This work presents a partial development within the Internet2 Catalan project called "Integrated Project" which aims to design and build an advanced Internet environment based on Universal Multimedia Access (UMA) concept using MPEG-21 standard tools in order to enable transparent and augmented use of multimedia content across a wide range of networks, devices and by different users. The project is integrated with several modules using Web Service architecture in an interoperable manner to accomplish a complete distributed system. Within this framework, the DI Management & Personalization module provides services such as content recommendation, advanced searches, best content adaptation possibilities and session mobility management. By means of cataloguing tools, user preferences setting and update according to user's habit consumption, it offers content recommendations taking also into account user preferences, terminal capabilities, and network characteristics. Finally, during the consumption process, the Adaptation Decision Engine selects the best adaptation process in each case taking into account network characteristics, terminal capabilities, and state of AV content transcoding servers. The module provides extensive use of MPEG-21 and MPEG-7 standards ensuring interoperability with other similar systems.
The GMF4iTV project (Generic Media Framework for Interactive Television) is an IST European project that consists of an end-to-end broadcasting platform providing interactivity on heterogeneous multimedia devices such as Set-Top-Boxes and PCs according to the Multimedia Home Platform (MHP) standard from DVB. This platform allows the content providers to create enhanced audiovisual contents with a degree of interactivity at moving object level or shot change from a video. The end user is then able to interact with moving objects from the video or individual shots allowing the enjoyment of additional contents associated to them (MHP applications, HTML pages, JPEG, MPEG4 files...). This paper focus the attention to the issues related to metadata and content transmission, synchronization, signaling and bitrate allocation of the GMF4iTV project.
Digital television is a reality providing new facilities for multimedia content delivery. Due to the large amount of available content from multiple broadcasters, the use of personalized recommendation techniques can help the user in the process of consuming A/V content. The combination of content description standards as MPEG7 and TV Anytime, and Personal Digital Recorders (PDRs) may allow to the user to organize the TV Program Guide of its interest whenever and however he wants, achieving a real "a la carte TV". In this paper we present an end-to-end digital TV system able to offer A/V contents according to the TV viewer preferences following DVB and TV Anytime standards.
We process multispectral satellite imagery to load into our environmental database on the UCSC/NPS/MBARI-REINAS project. We have developed methods for segmenting GOES (Geostationary Operational Environmental Satellite) images that take advantage of the multispectral data available. Our algorithm performs classification of different types of clouds, as well as characterization of the cloud elevations. The resulting information is used to incorporate the texture mapped satellite imagery into a combined model/measurement visualization. The approximate cloud elevations, types, and opacities are used to develop a three-dimensional model of the cloud for use in visualization. Discrete Karhunen-Loeve transformations, or Hotelling transformations, are used to calculate the principle components from the multispectral data. The accurate segmentation and feature extraction of the clouds assists in validation and evaluation of atmospheric prediction models with true remotely sensed data. We demonstrate the integrated measurement model visualization with an open GL application using texture mapping. The spectral data is also used to control the free parameters in the texture mapping of the modeled clouds. We are working on further improvements to develop novel compression techniques utilizing the KLT with segmentation and feature extraction, and also hope to develop algorithms that visualize the compressed imagery directly.
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.