Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/70224
Author(s): Catalin Calistru
Cristina Ribeiro
Gabriel David
Title: Flexible descriptor indexing for multimedia databases
Issue Date: 2005
Abstract: 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.
Subject: Informática, Ciências da computação e da informação
Informatics, Computer and information sciences
Scientific areas: Ciências exactas e naturais::Ciências da computação e da informação
Natural sciences::Computer and information sciences
URI: https://repositorio-aberto.up.pt/handle/10216/70224
Source: Proceedings of the Fourth International Workshop on Content-Based Multimedia Indexing
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

Files in This Item:
File Description SizeFormat 
70422.pdf234.6 kBAdobe PDFThumbnail
View/Open


This item is licensed under a Creative Commons License Creative Commons