Flexible descriptor indexing for multimedia databases

Bibliographic Details
Main Author: Catalin Calistru
Publication Date: 2005
Other Authors: Cristina Ribeiro, Gabriel David
Format: Book
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: https://hdl.handle.net/10216/70224
Summary: Current multimedia applications require efficient tools for modeling and search. While solid models must support a large variety of concepts like sets, sub-sets, part-of hierarchies and integrate standards like Dublin Core, MPEG-7 (descriptors, descriptor schemes), TV-Anytime, MPEG-21 (digital item, digital item adaptation, digital item identification), the search algorithms must deal with heterogeneous multimedia data (text, image, audio and video). The search in audiovisual data requires the use of heterogeneous metadata representing a wide range of features, from low-level ones (color, motion) to high level ones (subject, mood), or domain-dependent concepts. The current work is part of the development of a prototype Multimedia Database and addresses the problem of choosing the proper storage and search strategy for the descriptors in the multimedia database. It includes a review of the main applicable data structures and search techniques and a case study from the point of view of our system requirements.
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spelling Flexible descriptor indexing for multimedia databasesInformática, Ciências da computação e da informaçãoInformatics, Computer and information sciencesCurrent multimedia applications require efficient tools for modeling and search. While solid models must support a large variety of concepts like sets, sub-sets, part-of hierarchies and integrate standards like Dublin Core, MPEG-7 (descriptors, descriptor schemes), TV-Anytime, MPEG-21 (digital item, digital item adaptation, digital item identification), the search algorithms must deal with heterogeneous multimedia data (text, image, audio and video). The search in audiovisual data requires the use of heterogeneous metadata representing a wide range of features, from low-level ones (color, motion) to high level ones (subject, mood), or domain-dependent concepts. The current work is part of the development of a prototype Multimedia Database and addresses the problem of choosing the proper storage and search strategy for the descriptors in the multimedia database. It includes a review of the main applicable data structures and search techniques and a case study from the point of view of our system requirements.20052005-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/70224engCatalin CalistruCristina RibeiroGabriel Davidinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-02-27T18:56:50Zoai:repositorio-aberto.up.pt:10216/70224Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T23:03:43.358832Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Flexible descriptor indexing for multimedia databases
title Flexible descriptor indexing for multimedia databases
spellingShingle Flexible descriptor indexing for multimedia databases
Catalin Calistru
Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
title_short Flexible descriptor indexing for multimedia databases
title_full Flexible descriptor indexing for multimedia databases
title_fullStr Flexible descriptor indexing for multimedia databases
title_full_unstemmed Flexible descriptor indexing for multimedia databases
title_sort Flexible descriptor indexing for multimedia databases
author Catalin Calistru
author_facet Catalin Calistru
Cristina Ribeiro
Gabriel David
author_role author
author2 Cristina Ribeiro
Gabriel David
author2_role author
author
dc.contributor.author.fl_str_mv Catalin Calistru
Cristina Ribeiro
Gabriel David
dc.subject.por.fl_str_mv Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
topic Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
description Current multimedia applications require efficient tools for modeling and search. While solid models must support a large variety of concepts like sets, sub-sets, part-of hierarchies and integrate standards like Dublin Core, MPEG-7 (descriptors, descriptor schemes), TV-Anytime, MPEG-21 (digital item, digital item adaptation, digital item identification), the search algorithms must deal with heterogeneous multimedia data (text, image, audio and video). The search in audiovisual data requires the use of heterogeneous metadata representing a wide range of features, from low-level ones (color, motion) to high level ones (subject, mood), or domain-dependent concepts. The current work is part of the development of a prototype Multimedia Database and addresses the problem of choosing the proper storage and search strategy for the descriptors in the multimedia database. It includes a review of the main applicable data structures and search techniques and a case study from the point of view of our system requirements.
publishDate 2005
dc.date.none.fl_str_mv 2005
2005-01-01T00:00:00Z
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dc.language.iso.fl_str_mv eng
language eng
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