多媒体数据库与图像通信

出版社:Pengiun Group (USA)
出版日期:2004-12
ISBN:9789812561374
作者:Abate, Andrea F.; Nappi, Michele; Sebillo, Monica
页数:132页

作者简介

There is a strong need for advances in the fields of image indexing and retrieval and visual query languages for multimedia databases. Image technology is facing both classical and novel problems for the organization and filtering of increasingly large amounts of pictorial data. Novel kinds of problems, such as indexing and high-level content-base, accessing to image databases, human interaction with multimedia systems, approaches to multimedial data, biometrics, data mining, computer graphics and augmented reality, have grown into real-life issues. The papers in this proceedings volume relate to the subject matter of multimedia databases and image communication. They offer different approaches which help to keep the field of research lively and interesting.

书籍目录

PrefaceA Context-Aware Framework for Multimodal DocumentDatabases  Augusto Celentano and Ombretta GaggiEndowing Geographic Information Systems with aCognitive Level Alessio De Simone, Ferrante Formato and Nicla PaUadinoA Simple Fuzzy Extension to the Search of Documents onthe Web Luidi Di Lascio, Enrico Fischetti, Antonio Gisolfi, Aniello Nappi and Antonio SantangeloDeveloping a System for the Retrieval of Melodies fromWeb Repositories Ricardo Distasi, Luca Paolino and Giuseppe ScannielloFast Face Recognition Using Fractal Range/Domain Classification Daniel RiccioA Method for 3D Face Recognition Stafano Ricciardi and GabrieleHigh-D Data Visualization Methods via Probabilistic PrincipalSurfaces for Data Mining Applications A. Staiano, R. Tagliaferri, L. De Vinco and G. LongoA Study on Recovering the Cloud-Top Height from Infra-RedVideo Sequences Anna Anzalone, Francesco Isgro and Domenico TegoloPowerful Tools for Data Mining: Fractals, Power Laws, SVDand More Christos FaloutsosAn Unsupervised Shot Classification System for News VideoStory Detection M. De Santo, G. PereanneUa, C. Sansone and M. Vento3D-TV - The Future of Visual Entertainment M. MagnorEntropy as a Feature in the Analysis and Classification of Signals Andrea Casanova and Sergio Vitulano 


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