SG11202003836YA - Method and apparatus for positioning description statement in image, electronic device, and storage medium - Google Patents

Method and apparatus for positioning description statement in image, electronic device, and storage medium

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Publication number
SG11202003836YA
SG11202003836YA SG11202003836YA SG11202003836YA SG11202003836YA SG 11202003836Y A SG11202003836Y A SG 11202003836YA SG 11202003836Y A SG11202003836Y A SG 11202003836YA SG 11202003836Y A SG11202003836Y A SG 11202003836YA SG 11202003836Y A SG11202003836Y A SG 11202003836YA
Authority
SG
Singapore
Prior art keywords
image
electronic device
storage medium
description statement
positioning description
Prior art date
Application number
SG11202003836YA
Other languages
English (en)
Inventor
Xihui Liu
Jing Shao
Zihao Wang
Hongsheng Li
Xiaogang Wang
Original Assignee
Beijing Sensetime Technology Development Co 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 Beijing Sensetime Technology Development Co Ltd filed Critical Beijing Sensetime Technology Development Co Ltd
Publication of SG11202003836YA publication Critical patent/SG11202003836YA/en

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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5854—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using shape and object relationship
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/50—Information retrieval; Database structures therefor; File system structures therefor of still image data
    • G06F16/58—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually
    • G06F16/583—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content
    • G06F16/5846—Retrieval characterised by using metadata, e.g. metadata not derived from the content or metadata generated manually using metadata automatically derived from the content using extracted text
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/20—Natural language analysis
    • G06F40/279—Recognition of textual entities
    • G06F40/289—Phrasal analysis, e.g. finite state techniques or chunking
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F40/00—Handling natural language data
    • G06F40/30—Semantic analysis
    • 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
    • G06N3/044—Recurrent networks, e.g. Hopfield 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
    • G06N3/04—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
    • G06N3/04—Architecture, e.g. interconnection topology
    • G06N3/049—Temporal neural networks, e.g. delay elements, oscillating neurons or pulsed inputs
    • 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
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00—Arrangements for image or video recognition or understanding
    • G06V10/40—Extraction of image or video features
    • G06V10/44—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components
    • G06V10/443—Local feature extraction by analysis of parts of the pattern, e.g. by detecting edges, contours, loops, corners, strokes or intersections; Connectivity analysis, e.g. of connected components by matching or filtering
    • G06V10/449—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters
    • G06V10/451—Biologically inspired filters, e.g. difference of Gaussians [DoG] or Gabor filters with interaction between the filter responses, e.g. cortical complex cells
    • G06V10/454—Integrating the filters into a hierarchical structure, e.g. convolutional neural networks [CNN]
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/30—Scenes; Scene-specific elements in albums, collections or shared content, e.g. social network photos or video
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/70—Labelling scene content, e.g. deriving syntactic or semantic representations
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/14—Image acquisition
    • G06V30/148—Segmentation of character regions
    • G06V30/153—Segmentation of character regions using recognition of characters or words
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V30/00—Character recognition; Recognising digital ink; Document-oriented image-based pattern recognition
    • G06V30/10—Character recognition
    • G06V30/19—Recognition using electronic means
    • G06V30/191—Design or setup of recognition systems or techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
    • G06V30/1916—Validation; Performance evaluation

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • General Engineering & Computer Science (AREA)
  • Artificial Intelligence (AREA)
  • General Health & Medical Sciences (AREA)
  • Health & Medical Sciences (AREA)
  • Computational Linguistics (AREA)
  • Data Mining & Analysis (AREA)
  • Multimedia (AREA)
  • Evolutionary Computation (AREA)
  • Biomedical Technology (AREA)
  • Molecular Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Library & Information Science (AREA)
  • Mathematical Physics (AREA)
  • Biophysics (AREA)
  • Computing Systems (AREA)
  • Software Systems (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Databases & Information Systems (AREA)
  • Audiology, Speech & Language Pathology (AREA)
  • Biodiversity & Conservation Biology (AREA)
  • Image Analysis (AREA)
SG11202003836YA 2018-11-30 2019-05-09 Method and apparatus for positioning description statement in image, electronic device, and storage medium SG11202003836YA (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN201811459428.7A CN109614613B (zh) 2018-11-30 2018-11-30 图像的描述语句定位方法及装置、电子设备和存储介质
PCT/CN2019/086274 WO2020107813A1 (zh) 2018-11-30 2019-05-09 图像的描述语句定位方法及装置、电子设备和存储介质

Publications (1)

Publication Number Publication Date
SG11202003836YA true SG11202003836YA (en) 2020-07-29

Family

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Family Applications (1)

Application Number Title Priority Date Filing Date
SG11202003836YA SG11202003836YA (en) 2018-11-30 2019-05-09 Method and apparatus for positioning description statement in image, electronic device, and storage medium

Country Status (7)

Country Link
US (1) US11455788B2 (ja)
JP (1) JP6968270B2 (ja)
KR (1) KR102454930B1 (ja)
CN (1) CN109614613B (ja)
SG (1) SG11202003836YA (ja)
TW (1) TWI728564B (ja)
WO (1) WO2020107813A1 (ja)

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CN110096707B (zh) * 2019-04-29 2020-09-29 北京三快在线科技有限公司 生成自然语言的方法、装置、设备及可读存储介质
CN110263755B (zh) 2019-06-28 2021-04-27 上海鹰瞳医疗科技有限公司 眼底图像识别模型训练方法、眼底图像识别方法和设备
US11308492B2 (en) 2019-07-03 2022-04-19 Sap Se Anomaly and fraud detection with fake event detection using pixel intensity testing
US20210004795A1 (en) * 2019-07-03 2021-01-07 Sap Se Anomaly and fraud detection using duplicate event detector
US12039615B2 (en) 2019-07-03 2024-07-16 Sap Se Anomaly and fraud detection with fake event detection using machine learning
CN110413819B (zh) * 2019-07-12 2022-03-29 深兰科技（上海）有限公司 一种图片描述信息的获取方法及装置
CN110516677A (zh) * 2019-08-23 2019-11-29 上海云绅智能科技有限公司 一种神经网络识别模型、目标识别方法及系统
US11461613B2 (en) * 2019-12-05 2022-10-04 Naver Corporation Method and apparatus for multi-document question answering
CN111277759B (zh) * 2020-02-27 2021-08-31 Oppo广东移动通信有限公司 构图提示方法、装置、存储介质及电子设备
CN111738186B (zh) * 2020-06-28 2024-02-02 香港中文大学（深圳） 目标定位方法、装置、电子设备及可读存储介质
CN111859005B (zh) * 2020-07-01 2022-03-29 江西理工大学 一种跨层多模型特征融合与基于卷积解码的图像描述方法
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CN112084319B (zh) * 2020-09-29 2021-03-16 四川省人工智能研究院(宜宾) 一种基于动作的关系网络视频问答系统及方法
WO2022130509A1 (ja) * 2020-12-15 2022-06-23 日本電信電話株式会社 物体検出装置、物体検出方法、及び物体検出プログラム
CN113761153B (zh) * 2021-05-19 2023-10-24 腾讯科技（深圳）有限公司 基于图片的问答处理方法、装置、可读介质及电子设备
WO2024105752A1 (ja) * 2022-11-14 2024-05-23 日本電信電話株式会社 行動認識学習装置、行動認識推定装置、行動認識学習方法、及び行動認識学習プログラム
CN118037888B (zh) * 2024-02-01 2024-10-01 嘉达鼎新信息技术(苏州)有限公司 基于图像分析和语言描述的ai图像生成方法及系统

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Also Published As

Publication number Publication date
JP2021509979A (ja) 2021-04-08
CN109614613A (zh) 2019-04-12
US11455788B2 (en) 2022-09-27
TW202022561A (zh) 2020-06-16
TWI728564B (zh) 2021-05-21
CN109614613B (zh) 2020-07-31
US20200226410A1 (en) 2020-07-16
KR102454930B1 (ko) 2022-10-14
JP6968270B2 (ja) 2021-11-17
KR20200066617A (ko) 2020-06-10
WO2020107813A1 (zh) 2020-06-04

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