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Auflistung nach Schlagwort "Features"

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  • Konferenzbeitrag
    Automated Classification of Film Scenes based on Film Grammar
    (Workshop Audiovisuelle Medien WAM 2010, 2010) Lanz, Cornelia; Lukashevich, Hanna; Nowak, Stefanie
    Whenever there are extensive data collections to handle, metadata can help to structure and simplify this task. On websites for Video on Demand services or for film recommendations, we often find tags to describe and to search for films. However, manual tagging of films is a time-consuming task with a strong demand for human resources. In this paper, we present an approach for automated classification and indexing of film scenes. Although the classification algorithm uses audiovisual information, we mainly focus on visual information. The conception of the visual features is based on film grammar. In order to cover multiple aspects of film grammar, we enrich the row of state-of-the-art visual features by several novel ones. The evaluation of the classification framework is performed on five categories Suspense, Interaction, Essential Features, Dynamic and Valence. Altogether, the best classification rate equals an accuracy of 83.60% for the classification of the amount of dynamics in film scenes.
  • Konferenzbeitrag
    Reasoning about Product-Line Evolution using Complex Feature Model Differences
    (Software Engineering 2017, 2017) Bürdek, Johannes; Kehrer, Timo; Lochau, Malte; Reuling, Dennis; Kelter, Udo; Schürr, Andy
    In this work, we report about research results on the Reasoning about Product-Line Evo- lution using Complex Feature Model Differences, published in [Bu ̈15]. A (software) product-line constitutes a long-term investment and, therefore, has to undergo continuous evolution to meet con- stantly changing requirements. Initially, product-line evolution leads to changes of the variability model, typically a feature model, due to its central role in the product-line paradigm. Thus, product- line engineers are often faced with the problems that (1) feature models are changed ad-hoc without proper documentation, and (2) the semantic impact of changes is unclear. We propose a comprehen- sive approach to tackle both challenges. For (1), our approach compares the old and new version of the diagram representation of a feature model and specifies the changes using edit operations on feature diagrams. For (2), we propose a novel approach for reasoning about the semantic impact of diagram changes. We present a set of edit operations on feature diagrams, where complex operations are primarily derived from evolution scenarios observed in a real-world case study. We demonstrate the applicability of our approach with respect to the case study, and evaluate its scalability concern- ing experimental data sets.