|
|
|
Series on Software Engineering and Knowledge Engineering - Vol. 17
MULTIMEDIA DATABASES AND IMAGE COMMUNICATION
Proceedings of the Workshop on MDIC 2004
Salerno, Italy 22 June 2004
edited by Andrea F Abate, Michele Nappi & Monica Sebillo (Università di Salerno, Italy)
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.
Contents:
- A Context-Aware Framework for Multimodal Document Databases (A
Celentano & O Gaggi)
- Endowing Geographic Information Systems with a Cognitive Level (A De Simone et al.)
- A Simple Fuzzy Extension to the Search of Documents on the Web (L Ďi Lascio et al.)
- Developing a System for the Retrieval of Melodies from Web Repositories (R Distasi et al.)
- Fast Face Recognition Using Fractal Range/Domain Classification (D Riccio)
- A Method for 3D Face Recognition Based on Mesh Normals (S Ricciardi & G Sabatino)
- High-D Data Visualization Methods via Probabilistic Principal Surfaces for Data Mining Applications (A Staiano et al.)
- A Study on Recovering the Cloud-Top Height from Infra-Red Video Sequences (A Anzalone et al.)
- Powerful Tools for Data Mining: Fractals, Power Laws, SVD and More (C Faloutsos)
- An Unsupervised Shot Classification System for News Video Story Detection (M De Santo et al.)
- 3D-TV — The Future of Visual Entertainment (M A Magnor)
- Entropy as a Feature in the Analysis and Classification of Signals (A Casanova et al.).
Readership: Academics and researchers in databases and communication.
| 132pp |
Pub. date: Feb 2005 |
|
|
