AR099514A1 - MEDIA CONTENT ANNOTATION SYSTEM FOR AUTOMATIC COMPREHENSION OF THE CONTENT - Google Patents

MEDIA CONTENT ANNOTATION SYSTEM FOR AUTOMATIC COMPREHENSION OF THE CONTENT

Info

Publication number
AR099514A1
AR099514A1 ARP150100512A ARP150100512A AR099514A1 AR 099514 A1 AR099514 A1 AR 099514A1 AR P150100512 A ARP150100512 A AR P150100512A AR P150100512 A ARP150100512 A AR P150100512A AR 099514 A1 AR099514 A1 AR 099514A1
Authority
AR
Argentina
Prior art keywords
event
point
time
content
pattern
Prior art date
Application number
ARP150100512A
Other languages
Spanish (es)
Inventor
David Petajan Eric
Sadanand Sreemanananth
Tony Hwang Ting-Hsiang
Original Assignee
Liveclips Llc
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
Priority claimed from US14/186,163 external-priority patent/US9367745B2/en
Application filed by Liveclips Llc filed Critical Liveclips Llc
Publication of AR099514A1 publication Critical patent/AR099514A1/en

Links

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/40Scenes; Scene-specific elements in video content
    • G06V20/41Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items
    • G06V20/42Higher-level, semantic clustering, classification or understanding of video scenes, e.g. detection, labelling or Markovian modelling of sport events or news items of sport video content
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V10/00Arrangements for image or video recognition or understanding
    • G06V10/98Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns
    • G06V10/987Detection or correction of errors, e.g. by rescanning the pattern or by human intervention; Evaluation of the quality of the acquired patterns with the intervention of an operator
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F18/00Pattern recognition
    • G06F18/20Analysing
    • G06F18/21Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
    • G06F18/217Validation; Performance evaluation; Active pattern learning techniques
    • G06F18/2178Validation; Performance evaluation; Active pattern learning techniques based on feedback of a supervisor
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V2201/00Indexing scheme relating to image or video recognition or understanding
    • G06V2201/10Recognition assisted with metadata

Abstract

Un método para corregir la variabilidad temporal en corrientes y datos de medios entrantes a fin de optimizar el rendimiento de un sistema de reconocimiento de patrones incluye los pasos de recibir de una de las corrientes entrantes un punto de tiempo en que se anuncié un evento, aplicar una distribución de probabilidad alrededor del punto de tiempo, desplazar un punto de la más alta probabilidad de distribución de probabilidad retrocediendo en el tiempo una cantidad efectiva para acomodar un retardo entre el evento y el anuncio, comparar un patrón detectado del evento con un patrón almacenado de eventos similares y aplicar un valor de confianza a la comparación, y confirmar al sistema de reconocimiento de patrones que el evento ocurrió en el punto de más alta probabilidad cuando el puntaje de confianza excede un umbral predefinido. El método es útil para determinar el momento en que ocurre una jugada particular durante un evento deportivo, tal como el momento de un tiro al arco en un partido de fútbol.One method of correcting the temporal variability in incoming streams and data of means to optimize the performance of a pattern recognition system includes the steps of receiving from one of the incoming streams a time point at which an event was announced, applying a probability distribution around the point of time, move a point of the highest probability of probability distribution back in time an effective amount to accommodate a delay between the event and the announcement, compare a detected pattern of the event with a stored pattern of similar events and apply a confidence value to the comparison, and confirm to the pattern recognition system that the event occurred at the point of highest probability when the confidence score exceeds a predefined threshold. The method is useful for determining the moment at which a particular play occurs during a sporting event, such as the time of an archery in a football match.

ARP150100512A 2014-02-21 2015-02-20 MEDIA CONTENT ANNOTATION SYSTEM FOR AUTOMATIC COMPREHENSION OF THE CONTENT AR099514A1 (en)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
US14/186,163 US9367745B2 (en) 2012-04-24 2014-02-21 System for annotating media content for automatic content understanding

Publications (1)

Publication Number Publication Date
AR099514A1 true AR099514A1 (en) 2016-07-27

Family

ID=52669655

Family Applications (1)

Application Number Title Priority Date Filing Date
ARP150100512A AR099514A1 (en) 2014-02-21 2015-02-20 MEDIA CONTENT ANNOTATION SYSTEM FOR AUTOMATIC COMPREHENSION OF THE CONTENT

Country Status (2)

Country Link
AR (1) AR099514A1 (en)
WO (1) WO2015126830A1 (en)

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7339992B2 (en) * 2001-12-06 2008-03-04 The Trustees Of Columbia University In The City Of New York System and method for extracting text captions from video and generating video summaries
US20040068758A1 (en) * 2002-10-02 2004-04-08 Mike Daily Dynamic video annotation
US8611723B2 (en) * 2006-09-06 2013-12-17 James Andrew Aman System for relating scoreboard information with event video
TWI332640B (en) * 2006-12-01 2010-11-01 Cyberlink Corp Method capable of detecting a scoreboard in a program and related system
KR20110021195A (en) * 2009-08-25 2011-03-04 삼성전자주식회사 Method and apparatus for detecting an important information from a moving picture
US8922718B2 (en) * 2009-10-21 2014-12-30 Disney Enterprises, Inc. Key generation through spatial detection of dynamic objects
EP2707834B1 (en) * 2011-05-13 2020-06-24 Vizrt Ag Silhouette-based pose estimation
US20130283143A1 (en) * 2012-04-24 2013-10-24 Eric David Petajan System for Annotating Media Content for Automatic Content Understanding

Also Published As

Publication number Publication date
WO2015126830A1 (en) 2015-08-27

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