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Titlebook: Handbuch für die Telekommunikation; Volker Jung,Hans-Jürgen Warnecke Book 19981st edition Springer-Verlag Berlin Heidelberg 1998 Audio.Die

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aper. The factor is used to adjust the conventional JND threshold appropriately. The experimental result shows that the proposed JND model tolerates much more distortion with the same perceptual quality compared with the existing JND profiles.
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Gerhard Arndt,Björn-Eske Christensen,Jürgen Kanzow,Hans Lobensommer,Walter Neuss,Helmut Müller,Peter Experiments show that our proposed coding scheme achieves higher efficiency than H.264 and HEVC in terms of rate-distortion performance. The proposed frame interpolation method is also verified to be more accurate than state-of-the-art methods.
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to dynamically reconfigure and reorganize itself at run-time so as to adapt to user interaction. Additionally, GLIDE provides a mechanism to ensure that the abstract composition of the interface remains consistent across a range of ubiquitous devices.
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Book 19981st editionsem umfassenden Handbuch. Die Inhalte wurden streng nach Praxisrelevanz ausgewählt, so daß nicht nur technische, sondern auch rechtliche, ökonomische und gesellschaftliche Aspekte Aufnahme fanden. Die beteiligten Spitzenrepräsentanten führender deutscher Telekommunikationsunternehmen und wissenschaf
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F. R. Bartsch,Horst Besier,Uwe Dankert,Heinz Dibold,Martin Diekmeier,Klemens Hahn,Leif Heitzer,Hans-global scene information, we build a bilinear convolutional neural network (B-CNN) consisting of VGG16 networks to model local pairwise feature interactions in a translationally invariant manner. The experimental results show that the fused feature could effectively improve the performance.
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Uwe Baumgarten,Gerd Siegmund,Peter Pernsteiner,Wolfgang Peters,Jürgen Zieglernized 6 special sessions. We acknowledge the great contribution from our program committee members and paper reviewers who spent many hours reviewing submitted papers and providing valuable com978-3-540-42680-6978-3-540-45453-3Series ISSN 0302-9743 Series E-ISSN 1611-3349
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ve introduced an eight-layer deep residual network to extract image features for compression and understanding. For compression, a scalar quantizer and an entropy coder are utilized to remove redundancy. Rate-distortion optimization is integrated to improve the coding efficiency where rate is estima
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e perplexed by vagueness among videos, which often lead to grammatical correct but less germane results. In this paper, we propose an effective end-to-end network, called a Collaborative Detection and Caption network, which takes a video caption network as video-to-sentence sub-network and principle
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