VIDEO DEPTH ESTIMATION BASED ON TEMPORAL ATTENTION

Patent №

US 11,527,005

Granted

2022-12-13

Filed 2020

Owner

SAMSUNG ELECTRONICS CO., LTD.

Lab

AI components

6

ml · nlp · vision · speech · evo · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16841618

A method of depth detection based on a plurality of video frames includes receiving a plurality of input frames including a first input frame, a second input frame, and a third input frame respectively corresponding to different capture times, convolving the first to third input frames to generate a first feature map, a second feature map, and a third feature map corresponding to the different capture times, calculating a temporal attention map based on the first to third feature maps, the temporal attention map including a plurality of weights corresponding to different pairs of feature maps from among the first to third feature maps, each weight of the plurality of weights indicating a similarity level of a corresponding pair of feature maps, and applying the temporal attention map to the first to third feature maps to generate a feature map with temporal attention.

Machine learningNatural languageVisionSpeechEvolutionary computationAI hardwareG06T 7/579G06N 3/045G06N 3/0464G06N 3/084G06N 3/09G06T 7/194G06T 3/18G06T 2207/10016+3 more

AI classification

Vision1.00
Machine learning1.00
Speech0.97
AI hardware0.89
Natural language0.85
Evolutionary computation0.67
Knowledge representation0.22
Planning0.00

Ownership

SAMSUNG ELECTRONICS CO., LTD.

assignment · 523460297

Assignors

REN, HAOYU, EL-KHAMY, MOSTAFA, LEE, JUNGWON, REN, HAOYU, EL-KHAMY, MOSTAFA, LEE, JUNGWON

On an employer assignment, the assignors are typically the inventors.

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