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Titlebook: Analysis, Retrieval and Delivery of Multimedia Content; Nicola Adami,Andrea Cavallaro,Pierangelo Migliorat Book 2013 Springer Science+Busi

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Diskussion und Schlussfolgerungena have been introduced. These observations lead to the fact that distributed and heterogeneous multimedia repositories exist, whereas an easy and unified access to the stored multimedia data is not given. This chapter presents an architecture, named AIR, that offers the aforementioned retrieval poss
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Diskussion und Schlussfolgerungenrest point detection and description in images, feature tracks are defined as sets of local interest points that are found in different frames of a video shot and exhibit spatio-temporal and visual continuity, thus defining a trajectory in the 2D+Time space. These tracks jointly capture the spatial
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Yi-Chun Yeh,Ming-Jer Tang M.D., Ph.D.ate than specific affine region detection methods. While others works attempt this by using iterative algorithms developed for template matching, our method introduces a direct estimation of the transformation. It performs the following steps. First, a training set of features captures geometry and
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Thomas Unsoeld,Jesse Taylor,Harald Hutterof the inherent latency of client-server communication, the experiments of this study prove that a significant benefit, can be achieved, in terms of both quality and responsiveness, by anticipating certain data from the rest of the sequence while an image is being explored. In this work a model base
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https://doi.org/10.1007/978-1-4614-3831-13DTV Transmission; AIR: Architecture for Interoperable Retrieval; Image Sequences; Motion and Activity
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