Treffer: Toward semantic retrieval of pictures and video
Title:
Toward semantic retrieval of pictures and video
Authors:
Source:
Intelligent multimedia information retrieval systems and management (New York NY, October 11-12, 1994). :676-686
Publisher Information:
Paris: CID, 1994.
Publication Year:
1994
Physical Description:
print, 16 ref
Original Material:
INIST-CNRS
Subject Terms:
Documentation, Sciences exactes et technologie, Exact sciences and technology, Sciences et techniques communes, Sciences and techniques of general use, Sciences de l'information. Documentation, Information science. Documentation, Systèmes de recherche d'informations. Système de gestion documentaire et d'information, Information retrieval systems. Information and document management system, Systèmes de recherche d'information, Information retrieval systems, Sciences de l'information et de la communication, Information and communication sciences, Système de recherche documentaire. Système de gestion documentaire et d'information, Informatique documentaire, Documentation data processing, Información documental, Intelligence artificielle, Artificial intelligence, Inteligencia artificial, Lexicographie, Lexicography, Lexicografía, Sémantique, Semantics, Semántica, Analyse contenu, Content analysis, Análisis contenido, Base connaissance, Knowledge base, Base conocimiento, Dictionnaire automatique, Automatic dictionary, Diccionario automático, Incorporation, Incorporación, Orienté objet, Object oriented, Orientado objeto, Relation sémantique, Semantic relation, Relación semántica, Représentation connaissances, Knowledge representation, Representación conocimientos, Traitement image, Image processing, Procesamiento imagen, Connaissance sémantique, Semantic knowledge, Indexation image, Image indexing, Recherche image, Image retrieval
Document Type:
Konferenz
Conference Paper
File Description:
text
Language:
English
Author Affiliations:
MIT, media lab., Cambridge MA 02139, United States
Rights:
Copyright 1995 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Sciences of information and communication. Documentation
FRANCIS
FRANCIS
Accession Number:
edscal.3553828
Database:
PASCAL Archive
Weitere Informationen
Existing techniques for content-based retrieval of pictures and video are based either on physical characteristics of the data like color and texture, or on a representation of the objects and actions depicted by the data . But the fact that there are many equivalent reprsentations of a given picture or video clip poses a significant problem for object-based techniques in matching user's queries to the represented collection. This paper proposed a possible solution to this problem through the use of semantic knowledge from multiple large-scale sources. Several rules are presented to illustrate the proper incorporation of semantic relations into the process of matching queries to object-based representations of pictures and video.