17 March 2017 Automatic topics segmentation for TV news video
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Proceedings Volume 10341, Ninth International Conference on Machine Vision (ICMV 2016); 1034114 (2017) https://doi.org/10.1117/12.2268462
Event: Ninth International Conference on Machine Vision, 2016, Nice, France
Abstract
Automatic identification of television programs in the TV stream is an important task for operating archives. This article proposes a new spatio-temporal approach to identify the programs in TV stream into two main steps: First, a reference catalogue for video features visual jingles built. We operate the features that characterize the instances of the same program type to identify the different types of programs in the flow of television. The role of video features is to represent the visual invariants for each visual jingle using appropriate automatic descriptors for each television program. On the other hand, programs in television streams are identified by examining the similarity of the video signal for visual grammars in the catalogue. The main idea of the identification process is to compare the visual similarity of the video signal features in the flow of television to the catalogue. After presenting the proposed approach, the paper overviews encouraging experimental results on several streams extracted from different channels and compounds of several programs.
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Mounira Hmayda, Ridha Ejbali, Mourad Zaied, "Automatic topics segmentation for TV news video", Proc. SPIE 10341, Ninth International Conference on Machine Vision (ICMV 2016), 1034114 (17 March 2017); doi: 10.1117/12.2268462; https://doi.org/10.1117/12.2268462
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