Name-It: Association of Face and Name in Video.

Abstract

This paper proposes a novel approach to extract meaningful content information from video by collaborative integration of image understanding and natural language processing. As an actual example, we developed a system that associates faces and names in videos, called Name-It, which is given news videos as a knowledge source, then automatically extracts face and name association as content information. The system can infer the name of a given unknown face image, or guess faces which are likely to have the name given to the system. This paper explains the method with several successful matching results which reveal effectiveness in integrating heterogeneous techniques as well as the importance of real content information extraction from video, especially face-name association.

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Document Details

Document Type
Technical Report
Publication Date
Dec 20, 1996
Accession Number
ADA322283

Entities

People

  • Shin Ichi Satoh
  • Takeo Kanade

Organizations

  • Carnegie Mellon University

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Automated Speech Recognition
  • Change Detection
  • Computations
  • Computer Science
  • Detection
  • Detectors
  • Dictionaries
  • Digital Video
  • Eigenvectors
  • Extraction
  • Histograms
  • Image Processing
  • Iterations
  • Language
  • Natural Language Processing
  • Natural Languages

Fields of Study

  • Computer science

Readers

  • Distributed Systems and Data Platform Development
  • Human-Computer Interaction (HCI).
  • Library and Information Science

Technology Areas

  • AI & ML
  • AI & ML - Information Retrieval