61 research outputs found

    How to achieve perception of real-world scenes: A case study

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    CLINICAL DIAGNOSIS OF CHLAMYDIAL PNEUMONIA IN INFANCY

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    Adoption of the MPEG-21 digital broadcast item model (DBIM) towards QoS metadata management

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    MPEG-21 is a multimedia framework well suited for asset management of broadcast content. Especially for television broadcasters, MPEG-21 has been applied as asset management standard within the Digital Broadcast Item Model (DBIM). Within the scope of this paper, the DBIM is adopted to the needs of the IST IP ENTHRONE 2. ENTHRONE 2 devotes to the Quality of Service (QoS) management from content creation to content consumption over heterogeneous networks. This paper integrates the QoS metadata management issues from ENTHRONE 2 into the DBIM. This paper describes an MPEG-21 based metadata management solution for maintaining service quality throughout a heterogeneous network environment. It provides a metadata model based on the DBIM especially focusing on the needs of ENTHRONE 2. ©2008 IEEE

    Measuring YouTube QoE with ITU-T P.1203 Under Constrained Bandwidth Conditions

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    The available Internet bandwidth has a strong impact on the Quality of Experience of video services. In order to manage their network efficiently and prevent customer churn, Internet Service Providers need to constantly monitor the QoE of video services such as YouTube. However, they often only rely on simple measurement scenarios that consider only one video being loaded repeatedly. In this paper we compare this scenario against a new approach in which multiple videos are being loaded in a session, thereby simulating user behavior. Using a testbed, we study the impact of download speeds on Key Performance Indicators (KPIs such as initial loading time and stalling events) and user QoE as measured using the ITU-T P.1203 standard. We show that the monitoring paradigm has a significant impact on the obtained results. We further provide a prediction model for estimating the impact of download speed on KPIs and user QoE.</p

    Automatically Analyzing and Organizing Music Archives

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    . We are experiencing a tremendous increase in the amount of music being made available in digital form. With the creation of large multimedia collections, however, we need to devise ways to make those collections accessible to the users. While music repositories exist today, they mostly limit access to their content to query-based retrieval of their items based on textual meta-information, with some advanced systems supporting acoustic queries. What we would like to have additionally, is a way to facilitate exploration of musical libraries. We thus need to automatically organize music according to its sound characteristics in such a way that we nd similar pieces of music grouped together, allowing us to nd a classical section, or a hard-rock section etc. in a music repository. In this paper we present an approach to obtain such an organization of music data based on an extension to our SOMLib digital library system for text documents. Particularly, we employ the Self-Organizing Map to create a map of a musical archive, where pieces of music with similar sound characteristics are organized next to each other on the two-dimensional map display. Locating a piece of music on the map then leaves you with related music next to it, allowing intuitive exploration of a music archive. Keywords: Multimedia, Music Library, Self-Organizing Map (SOM), Exploration of Information Spaces, User Interface, MP3
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