550751

申请日：2021-12-14

Applicant: SAMSUNG ELECTRONICS CO., LTD.

Inventor： Beomsu KIM ,  Balvinder SINGH ,  Alok Shankarlal SHUKLA ,  Jisung YOO ,  Narasimha Gopalakrishna PAI ,  Prajit Sivasankaran NAIR ,  Raj Narayana GADDE ,  Sungsoo CHOI ,  Sirish Kumar PASUPULETI

IPC: G06T5/00 ,  G06N20/00 ,  G06F16/58 ,  G06F16/583

Abstract: Example embodiments include a method and an electronic device for detecting and removing artifacts/degradations in media. Embodiments may detect artifacts and/or degradations in the media based on tag information indicating at least one artifact included in the media. The detection may be triggered automatically or manually. Embodiments may generate artifact/quality tag information associated with the media to indicate artifacts and/or degradations present in the media, and may store the artifact/quality tag information as metadata and/or in a database. Embodiments may identify, based on the artifact/quality tag information associated with the media, at least one artificial intelligence (AI)-based media processing model to be applied to the media to enhance the media. The at least one AI-based media processing model may be configured to enhance at least one artifact detected in the media. Embodiments may enhance the media by applying the at least one AI-based media enhancement model to the media.