SG11202107121VA - Method and apparatus for processing images, device and storage medium - Google Patents

Method and apparatus for processing images, device and storage medium

Info

Publication number
SG11202107121VA
SG11202107121VA SG11202107121VA SG11202107121VA SG11202107121VA SG 11202107121V A SG11202107121V A SG 11202107121VA SG 11202107121V A SG11202107121V A SG 11202107121VA SG 11202107121V A SG11202107121V A SG 11202107121VA SG 11202107121V A SG11202107121V A SG 11202107121VA
Authority
SG
Singapore
Prior art keywords
storage medium
processing images
images
processing
medium
Prior art date
Application number
SG11202107121VA
Other languages
English (en)
Inventor
Zhuanghui Zhang
Zhujin Liang
Jundong Wang
Depeng Liang
Shuye Zhang
Original Assignee
Bigo Tech Pte Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Bigo Tech Pte Ltd filed Critical Bigo Tech Pte Ltd
Publication of SG11202107121VA publication Critical patent/SG11202107121VA/en

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/80—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level
    • G06V10/806—Fusion, i.e. combining data from various sources at the sensor level, preprocessing level, feature extraction level or classification level of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/214—Generating training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/25—Fusion techniques
    • G06F18/253—Fusion techniques of extracted features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/045—Combinations of networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00—Computing arrangements based on biological models
    • G06N3/02—Neural networks
    • G06N3/08—Learning methods
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
    • G06T7/00—Image analysis
    • G06T7/30—Determination of transform parameters for the alignment of images, i.e. image registration
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/77—Processing image or video features in feature spaces; using data integration or data reduction, e.g. principal component analysis [PCA] or independent component analysis [ICA] or self-organising maps [SOM]; Blind source separation
    • G06V10/774—Generating sets of training patterns; Bootstrap methods, e.g. bagging or boosting
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/70—Arrangements for image or video recognition or understanding using pattern recognition or machine learning
    • G06V10/82—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using neural networks
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content
    • G06V20/46—Extracting features or characteristics from the video content, e.g. video fingerprints, representative shots or key frames
SG11202107121VA 2018-12-29 2019-12-26 Method and apparatus for processing images, device and storage medium SG11202107121VA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811648151.2A CN111382647B (zh) 2018-12-29 2018-12-29 一种图片处理方法、装置、设备及存储介质
PCT/CN2019/128573 WO2020135554A1 (zh) 2018-12-29 2019-12-26 图片处理方法、装置、设备及存储介质

Publications (1)

Publication Number Publication Date
SG11202107121VA true SG11202107121VA (en) 2021-07-29

Family

ID=71128768

Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202107121VA SG11202107121VA (en) 2018-12-29 2019-12-26 Method and apparatus for processing images, device and storage medium

Country Status (5)

Country Link
US (1) US20220083808A1 (ru)
CN (1) CN111382647B (ru)
RU (1) RU2770748C1 (ru)
SG (1) SG11202107121VA (ru)
WO (1) WO2020135554A1 (ru)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN112991494B (zh) * 2021-01-28 2023-09-15 腾讯科技（深圳）有限公司 图像生成方法、装置、计算机设备及计算机可读存储介质
CN113255761A (zh) * 2021-05-21 2021-08-13 深圳共形咨询企业(有限合伙) 反馈神经网络系统及其训练方法、装置及计算机设备
WO2024081872A1 (en) * 2022-10-14 2024-04-18 Bytedance Inc. Method, apparatus, and medium for video processing
CN115963917B (zh) * 2022-12-22 2024-04-16 北京百度网讯科技有限公司 视觉数据处理设备及视觉数据处理方法

Family Cites Families (14)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP5793975B2 (ja) * 2010-08-03 2015-10-14 株式会社リコー 画像処理装置、画像処理方法、プログラム、記録媒体
CN106022221B (zh) * 2016-05-09 2021-11-30 腾讯科技（深圳）有限公司 一种图像处理方法及处理系统
CN108229455B (zh) * 2017-02-23 2020-10-16 北京市商汤科技开发有限公司 物体检测方法、神经网络的训练方法、装置和电子设备
KR101983684B1 (ko) * 2017-08-25 2019-05-30 광운대학교 산학협력단 컨벌루션 신경망을 이용한 임베디드 플랫폼 상의 피플 카운팅 방법
CN108876813B (zh) * 2017-11-01 2021-01-26 北京旷视科技有限公司 用于视频中物体检测的图像处理方法、装置及设备
CN107886093B (zh) * 2017-11-07 2021-07-06 广东工业大学 一种字符检测方法、系统、设备及计算机存储介质
CN108154518B (zh) * 2017-12-11 2020-09-08 广州华多网络科技有限公司 一种图像处理的方法、装置、存储介质及电子设备
CN108288035A (zh) * 2018-01-11 2018-07-17 华南理工大学 基于深度学习的多通道图像特征融合的人体动作识别方法
CN108447078B (zh) * 2018-02-28 2022-06-10 长沙师范学院 基于视觉显著性的干扰感知跟踪算法
CN108492319B (zh) * 2018-03-09 2021-09-03 西安电子科技大学 基于深度全卷积神经网络的运动目标检测方法
US10747811B2 (en) * 2018-05-22 2020-08-18 Adobe Inc. Compositing aware digital image search
CN108846332B (zh) * 2018-05-30 2022-04-29 西南交通大学 一种基于clsta的铁路司机行为识别方法
CN108961220B (zh) * 2018-06-14 2022-07-12 上海大学 一种基于多层卷积特征融合的图像协同显著性检测方法
CN108875654B (zh) * 2018-06-25 2021-03-05 深圳云天励飞技术有限公司 一种人脸特征采集方法及装置

Also Published As

Publication number Publication date
CN111382647A (zh) 2020-07-07
CN111382647B (zh) 2021-07-30
WO2020135554A1 (zh) 2020-07-02
US20220083808A1 (en) 2022-03-17
RU2770748C1 (ru) 2022-04-21

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