Interactive Multimodal Television Media Adaptive Visual Communication Based on Clustering Algorithm
This article starts with the environmental changes in human cognition, analyzes the virtual as the main feature of visual perception under digital technology, and explores the transition from passive to active human cognitive activities. With the diversified understanding of visual information, huma...
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| Veröffentlicht in: | Complexity (New York, N.Y.) Jg. 2020; H. 2020; S. 1 - 9 |
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| Format: | Journal Article |
| Sprache: | Englisch |
| Veröffentlicht: |
Cairo, Egypt
Hindawi Publishing Corporation
30.12.2020
Hindawi John Wiley & Sons, Inc Wiley |
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| ISSN: | 1076-2787, 1099-0526 |
| Online-Zugang: | Volltext |
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| Abstract | This article starts with the environmental changes in human cognition, analyzes the virtual as the main feature of visual perception under digital technology, and explores the transition from passive to active human cognitive activities. With the diversified understanding of visual information, human contradiction of memory also began to become prominent. Aiming at the problem that the existing multimodal TV media recognition methods have low recognition rate of unknown application layer protocols, an adaptive clustering method for identifying unknown application layer protocols is proposed. This method clusters application layer protocols based on similarity of the load characteristics of network stream application layer protocol data. The method divides the similarity calculation in the clustering algorithm to improve the clustering efficiency of the algorithm. Experimental results show that the proposed method can efficiently and accurately recognize unknown visual communication. This article proposes that, in the interactive multimodal visual information transmission, human visual perception experience has changed, the diversity of visual information content expression makes the aesthetic subject more personalized and stylized. |
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| AbstractList | This article starts with the environmental changes in human cognition, analyzes the virtual as the main feature of visual perception under digital technology, and explores the transition from passive to active human cognitive activities. With the diversified understanding of visual information, human contradiction of memory also began to become prominent. Aiming at the problem that the existing multimodal TV media recognition methods have low recognition rate of unknown application layer protocols, an adaptive clustering method for identifying unknown application layer protocols is proposed. This method clusters application layer protocols based on similarity of the load characteristics of network stream application layer protocol data. The method divides the similarity calculation in the clustering algorithm to improve the clustering efficiency of the algorithm. Experimental results show that the proposed method can efficiently and accurately recognize unknown visual communication. This article proposes that, in the interactive multimodal visual information transmission, human visual perception experience has changed, the diversity of visual information content expression makes the aesthetic subject more personalized and stylized. |
| Audience | Academic |
| Author | Zhang, Xin Yang, Huayuan |
| Author_xml | – sequence: 1 fullname: Yang, Huayuan – sequence: 2 fullname: Zhang, Xin |
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| Cites_doi | 10.1080/0144929x.2018.1505954 10.1177/1750481315623892 10.1080/1369118x.2018.1486871 10.1016/j.dcm.2017.11.004 10.1080/08838151.2018.1483935 10.1007/978-3-642-54487-3_14 10.1163/9789004359574_013 10.1016/j.ssci.2018.10.029 10.1177/1550147719864886 10.1177/1077800418792022 10.1177/1470357218779117 10.46568/jssh.v57i2.42 10.1080/10350330.2020.1720992 10.1016/j.ijhcs.2016.09.015 10.37284/eajass.2.1.130 10.1016/j.pragma.2019.09.012 10.17718/tojde.382655 10.1177/1470357217717142 10.1080/10584609.2019.1674979 |
| ContentType | Journal Article |
| Copyright | Copyright © 2020 Huayuan Yang and Xin Zhang. COPYRIGHT 2020 John Wiley & Sons, Inc. Copyright © 2020 Huayuan Yang and Xin Zhang. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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| DOI | 10.1155/2020/6618245 |
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| References | 26 A. Belozertsev (1) N. Vryzas (8) J. Li (23) K. M. Bos (22) 2013 J. Cox (14) 10 12 13 K. M. Mahmoud (24) 15 16 17 18 19 S. Wahl (11) 2018 2 3 4 P. Gang (25) 5 6 7 9 20 21 |
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| SubjectTerms | Adaptive algorithms Aesthetics Algorithms Classification Clustering Cognition Cognition & reasoning Design techniques Digital technology Information dissemination Information management Light Methods Neural networks Protocol Protocol (computers) Recognition Similarity Television User behavior Visual communication Visual perception Visual perception driven algorithms |
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| Title | Interactive Multimodal Television Media Adaptive Visual Communication Based on Clustering Algorithm |
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