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MX2016014057A - Metodo y aparato para organizar contenido de medios. - Google Patents

Metodo y aparato para organizar contenido de medios.

Info

Publication number
MX2016014057A
MX2016014057A MX2016014057A MX2016014057A MX2016014057A MX 2016014057 A MX2016014057 A MX 2016014057A MX 2016014057 A MX2016014057 A MX 2016014057A MX 2016014057 A MX2016014057 A MX 2016014057A MX 2016014057 A MX2016014057 A MX 2016014057A
Authority
MX
Mexico
Prior art keywords
images
cluster
common features
media content
organizing media
Prior art date
Application number
MX2016014057A
Other languages
English (en)
Inventor
Begeja Lee
S Renger Bernard
Crawford Gibbon David
Shahraray Behzad
GOPALAN Raghuraman
Zhu Liu
Ruth Reibman Amy
ZAVESKY Eric
Original Assignee
At & T Ip I Lp
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 At & T Ip I Lp filed Critical At & T Ip I Lp
Publication of MX2016014057A publication Critical patent/MX2016014057A/es

Links

Classifications

    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V20/47—Detecting features for summarising video content
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F16/51—Indexing; Data structures therefor; Storage structures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06F18/211—Selection of the most significant subset of features
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/22—Matching criteria, e.g. proximity measures
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/23—Clustering techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00—Pattern recognition
    • G06F18/20—Analysing
    • G06F18/24—Classification techniques
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/762—Arrangements for image or video recognition or understanding using pattern recognition or machine learning using clustering, e.g. of similar faces in social networks
    • G06V10/763—Non-hierarchical techniques, e.g. based on statistics of modelling distributions
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; 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
    • G06V10/771—Feature selection, e.g. selecting representative features from a multi-dimensional feature space
    • G—PHYSICS
    • G06—COMPUTING OR CALCULATING; COUNTING
    • G06V—IMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00—Scenes; Scene-specific elements
    • G06V20/40—Scenes; Scene-specific elements in video content

Landscapes

  • Engineering & Computer Science (AREA)
  • Theoretical Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Data Mining & Analysis (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Evolutionary Computation (AREA)
  • Artificial Intelligence (AREA)
  • Software Systems (AREA)
  • General Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Databases & Information Systems (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Evolutionary Biology (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Computing Systems (AREA)
  • Health & Medical Sciences (AREA)
  • Probability & Statistics with Applications (AREA)
  • Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
  • Image Analysis (AREA)
  • Processing Or Creating Images (AREA)
  • Television Signal Processing For Recording (AREA)

Abstract

Un método que incorpora las enseñanzas de la presente divulgación puede incluir, por ejemplo, determinar, a través de un sistema que comprende un procesador, características más comunes de una pluralidad de imágenes de acuerdo con matrices de similitud que indican similitudes relativas entre casos de características comunes que ocurren dentro de múltiples imágenes de la pluralidad de imágenes, definir, a través del sistema, grupos de conjuntos asociados con las características más comunes, donde cada grupo de conjuntos comprende imágenes de conjuntos de la pluralidad de imágenes, y donde las características más comunes están presentes en cada una de las imágenes de conjuntos, y ejecutar, a través del sistema, filtración basada en calidad en las imágenes de conjuntos para identificar una imagen de conjunto objetivo para representar las imágenes de conjuntos para cada uno de los grupos de conjuntos; se divulgan otras modalidades.
MX2016014057A 2014-04-29 2015-04-23 Metodo y aparato para organizar contenido de medios. MX2016014057A (es)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US14/264,697 US10002310B2 (en) 2014-04-29 2014-04-29 Method and apparatus for organizing media content
PCT/US2015/027205 WO2015167913A1 (en) 2014-04-29 2015-04-23 Method and apparatus for organizing media content

Publications (1)

Publication Number Publication Date
MX2016014057A true MX2016014057A (es) 2017-05-03

Family

ID=53267559

Family Applications (1)

Application Number Title Priority Date Filing Date
MX2016014057A MX2016014057A (es) 2014-04-29 2015-04-23 Metodo y aparato para organizar contenido de medios.

Country Status (3)

Country Link
US (3) US10002310B2 (es)
MX (1) MX2016014057A (es)
WO (1) WO2015167913A1 (es)

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Also Published As

Publication number Publication date
US20210049407A1 (en) 2021-02-18
US20150310309A1 (en) 2015-10-29
US10860886B2 (en) 2020-12-08
US10002310B2 (en) 2018-06-19
WO2015167913A1 (en) 2015-11-05
US20180260660A1 (en) 2018-09-13

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